Abstract is missing.
- Orthogonal Transformer: An Efficient Vision Transformer Backbone with Token OrthogonalizationHuaibo Huang, Xiaoqiang Zhou, Ran He. [doi]
- Coreset for Line-Sets ClusteringSagi Lotan, Ernesto Evgeniy Sanches Shayda, Dan Feldman. [doi]
- Rank Diminishing in Deep Neural NetworksRuili Feng, Kecheng Zheng, Yukun Huang, Deli Zhao, Michael I. Jordan, Zheng-Jun Zha. [doi]
- Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related SubpopulationsJeff Z. HaoChen, Colin Wei, Ananya Kumar, Tengyu Ma 0001. [doi]
- Beyond Mahalanobis Distance for Textual OOD DetectionPierre Colombo, Eduardo Dadalto Câmara Gomes, Guillaume Staerman, Nathan Noiry, Pablo Piantanida. [doi]
- Temporally-Consistent Survival AnalysisLucas Maystre, Daniel Russo 0001. [doi]
- Structured Recognition for Generative Models with Explaining AwayChangmin Yu, Hugo Soulat, Neil Burgess, Maneesh Sahani. [doi]
- Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from ScratchHossein Souri, Liam Fowl, Rama Chellappa, Micah Goldblum, Tom Goldstein. [doi]
- Online Decision MediationDaniel Jarrett, Alihan Hüyük, Mihaela van der Schaar. [doi]
- On the Learning Mechanisms in Physical ReasoningShiqian Li, Kewen Wu 0004, Chi Zhang 0017, Yixin Zhu. [doi]
- Improving 3D-aware Image Synthesis with A Geometry-aware DiscriminatorZifan Shi, Yinghao Xu, Yujun Shen, Deli Zhao, Qifeng Chen, Dit-Yan Yeung. [doi]
- Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent ArmsXutong Liu 0002, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C. S. Lui, Wei Chen 0013. [doi]
- Private Estimation with Public DataAlex Bie, Gautam Kamath 0001, Vikrant Singhal. [doi]
- Defending Against Adversarial Attacks via Neural Dynamic SystemXiyuan Li, Zou Xin, Weiwei Liu. [doi]
- MBW: Multi-view Bootstrapping in the WildMosam Dabhi, Chaoyang Wang, Tim Clifford, László A. Jeni, Ian R. Fasel, Simon Lucey. [doi]
- Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax OptimizationAniket Das, Bernhard Schölkopf, Michael Muehlebach. [doi]
- Large Language Models are Zero-Shot ReasonersTakeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, Yusuke Iwasawa. [doi]
- Generative multitask learning mitigates target-causing confoundingTaro Makino, Krzysztof J. Geras, KyungHyun Cho. [doi]
- Dynamics of SGD with Stochastic Polyak Stepsizes: Truly Adaptive Variants and Convergence to Exact SolutionAntonio Orvieto, Simon Lacoste-Julien, Nicolas Loizou. [doi]
- Learning Concept Credible Models for Mitigating ShortcutsJiaxuan Wang, Sarah Jabbour, Maggie Makar, Michael W. Sjoding, Jenna Wiens. [doi]
- Exploring Figure-Ground Assignment Mechanism in Perceptual OrganizationWei Zhai, Yang Cao 0010, Jing Zhang 0037, Zheng-Jun Zha. [doi]
- Differentiable Analog Quantum Computing for Optimization and ControlJiaqi Leng, Yuxiang Peng, Yi-Ling Qiao, Ming C. Lin, Xiaodi Wu. [doi]
- Luckiness in Multiscale Online LearningWouter M. Koolen, Muriel Felipe Pérez-Ortiz. [doi]
- ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy ProtectionHuiping Zhuang, Zhenyu Weng, Hongxin Wei, Renchunzi Xie, Kar-Ann Toh, Zhiping Lin. [doi]
- Exploiting Semantic Relations for Glass Surface DetectionJiaying Lin, Yuen Hei Yeung, Rynson W. H. Lau. [doi]
- SAVi++: Towards End-to-End Object-Centric Learning from Real-World VideosGamaleldin F. Elsayed, Aravindh Mahendran, Sjoerd van Steenkiste, Klaus Greff, Michael C. Mozer, Thomas Kipf. [doi]
- AdaptFormer: Adapting Vision Transformers for Scalable Visual RecognitionShoufa Chen, Chongjian Ge, Zhan Tong, Jiangliu Wang, Yibing Song, Jue Wang, Ping Luo. [doi]
- Learning Infinite-Horizon Average-Reward Restless Multi-Action Bandits via Index AwarenessGuojun Xiong, Shufan Wang, Jian Li 0008. [doi]
- Coresets for Wasserstein Distributionally Robust Optimization ProblemsRuomin Huang, Jiawei Huang, Wenjie Liu, Hu Ding. [doi]
- Online Algorithms for the Santa Claus ProblemMax Springer, MohammadTaghi Hajiaghayi, Debmalya Panigrahi, Mohammad Reza Khani. [doi]
- Interventions, Where and How? Experimental Design for Causal Models at ScalePanagiotis Tigas, Yashas Annadani, Andrew Jesson, Bernhard Schölkopf, Yarin Gal, Stefan Bauer. [doi]
- Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal ReasoningWenhao Ding, Haohong Lin, Bo Li 0026, Ding Zhao. [doi]
- DISCO: Adversarial Defense with Local Implicit FunctionsChih-Hui Ho, Nuno Vasconcelos. [doi]
- Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep LearningVeit D. Wild, Robert Hu, Dino Sejdinovic. [doi]
- Social-Inverse: Inverse Decision-making of Social Contagion Management with Task MigrationsGuangmo Tong. [doi]
- Log-Polar Space Convolution LayersBing Su 0001, Ji-Rong Wen. [doi]
- Incrementality Bidding via Reinforcement Learning under Mixed and Delayed RewardsAshwinkumar Badanidiyuru Varadaraja, Zhe Feng 0004, Tianxi Li, Haifeng Xu. [doi]
- MetaTeacher: Coordinating Multi-Model Domain Adaptation for Medical Image ClassificationZhenbin Wang, Mao Ye 0001, Xiatian Zhu, Liuhan Peng, Liang Tian, Yingying Zhu. [doi]
- A Variant of Anderson Mixing with Minimal Memory SizeFuchao Wei, Chenglong Bao, Yang Liu, Guangwen Yang. [doi]
- Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit DifferentiationMichael Chang 0003, Tom Griffiths 0001, Sergey Levine. [doi]
- Contrastive Adapters for Foundation Model Group RobustnessMichael Zhang, Christopher Ré. [doi]
- You Never Stop Dancing: Non-freezing Dance Generation via Bank-constrained Manifold ProjectionJiangxin Sun, Chunyu Wang, Huang Hu, Hanjiang Lai, Zhi Jin, Jian-Fang Hu. [doi]
- Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained AnalysisWuyang Chen, Wei Huang, Xinyu Gong, Boris Hanin, Zhangyang Wang. [doi]
- Fair and Optimal Decision Trees: A Dynamic Programming ApproachJacobus G. M. van der Linden, Mathijs de Weerdt, Emir Demirovic. [doi]
- Ambiguous Images With Human Judgments for Robust Visual Event ClassificationKate Sanders 0002, Reno Kriz, Anqi Liu, Benjamin Van Durme. [doi]
- Exploring Example Influence in Continual LearningQing Sun, Fan Lyu, Fanhua Shang, Wei Feng 0005, Liang Wan. [doi]
- SPoVT: Semantic-Prototype Variational Transformer for Dense Point Cloud Semantic CompletionSheng-Yu Huang, Hao-Yu Hsu, Yu-Chiang Frank Wang. [doi]
- Non-identifiability and the Blessings of Misspecification in Models of Molecular FitnessEli N. Weinstein, Alan Nawzad Amin, Jonathan Frazer, Debora S. Marks. [doi]
- Factored DRO: Factored Distributionally Robust Policies for Contextual BanditsTong Mu, Yash Chandak, Tatsunori B. Hashimoto, Emma Brunskill. [doi]
- Robust Learning against Relational AdversariesYizhen Wang, Mohannad Alhanahnah, Xiaozhu Meng, Ke Wang, Mihai Christodorescu, Somesh Jha. [doi]
- A Unified Convergence Theorem for Stochastic Optimization MethodsXiao Li, Andre Milzarek. [doi]
- On the Sample Complexity of Stabilizing LTI Systems on a Single TrajectoryYang Hu, Adam Wierman, Guannan Qu. [doi]
- Operative dimensions in unconstrained connectivity of recurrent neural networksRenate Krause, Matthew Cook 0001, Sepp Kollmorgen, Valerio Mante, Giacomo Indiveri. [doi]
- Attracting and Dispersing: A Simple Approach for Source-free Domain AdaptationShiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer 0001. [doi]
- Simplified Graph Convolution with HeterophilySudhanshu Chanpuriya, Cameron Musco. [doi]
- Online Bipartite Matching with Advice: Tight Robustness-Consistency Tradeoffs for the Two-Stage ModelBilly Jin, Will Ma. [doi]
- Learning Invariant Graph Representations for Out-of-Distribution GeneralizationHaoyang Li, Ziwei Zhang, Xin Wang 0019, Wenwu Zhu 0001. [doi]
- Posterior and Computational Uncertainty in Gaussian ProcessesJonathan Wenger, Geoff Pleiss, Marvin Pförtner, Philipp Hennig, John P. Cunningham. [doi]
- Causal Identification under Markov equivalence: Calculus, Algorithm, and CompletenessAmin Jaber, Adèle H. Ribeiro, Jiji Zhang, Elias Bareinboim. [doi]
- Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex BanditsTongyang Li, Ruizhe Zhang 0001. [doi]
- Learning Neural Set Functions Under the Optimal Subset OracleZijing Ou, Tingyang Xu, Qinliang Su, Yingzhen Li, Peilin Zhao, Yatao Bian. [doi]
- Log-Concave and Multivariate Canonical Noise Distributions for Differential PrivacyJordan Awan, Jinshuo Dong. [doi]
- BayesPCN: A Continually Learnable Predictive Coding Associative MemoryJinsoo Yoo, Frank Wood. [doi]
- Fine-Grained Semantically Aligned Vision-Language Pre-TrainingJuncheng Li 0006, Xin He, Longhui Wei, Long Qian, Linchao Zhu, Lingxi Xie, Yueting Zhuang, Qi Tian 0001, Siliang Tang. [doi]
- Bridging the Gap Between Vision Transformers and Convolutional Neural Networks on Small DatasetsZhiying Lu, Hongtao Xie, Chuanbin Liu, Yongdong Zhang 0001. [doi]
- Extracting computational mechanisms from neural data using low-rank RNNsAdrian Valente, Jonathan W. Pillow, Srdjan Ostojic. [doi]
- When Does Group Invariant Learning Survive Spurious Correlations?Yimeng Chen, Ruibin Xiong, Zhi-Ming Ma, Yanyan Lan. [doi]
- Unsupervised Skill Discovery via Recurrent Skill TrainingZheyuan Jiang, Jingyue Gao, Jianyu Chen. [doi]
- Positively Weighted Kernel Quadrature via SubsamplingSatoshi Hayakawa, Harald Oberhauser, Terry J. Lyons. [doi]
- Adaptively Exploiting d-Separators with Causal BanditsBlair L. Bilodeau, Linbo Wang, Daniel M. Roy 0001. [doi]
- Learning Equivariant Segmentation with Instance-Unique QueryingWenguan Wang, James Liang, Dongfang Liu. [doi]
- Bidirectional Learning for Offline Infinite-width Model-based OptimizationCan Chen, Yingxue Zhang 0001, Jie Fu, Xue (Steve) Liu, Mark Coates. [doi]
- Iterative Scene Graph GenerationSiddhesh Khandelwal, Leonid Sigal. [doi]
- S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement LearningDaesol Cho, Dongseok Shim, H. Jin Kim. [doi]
- Association Graph Learning for Multi-Task Classification with Category ShiftsJiayi Shen, Zehao Xiao, Xiantong Zhen, Cees Snoek, Marcel Worring. [doi]
- Contrastive Graph Structure Learning via Information Bottleneck for RecommendationChunyu Wei, Jian Liang, Di Liu, Fei Wang. [doi]
- Distributed Online Convex Optimization with Compressed CommunicationZhipeng Tu, Xi Wang, Yiguang Hong, Lei Wang, Deming Yuan, Guodong Shi. [doi]
- CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image EncodersKevin Frans, Lisa B. Soros, Olaf Witkowski. [doi]
- Multitasking Models are Robust to Structural Failure: A Neural Model for Bilingual Cognitive ReserveGiannis Daras, Negin Raoof, Zoi Gkalitsiou, Alex Dimakis. [doi]
- RényiCL: Contrastive Representation Learning with Skew Rényi DivergenceKyungmin Lee, Jinwoo Shin. [doi]
- Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite BudgetJasmin Brandt, Viktor Bengs, Björn Haddenhorst, Eyke Hüllermeier. [doi]
- IKEA-Manual: Seeing Shape Assembly Step by StepRuocheng Wang, Yunzhi Zhang, Jiayuan Mao, Ran Zhang, Chin-Yi Cheng, Jiajun Wu. [doi]
- Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication NetworksShuoguang Yang, Xuezhou Zhang, Mengdi Wang. [doi]
- Learning Two-Player Markov Games: Neural Function Approximation and Correlated EquilibriumChris Junchi Li, Dongruo Zhou, Quanquan Gu, Michael I. Jordan. [doi]
- Few-Shot Continual Active Learning by a RobotAli Ayub, Carter Fendley. [doi]
- Star Temporal Classification: Sequence Modeling with Partially Labeled DataVineel Pratap, Awni Hannun, Gabriel Synnaeve, Ronan Collobert. [doi]
- Semi-supervised Active Linear RegressionNived Rajaraman, Fnu Devvrit, Pranjal Awasthi. [doi]
- Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision LossesSanket Shah, Kai Wang 0040, Bryan Wilder, Andrew Perrault, Milind Tambe. [doi]
- Generalization Bounds for Estimating Causal Effects of Continuous TreatmentsXin Wang, Shengfei Lyu, Xingyu Wu, Tianhao Wu, Huanhuan Chen. [doi]
- Trustworthy Monte CarloJuha Harviainen, Mikko Koivisto, Petteri Kaski. [doi]
- Accelerated Primal-Dual Gradient Method for Smooth and Convex-Concave Saddle-Point Problems with Bilinear CouplingDmitry Kovalev, Alexander V. Gasnikov, Peter Richtárik. [doi]
- LECO: Learnable Episodic Count for Task-Specific Intrinsic RewardDaeJin Jo, Sungwoong Kim, Daniel Wontae Nam, Taehwan Kwon, Seungeun Rho, Jongmin Kim 0006, Donghoon Lee. [doi]
- Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution ShiftChristina Baek, Yiding Jiang, Aditi Raghunathan, J. Zico Kolter. [doi]
- A Fast Post-Training Pruning Framework for TransformersWoosuk Kwon, Sehoon Kim, Michael W. Mahoney, Joseph Hassoun, Kurt Keutzer, Amir Gholami. [doi]
- Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMFJayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Florence d'Alché-Buc, Gaël Richard. [doi]
- Fair Rank AggregationDiptarka Chakraborty, Syamantak Das, Arindam Khan 0001, Aditya Subramanian. [doi]
- Implicit Neural Representations with Levels-of-ExpertsZekun Hao, Arun Mallya, Serge J. Belongie, Ming-Yu Liu 0001. [doi]
- Learning Optical Flow from Continuous Spike StreamsRui Zhao 0010, Ruiqin Xiong, Jing Zhao 0011, Zhaofei Yu, Xiaopeng Fan, Tiejun Huang 0001. [doi]
- LogiGAN: Learning Logical Reasoning via Adversarial Pre-trainingXinyu Pi, Wanjun Zhong, Yan Gao 0002, Nan Duan, Jian-Guang Lou. [doi]
- Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic ModelsZijian Zhang, Zhou Zhao, Zhijie Lin. [doi]
- Learning Manifold Dimensions with Conditional Variational AutoencodersYijia Zheng, Tong He, Yixuan Qiu, David P. Wipf. [doi]
- A gradient estimator via L1-randomization for online zero-order optimization with two point feedbackArya Akhavan, Evgenii Chzhen, Massimiliano Pontil, Alexandre B. Tsybakov. [doi]
- Mismatched No More: Joint Model-Policy Optimization for Model-Based RLBenjamin Eysenbach, Alexander Khazatsky, Sergey Levine, Ruslan Salakhutdinov. [doi]
- Logical Credal NetworksRadu Marinescu 0002, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel, Pravinda Sahu. [doi]
- Constraining Gaussian Processes to Systems of Linear Ordinary Differential EquationsAndreas Besginow, Markus Lange-Hegermann. [doi]
- Promising or Elusive? Unsupervised Object Segmentation from Real-world Single ImagesYafei Yang, Bo Yang. [doi]
- Evaluating Out-of-Distribution Performance on Document Image ClassifiersStefan Larson, Gordon Lim, Yutong Ai, David Kuang, Kevin Leach. [doi]
- HUMUS-Net: Hybrid Unrolled Multi-scale Network Architecture for Accelerated MRI ReconstructionZalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi. [doi]
- Monocular Dynamic View Synthesis: A Reality CheckHang Gao, Ruilong Li, Shubham Tulsiani, Bryan Russell, Angjoo Kanazawa. [doi]
- Parameter-Efficient Masking NetworksYue Bai, Huan Wang 0014, Xu Ma 0005, Yitian Zhang, Zhiqiang Tao, Yun Fu 0001. [doi]
- Single Model Uncertainty Estimation via Stochastic Data CenteringJayaraman J. Thiagarajan, Rushil Anirudh, Vivek Sivaraman Narayanaswamy, Timo Bremer. [doi]
- Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution ProtectionFan Wang, Adams Wai-Kin Kong. [doi]
- Drawing out of Distribution with Neuro-Symbolic Generative ModelsYichao Liang, Josh Tenenbaum 0001, Tuan Anh Le 0001, N. Siddharth 0001. [doi]
- Deep Fourier Up-SamplingMan Zhou, Hu Yu, Jie Huang, Feng Zhao, Jinwei Gu, Chen Change Loy, Deyu Meng, Chongyi Li. [doi]
- Quasi-Newton Methods for Saddle Point ProblemsChengchang Liu, Luo Luo. [doi]
- MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise ModelsErdun Gao, Ignavier Ng, Mingming Gong, Li Shen, Wei Huang, Tongliang Liu, Kun Zhang, Howard D. Bondell. [doi]
- Invariant and Transportable Representations for Anti-Causal Domain ShiftsYibo Jiang, Victor Veitch. [doi]
- Structuring Representations Using Group InvariantsMehran Shakerinava, Arnab Kumar Mondal, Siamak Ravanbakhsh. [doi]
- A contrastive rule for meta-learningNicolas Zucchet, Simon Schug, Johannes von Oswald, Dominic Zhao, João Sacramento. [doi]
- Theseus: A Library for Differentiable Nonlinear OptimizationLuis-Pineda, Taosha Fan, Maurizio Monge, Shobha Venkataraman, Paloma Sodhi, Ricky T. Q. Chen, Joseph Ortiz, Daniel DeTone, Austin S. Wang, Stuart Anderson, Jing Dong 0002, Brandon Amos, Mustafa Mukadam. [doi]
- Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine TranslationChenze Shao, Yang Feng 0004. [doi]
- Hyper-Representations as Generative Models: Sampling Unseen Neural Network WeightsKonstantin Schürholt, Boris Knyazev, Xavier Giró i Nieto, Damian Borth. [doi]
- Learning Probabilistic Models from Generator Latent Spaces with Hat EBMMitch Hill, Erik Nijkamp, Jonathan Mitchell, Bo Pang, Song Chun Zhu. [doi]
- Giga-scale Kernel Matrix-Vector Multiplication on GPURobert Hu, Siu Lun Chau, Dino Sejdinovic, Joan Glaunès. [doi]
- Outlier Suppression: Pushing the Limit of Low-bit Transformer Language ModelsXiuying Wei, Yunchen Zhang, Xiangguo Zhang, Ruihao Gong, Shanghang Zhang, Qi Zhang, Fengwei Yu, Xianglong Liu 0001. [doi]
- The Neural Testbed: Evaluating Joint PredictionsIan Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Dieterich Lawson, Botao Hao, Brendan O'Donoghue, Benjamin Van Roy. [doi]
- A Unified Evaluation of Textual Backdoor Learning: Frameworks and BenchmarksGanqu Cui, Lifan Yuan, Bingxiang He, Yangyi Chen, Zhiyuan Liu, Maosong Sun. [doi]
- Making Sense of Dependence: Efficient Black-box Explanations Using Dependence MeasurePaul Novello, Thomas Fel, David Vigouroux. [doi]
- Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputsEtienne Boursier, Loucas Pillaud-Vivien, Nicolas Flammarion. [doi]
- Towards Understanding the Condensation of Neural Networks at Initial TrainingHanxu Zhou, Qixuan Zhou, Tao Luo, Yaoyu Zhang, Zhi-Qin J. Xu. [doi]
- Scale-invariant Learning by Physics InversionPhilipp Holl, Vladlen Koltun, Nils Thuerey. [doi]
- Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-LoopWeixia Zhang, Dingquan Li, Xiongkuo Min, Guangtao Zhai, Guodong Guo, Xiaokang Yang, Kede Ma. [doi]
- Robust Anytime Learning of Markov Decision ProcessesMarnix Suilen, Thiago D. Simão, David Parker 0001, Nils Jansen 0001. [doi]
- Single-Stage Visual Relationship Learning using Conditional QueriesAlakh Desai, Tz-Ying Wu, Subarna Tripathi, Nuno Vasconcelos. [doi]
- MinVIS: A Minimal Video Instance Segmentation Framework without Video-based TrainingDe-An Huang, Zhiding Yu, Anima Anandkumar. [doi]
- A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function PerspectiveChanwoo Park, Sangdoo Yun, Sanghyuk Chun. [doi]
- Learning Representations via a Robust Behavioral Metric for Deep Reinforcement LearningJianda Chen, Sinno Jialin Pan. [doi]
- An In-depth Study of Stochastic BackpropagationJun Fang, Mingze Xu, Hao Chen 0024, Bing Shuai, Zhuowen Tu, Joseph Tighe. [doi]
- Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement LearningRiashat Islam, Hongyu Zang, Anirudh Goyal, Alex M. Lamb, Kenji Kawaguchi, Xin Li, Romain Laroche, Yoshua Bengio, Remi Tachet des Combes. [doi]
- Ask4Help: Learning to Leverage an Expert for Embodied TasksKunal Pratap Singh, Luca Weihs, Alvaro Herrasti, Jonghyun Choi, Aniruddha Kembhavi, Roozbeh Mottaghi. [doi]
- Towards Optimal Communication Complexity in Distributed Non-Convex OptimizationKumar Kshitij Patel, Lingxiao Wang, Blake E. Woodworth, Brian Bullins, Nati Srebro. [doi]
- Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse ObservationsIvan Marisca, Andrea Cini, Cesare Alippi. [doi]
- Global Optimal K-Medoids Clustering of One Million SamplesJiayang Ren, Kaixun Hua, Yankai Cao. [doi]
- Uplifting BanditsYu-Guan Hsieh, Shiva Prasad Kasiviswanathan, Branislav Kveton. [doi]
- Unsupervised Learning under Latent Label ShiftManley Roberts, Pranav Mani, Saurabh Garg, Zachary C. Lipton. [doi]
- Beyond black box densities: Parameter learning for the deviated componentsDat Do, Nhat Ho, XuanLong Nguyen. [doi]
- Unsupervised Learning of Equivariant Structure from SequencesTakeru Miyato, Masanori Koyama, Kenji Fukumizu. [doi]
- Parallel Tempering With a Variational ReferenceNikola Surjanovic, Saifuddin Syed, Alexandre Bouchard-Côté, Trevor Campbell. [doi]
- Dynamic Tensor Product RegressionAravind Reddy, Zhao Song 0002, Lichen Zhang 0003. [doi]
- MABSplit: Faster Forest Training Using Multi-Armed BanditsMo Tiwari, Ryan Kang, Jaeyong Lee, Chris Piech, Ilan Shomorony, Sebastian Thrun, Martin J. Zhang. [doi]
- Imbalance Trouble: Revisiting Neural-Collapse GeometryChristos Thrampoulidis, Ganesh Ramachandra Kini, Vala Vakilian, Tina Behnia. [doi]
- Subgame Solving in Adversarial Team GamesBrian Hu Zhang, Luca Carminati, Federico Cacciamani, Gabriele Farina, Pierriccardo Olivieri, Nicola Gatti 0001, Tuomas Sandholm. [doi]
- Blackbox Attacks via Surrogate Ensemble SearchZikui Cai, Chengyu Song, Srikanth Krishnamurthy, Amit Roy-Chowdhury, Salman Asif. [doi]
- Effects of Data Geometry in Early Deep LearningSaket Tiwari, George Konidaris 0001. [doi]
- Visual Clues: Bridging Vision and Language Foundations for Image Paragraph CaptioningYujia Xie, Luowei Zhou, Xiyang Dai, Lu Yuan, Nguyen Bach, Ce Liu 0001, Michael Zeng 0001. [doi]
- Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object TokensElad Ben-Avraham, Roei Herzig, Karttikeya Mangalam, Amir Bar, Anna Rohrbach, Leonid Karlinsky, Trevor Darrell, Amir Globerson. [doi]
- Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active LearningDongmin Park, Yooju Shin, Jihwan Bang, YoungJun Lee, Hwanjun Song, Jae-Gil Lee 0001. [doi]
- Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean OperatorsScott C. Lowe, Robert Earle, Jason d'Eon, Thomas Trappenberg, Sageev Oore. [doi]
- Personalized Federated Learning towards Communication Efficiency, Robustness and FairnessShiyun Lin, Yuze Han, Xiang Li, Zhihua Zhang. [doi]
- Annihilation of Spurious Minima in Two-Layer ReLU NetworksYossi Arjevani, Michael Field. [doi]
- Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text GenerationJin Xu, Xiaojiang Liu, Jianhao Yan, Deng Cai 0002, Huayang Li, Jian Li. [doi]
- Probing Classifiers are Unreliable for Concept Removal and DetectionAbhinav Kumar, Chenhao Tan, Amit Sharma 0007. [doi]
- Infinite Recommendation Networks: A Data-Centric ApproachNoveen Sachdeva, Mehak Preet Dhaliwal, Carole-Jean Wu, Julian J. McAuley. [doi]
- Simulation-guided Beam Search for Neural Combinatorial OptimizationJinho Choo, Yeong-Dae Kwon, Jihoon Kim, Jeongwoo Jae, André Hottung, Kevin Tierney, Youngjune Gwon. [doi]
- Self-Supervised Learning with an Information Maximization CriterionSerdar Ozsoy, Shadi Hamdan, Sercan Ö. Arik, Deniz Yuret, Alper T. Erdogan. [doi]
- Coded Residual Transform for Generalizable Deep Metric LearningShichao Kan, Yixiong Liang, Min Li, Yigang Cen, Jianxin Wang 0001, Zhihai He. [doi]
- A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence SummarizationPuyuan Liu, Xiang Zhang, Lili Mou. [doi]
- Deep Active Learning by Leveraging Training DynamicsHaonan Wang, Wei Huang, Ziwei Wu, Hanghang Tong, Andrew Margenot, Jingrui He. [doi]
- Non-monotonic Resource Utilization in the Bandits with Knapsacks ProblemRaunak Kumar, Robert Kleinberg. [doi]
- Automatic differentiation of nonsmooth iterative algorithmsJérôme Bolte, Edouard Pauwels, Samuel Vaiter. [doi]
- 360-MLC: Multi-view Layout Consistency for Self-training and Hyper-parameter TuningBolivar Solarte, Chin-Hsuan Wu, Yueh-Cheng Liu, Yi-Hsuan Tsai, Min Sun. [doi]
- Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment DesignAndrew Wagenmaker, Kevin G. Jamieson. [doi]
- Enhancing Safe Exploration Using Safety State AugmentationAivar Sootla, Alexander I. Cowen-Rivers, Jun Wang, Haitham Bou-Ammar. [doi]
- Task-level Differentially Private Meta LearningXinyu Zhou, Raef Bassily. [doi]
- Effective Adaptation in Multi-Task Co-Training for Unified Autonomous DrivingXiwen Liang, Yangxin Wu, Jianhua Han, Hang Xu, Chunjing Xu, Xiaodan Liang. [doi]
- On Margins and Generalisation for Voting ClassifiersFelix Biggs, Valentina Zantedeschi, Benjamin Guedj. [doi]
- Modeling Human Exploration Through Resource-Rational Reinforcement LearningMarcel Binz, Eric Schulz. [doi]
- Autoformalization with Large Language ModelsYuhuai Wu, Albert Qiaochu Jiang, Wenda Li, Markus N. Rabe, Charles Staats, Mateja Jamnik, Christian Szegedy. [doi]
- Planning for Sample Efficient Imitation LearningZhao-Heng Yin, Weirui Ye, Qifeng Chen, Yang Gao. [doi]
- Coarse-to-Fine Vision-Language Pre-training with Fusion in the BackboneZi-Yi Dou, Aishwarya Kamath, Zhe Gan, Pengchuan Zhang, Jianfeng Wang, Linjie Li, Zicheng Liu 0001, Ce Liu 0001, Yann LeCun, Nanyun Peng, Jianfeng Gao, Lijuan Wang. [doi]
- Debugging and Explaining Metric Learning Approaches: An Influence Function Based PerspectiveRuofan Liu, Yun Lin 0001, XiangLin Yang, Jin Song Dong. [doi]
- Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive StreamsSergey Denisov, H. Brendan McMahan, John Rush, Adam D. Smith, Abhradeep Guha Thakurta. [doi]
- Statistical Learning and Inverse Problems: A Stochastic Gradient ApproachYuri R. Fonseca, Yuri F. Saporito. [doi]
- Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic EnvironmentsYining Chen, Elan Rosenfeld, Mark Sellke, Tengyu Ma 0001, Andrej Risteski. [doi]
- Generalised Implicit Neural RepresentationsDaniele Grattarola, Pierre Vandergheynst. [doi]
- Uncertainty-Aware Hierarchical Refinement for Incremental Implicitly-Refined ClassificationJian Yang, Kai Zhu 0004, Kecheng Zheng, Yang Cao 0010. [doi]
- Dynamic Learning in Large Matching MarketsAnand Kalvit, Assaf Zeevi. [doi]
- Laplacian Autoencoders for Learning Stochastic RepresentationsMarco Miani, Frederik Warburg, Pablo Moreno-Muñoz, Nicki Skafte Detlefsen, Søren Hauberg. [doi]
- On the Tradeoff Between Robustness and FairnessXinsong Ma, Zekai Wang, Weiwei Liu 0003. [doi]
- Power and limitations of single-qubit native quantum neural networksZhan Yu, Hongshun Yao, Mujin Li, Xin Wang. [doi]
- CyCLIP: Cyclic Contrastive Language-Image PretrainingShashank Goel, Hritik Bansal, Sumit Bhatia, Ryan A. Rossi, Vishwa Vinay, Aditya Grover. [doi]
- DIMES: A Differentiable Meta Solver for Combinatorial Optimization ProblemsRuizhong Qiu, Zhiqing Sun, Yiming Yang. [doi]
- PAC-Bayes Compression Bounds So Tight That They Can Explain GeneralizationSanae Lotfi, Marc Finzi, Sanyam Kapoor, Andres Potapczynski, Micah Goldblum, Andrew Gordon Wilson. [doi]
- Differentially Private Covariance RevisitedWei Dong 0007, Yuting Liang, Ke Yi 0001. [doi]
- A Unified Model for Multi-class Anomaly DetectionZhiyuan You, Lei Cui, Yujun Shen, Kai Yang, Xin Lu, Yu Zheng 0012, Xinyi Le. [doi]
- Adversarial training for high-stakes reliabilityDaniel M. Ziegler, Seraphina Nix, Lawrence Chan, Tim Bauman, Peter Schmidt-Nielsen, Tao Lin, Adam Scherlis, Noa Nabeshima, Ben Weinstein-Raun, Daniel de Haas, Buck Shlegeris, Nate Thomas. [doi]
- SoundSpaces 2.0: A Simulation Platform for Visual-Acoustic LearningChangan Chen, Carl Schissler, Sanchit Garg, Philip Kobernik, Alexander Clegg, Paul Calamia, Dhruv Batra, Philip W. Robinson, Kristen Grauman. [doi]
- Improved techniques for deterministic l2 robustnessSahil Singla 0002, Soheil Feizi. [doi]
- Smoothed Online Convex Optimization Based on Discounted-Normal-PredictorLijun Zhang, Wei Jiang, Jinfeng Yi, Tianbao Yang. [doi]
- Amortized Projection Optimization for Sliced Wasserstein Generative ModelsKhai Nguyen, Nhat Ho. [doi]
- AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 LabelsNicholas Roberts, Xintong Li, Tzu-Heng Huang, Dyah Adila, Spencer Schoenberg, Cheng-Yu Liu 0002, Lauren Pick, Haotian Ma, Aws Albarghouthi, Frederic Sala. [doi]
- LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement LearningXi Chen, Ali Ghadirzadeh, Tianhe Yu, Jianhao Wang, Alex Yuan Gao, Wenzhe Li, Liang Bin, Chelsea Finn, Chongjie Zhang. [doi]
- On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RLJinglin Chen, Aditya Modi 0002, Akshay Krishnamurthy, Nan Jiang 0008, Alekh Agarwal. [doi]
- Bayesian Clustering of Neural Spiking Activity Using a Mixture of Dynamic Poisson Factor AnalyzersGanchao Wei, Ian H. Stevenson, Xiaojing Wang. [doi]
- Learning to Find Proofs and Theorems by Learning to Refine Search Strategies: The Case of Loop Invariant SynthesisJonathan Laurent, André Platzer. [doi]
- NeuForm: Adaptive Overfitting for Neural Shape EditingConnor Z. Lin, Niloy J. Mitra, Gordon Wetzstein, Leonidas J. Guibas, Paul Guerrero. [doi]
- RKHS-SHAP: Shapley Values for Kernel MethodsSiu Lun Chau, Robert Hu, Javier González, Dino Sejdinovic. [doi]
- An Information-Theoretic Framework for Deep LearningHong Jun Jeon, Benjamin Van Roy. [doi]
- Domain Generalization by Learning and Removing Domain-specific FeaturesYu Ding, Lei Wang, Bin Liang 0003, Shuming Liang, Yang Wang 0002, Fang Chen 0001. [doi]
- SAViT: Structure-Aware Vision Transformer Pruning via Collaborative OptimizationChuanyang Zheng, Zheyang Li, Kai Zhang, Zhi Yang, Wenming Tan, Jun Xiao, Ye Ren, Shiliang Pu. [doi]
- Test Time Adaptation via Conjugate Pseudo-labelsSachin Goyal, Mingjie Sun, Aditi Raghunathan, J. Zico Kolter. [doi]
- Lipschitz Bandits with Batched FeedbackYasong Feng, Zengfeng Huang, Tianyu Wang. [doi]
- Better Best of Both Worlds Bounds for Bandits with Switching CostsIdan Amir, Guy Azov, Tomer Koren, Roi Livni. [doi]
- NeoRL: A Near Real-World Benchmark for Offline Reinforcement LearningRongjun Qin, Xingyuan Zhang, Songyi Gao, Xiong-Hui Chen, Zewen Li, Weinan Zhang 0001, Yang Yu 0001. [doi]
- A Multilabel Classification Framework for Approximate Nearest Neighbor SearchVille Hyvönen, Elias Jääsaari, Teemu Roos. [doi]
- Asymptotics of smoothed Wasserstein distances in the small noise regimeYunzi Ding, Jonathan Niles-Weed. [doi]
- SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionMinhao Liu, Ailing Zeng, Muxi Chen, Zhijian Xu, Qiuxia Lai, Lingna Ma, Qiang Xu 0001. [doi]
- Learning on the Edge: Online Learning with Stochastic Feedback GraphsEmmanuel Esposito, Federico Fusco, Dirk van der Hoeven, Nicolò Cesa-Bianchi. [doi]
- Decision Trees with Short Explainable RulesVictor Feitosa Souza, Ferdinando Cicalese, Eduardo Sany Laber, Marco Molinaro 0001. [doi]
- Active Ranking without Strong Stochastic TransitivityHao Lou, Tao Jin, Yue Wu, Pan Xu 0002, Quanquan Gu, Farzad Farnoud. [doi]
- Poisson Flow Generative ModelsYilun Xu, Ziming Liu, Max Tegmark, Tommi S. Jaakkola. [doi]
- Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning via Clairvoyant Multiplicative Weights UpdateGeorgios Piliouras, Ryann Sim, Stratis Skoulakis. [doi]
- Few-shot Image Generation via Adaptation-Aware Kernel ModulationYunqing Zhao, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung. [doi]
- On the relationship between variational inference and auto-associative memoryLouis Annabi, Alexandre Pitti, Mathias Quoy. [doi]
- A Causal Analysis of HarmSander Beckers, Hana Chockler, Joseph Y. Halpern. [doi]
- OpenXAI: Towards a Transparent Evaluation of Model ExplanationsChirag Agarwal, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, Himabindu Lakkaraju. [doi]
- Self-Supervised Pretraining for Large-Scale Point CloudsZaiwei Zhang, Min Bai, Li Erran Li. [doi]
- Provable Defense against Backdoor Policies in Reinforcement LearningShubham Kumar Bharti, Xuezhou Zhang, Adish Singla, Jerry Zhu. [doi]
- Bootstrapped Transformer for Offline Reinforcement LearningKerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang 0001, Dongsheng Li 0002. [doi]
- HUMANISE: Language-conditioned Human Motion Generation in 3D ScenesZan Wang, Yixin Chen, Tengyu Liu, Yixin Zhu, Wei Liang, Siyuan Huang. [doi]
- Evaluated CMI Bounds for Meta Learning: Tightness and ExpressivenessFredrik Hellström, Giuseppe Durisi. [doi]
- Mind Reader: Reconstructing complex images from brain activitiesSikun Lin, Thomas Sprague, Ambuj K. Singh. [doi]
- Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement LearningRuida Zhou, Tao Liu 0035, Dileep Kalathil, P. R. Kumar 0001, Chao Tian 0002. [doi]
- Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean EstimationKristian Georgiev, Samuel B. Hopkins. [doi]
- Scalable Neural Video Representations with Learnable Positional FeaturesSubin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin. [doi]
- Deep Generalized Schrödinger BridgeGuan-Horng Liu, Tianrong Chen, Oswin So, Evangelos A. Theodorou. [doi]
- Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNsSeiji Maekawa, Koki Noda, Yuya Sasaki 0001, Makoto Onizuka. [doi]
- MEMO: Test Time Robustness via Adaptation and AugmentationMarvin Zhang, Sergey Levine, Chelsea Finn. [doi]
- EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health RecordsGyubok Lee, Hyeonji Hwang, Seongsu Bae, Yeonsu Kwon, Woncheol Shin, Seongjun Yang, Minjoon Seo, Jong-Yeup Kim, Edward Choi. [doi]
- Differentially Private Linear Sketches: Efficient Implementations and ApplicationsFuheng Zhao, Dan Qiao, Rachel Redberg, Divyakant Agrawal, Amr El Abbadi, Yu-Xiang Wang. [doi]
- Learning Deep Input-Output Stable DynamicsRyosuke Kojima, Yuji Okamoto. [doi]
- Okapi: Generalising Better by Making Statistical Matches MatchMyles Bartlett, Sara Romiti, Viktoriia Sharmanska, Novi Quadrianto. [doi]
- Green Hierarchical Vision Transformer for Masked Image ModelingLang Huang 0001, Shan You, Mingkai Zheng, Fei Wang 0032, Chen Qian 0006, Toshihiko Yamasaki. [doi]
- Task-Agnostic Graph ExplanationsYaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward W. Huang, Nikhil Rao 0001, Karthik Subbian, Shuiwang Ji. [doi]
- Unsupervised Learning for Combinatorial Optimization with Principled Objective RelaxationHaoyu Wang 0004, Nan Wu, Hang Yang, Cong Hao, Pan Li 0005. [doi]
- Asymmetric Temperature Scaling Makes Larger Networks Teach Well AgainXin-Chun Li, Wen-Shu Fan, Shaoming Song, Yinchuan Li, Bingshuai Li, Shao Yunfeng, De-Chuan Zhan. [doi]
- On the generalization of learning algorithms that do not convergeNisha Chandramoorthy, Andreas Loukas, Khashayar Gatmiry, Stefanie Jegelka. [doi]
- Knowledge Distillation from A Stronger TeacherTao Huang 0020, Shan You, Fei Wang 0032, Chen Qian 0006, Chang Xu 0002. [doi]
- Distribution-Informed Neural Networks for Domain Adaptation RegressionJun Wu 0019, Jingrui He, Sheng Wang, Kaiyu Guan, Elizabeth A. Ainsworth. [doi]
- Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and PruningElias Frantar, Dan Alistarh. [doi]
- Online Frank-Wolfe with Arbitrary DelaysYuanyu Wan, Wei-Wei Tu, Lijun Zhang 0005. [doi]
- TaiSu: A 166M Large-scale High-Quality Dataset for Chinese Vision-Language Pre-trainingYulong Liu, Guibo Zhu, Bin Zhu, Qi Song, Guojing Ge, Haoran Chen, Guanhui Qiao, Ru Peng, Lingxiang Wu, Jinqiao Wang. [doi]
- Exploration via Elliptical Episodic BonusesMikael Henaff, Roberta Raileanu, Minqi Jiang, Tim Rocktäschel. [doi]
- A Benchmark for Compositional Visual ReasoningAimen Zerroug, Mohit Vaishnav, Julien Colin, Sebastian Musslick, Thomas Serre. [doi]
- Efficient identification of informative features in simulation-based inferenceJonas Beck, Michael Deistler, Yves Bernaerts, Jakob H. Macke, Philipp Berens. [doi]
- Near-Optimal Private and Scalable $k$-ClusteringVincent Cohen-Addad, Alessandro Epasto, Vahab Mirrokni, Shyam Narayanan, Peilin Zhong. [doi]
- Fully Sparse 3D Object DetectionLue Fan, Feng Wang, Naiyan Wang, Zhao-Xiang Zhang. [doi]
- VER: Scaling On-Policy RL Leads to the Emergence of Navigation in Embodied RearrangementErik Wijmans, Irfan Essa, Dhruv Batra. [doi]
- Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding MethodsRandall Balestriero, Yann LeCun. [doi]
- On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative ModelsKamil Deja, Anna Kuzina, Tomasz Trzcinski, Jakub M. Tomczak. [doi]
- Latency-aware Spatial-wise Dynamic NetworksYizeng Han, Zhihang Yuan, Yifan Pu, Chenhao Xue, Shiji Song, Guangyu Sun, Gao Huang. [doi]
- Learning (Very) Simple Generative Models Is HardSitan Chen, Jerry Li 0001, Yuanzhi Li. [doi]
- A framework for bilevel optimization that enables stochastic and global variance reduction algorithmsMathieu Dagréou, Pierre Ablin, Samuel Vaiter, Thomas Moreau 0001. [doi]
- MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of AbstractionJorge Quesada, Lakshmi Sathidevi, Ran Liu, Nauman Ahad, Joy M. Jackson, Mehdi Azabou, Jingyun Xiao, Christopher Liding, Matthew Jin, Carolina Urzay, William Gray Roncal, Erik Johnson, Eva L. Dyer. [doi]
- Universal Rates for Interactive LearningSteve Hanneke, Amin Karbasi, Shay Moran, Grigoris Velegkas. [doi]
- Random Sharpness-Aware MinimizationYong Liu, Siqi Mai, Minhao Cheng, Xiangning Chen, Cho-Jui Hsieh, Yang You. [doi]
- Theoretically Better and Numerically Faster Distributed Optimization with Smoothness-Aware Quantization TechniquesBokun Wang, Mher Safaryan, Peter Richtárik. [doi]
- Convolutional Neural Networks on Graphs with Chebyshev Approximation, RevisitedMingguo He, Zhewei Wei, Ji-Rong Wen. [doi]
- Benchmarking Heterogeneous Treatment Effect Models through the Lens of InterpretabilityJonathan Crabbé, Alicia Curth, Ioana Bica, Mihaela van der Schaar. [doi]
- VAEL: Bridging Variational Autoencoders and Probabilistic Logic ProgrammingEleonora Misino, Giuseppe Marra, Emanuele Sansone. [doi]
- AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes SolutionsFlorent Bonnet, Jocelyn Ahmed Mazari, Paola Cinnella, Patrick Gallinari. [doi]
- Robustness Analysis of Video-Language Models Against Visual and Language PerturbationsMadeline Schiappa, Shruti Vyas, Hamid Palangi, Yogesh S. Rawat, Vibhav Vineet. [doi]
- ViTPose: Simple Vision Transformer Baselines for Human Pose EstimationYufei Xu, Jing Zhang, Qiming Zhang, Dacheng Tao. [doi]
- Sample Constrained Treatment Effect EstimationRaghavendra Addanki, David Arbour, Tung Mai, Cameron Musco, Anup Rao 0002. [doi]
- FreGAN: Exploiting Frequency Components for Training GANs under Limited DataMengping Yang, Zhe Wang, Ziqiu Chi, Yanbing Zhang. [doi]
- Learning to Discover and Detect ObjectsVladimir Fomenko, Ismail Elezi, Deva Ramanan, Laura Leal-Taixé, Aljosa Osep. [doi]
- Towards Disentangling Information Paths with Coded ResNeXtApostolos Avranas, Marios Kountouris. [doi]
- Deep Generative Model for Periodic GraphsShiyu Wang, Xiaojie Guo 0002, Liang Zhao 0002. [doi]
- Washing The Unwashable : On The (Im)possibility of Fairwashing DetectionAli Shahin Shamsabadi, Mohammad Yaghini, Natalie Dullerud, Sierra Wyllie, Ulrich Aïvodji, Aisha Alaagib, Sébastien Gambs, Nicolas Papernot. [doi]
- Optimal Comparator Adaptive Online Learning with Switching CostZhiyu Zhang 0003, Ashok Cutkosky, Yannis Paschalidis. [doi]
- Learn to Match with No Regret: Reinforcement Learning in Markov Matching MarketsYifei Min, Tianhao Wang 0002, Ruitu Xu, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang. [doi]
- The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional StatisticsAfonso S. Bandeira, Ahmed El Alaoui, Samuel B. Hopkins, Tselil Schramm, Alexander S. Wein, Ilias Zadik. [doi]
- InsPro: Propagating Instance Query and Proposal for Online Video Instance SegmentationFei He, Haoyang Zhang, Naiyu Gao, Jian Jia, Yanhu Shan, Xin Zhao 0012, Kaiqi Huang. [doi]
- BR-SNIS: Bias Reduced Self-Normalized Importance SamplingGabriel Cardoso 0001, Sergey Samsonov, Achille Thin, Eric Moulines, Jimmy Olsson. [doi]
- Efficient Architecture Search for Diverse TasksJunhong Shen, Mikhail Khodak, Ameet Talwalkar. [doi]
- One Model to Edit Them All: Free-Form Text-Driven Image Manipulation with Semantic ModulationsYiming Zhu, Hongyu Liu, Yibing Song, Ziyang Yuan, Xintong Han, Chun Yuan, Qifeng Chen, Jue Wang. [doi]
- Prune and distill: similar reformatting of image information along rat visual cortex and deep neural networksPaolo Muratore, Sina Tafazoli, Eugenio Piasini, Alessandro Laio, Davide Zoccolan. [doi]
- Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement LearningShenao Zhang. [doi]
- ZooD: Exploiting Model Zoo for Out-of-Distribution GeneralizationQishi Dong, Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li. [doi]
- Unsupervised Multi-View Object Segmentation Using Radiance Field PropagationXinhang Liu, Jiaben Chen, Huai-yu, Yu-Wing Tai, Chi-Keung Tang. [doi]
- Learn what matters: cross-domain imitation learning with task-relevant embeddingsTim Franzmeyer, Philip H. S. Torr, João F. Henriques. [doi]
- Incentivizing Combinatorial Bandit ExplorationXinyan Hu, Dung Daniel T. Ngo, Aleksandrs Slivkins, Zhiwei Steven Wu. [doi]
- The Phenomenon of Policy ChurnTom Schaul, André Barreto 0001, John Quan, Georg Ostrovski. [doi]
- EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object RelationsAhmad Darkhalil, Dandan Shan, Bin Zhu, Jian Ma, Amlan Kar, Richard E. L. Higgins, Sanja Fidler, David Fouhey, Dima Damen. [doi]
- Fast Distance Oracles for Any Symmetric NormYichuan Deng 0002, Zhao Song 0002, Omri Weinstein, Ruizhe Zhang 0001. [doi]
- Pre-Trained Language Models for Interactive Decision-MakingShuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen 0046, De-An Huang, Ekin Akyürek, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba 0001, Yuke Zhu. [doi]
- Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix CompletionJialun Zhang, Hong Ming Chiu, Richard Y. Zhang. [doi]
- Feature Learning in $L_2$-regularized DNNs: Attraction/Repulsion and SparsityArthur Jacot, Eugene Golikov, Clément Hongler, Franck Gabriel. [doi]
- Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language ModelsMaribeth Rauh, John Mellor, Jonathan Uesato, Po-Sen Huang, Johannes Welbl, Laura Weidinger, Sumanth Dathathri, Amelia Glaese, Geoffrey Irving, Iason Gabriel, William Isaac 0001, Lisa Anne Hendricks. [doi]
- Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient DescentSoon Hoe Lim, Yijun Wan, Umut Simsekli. [doi]
- Transition to Linearity of General Neural Networks with Directed Acyclic Graph ArchitectureLibin Zhu, Chaoyue Liu 0001, Misha Belkin. [doi]
- MGNNI: Multiscale Graph Neural Networks with Implicit LayersJuncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao. [doi]
- From Gradient Flow on Population Loss to Learning with Stochastic Gradient DescentChristopher De Sa, Satyen Kale, Jason D. Lee, Ayush Sekhari, Karthik Sridharan. [doi]
- Neural-Symbolic Entangled Framework for Complex Query AnsweringZezhong Xu, Wen Zhang 0015, Peng Ye, Hui Chen 0018, Huajun Chen. [doi]
- Deep Equilibrium Approaches to Diffusion ModelsAshwini Pokle, Zhengyang Geng, J. Zico Kolter. [doi]
- Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query AttacksSizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang. [doi]
- ComMU: Dataset for Combinatorial Music GenerationHyun Lee, Taehyun Kim, Hyolim Kang, Minjoo Ki, Hyeonchan Hwang, Kwanho Park, Sharang Han, Seon Joo Kim. [doi]
- Online Training Through Time for Spiking Neural NetworksMingqing Xiao 0002, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin. [doi]
- Patching open-vocabulary models by interpolating weightsGabriel Ilharco, Mitchell Wortsman, Samir Yitzhak Gadre, Shuran Song, Hannaneh Hajishirzi, Simon Kornblith, Ali Farhadi, Ludwig Schmidt. [doi]
- Training Spiking Neural Networks with Event-driven BackpropagationYaoyu Zhu, Zhaofei Yu, Wei Fang, Xiaodong Xie, Tiejun Huang 0001, Timothée Masquelier. [doi]
- Provably sample-efficient RL with side information about latent dynamicsYao Liu, Dipendra Misra, Miro Dudík, Robert E. Schapire. [doi]
- MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface ReconstructionZehao Yu, Songyou Peng, Michael Niemeyer, Torsten Sattler, Andreas Geiger 0001. [doi]
- Embodied Scene-aware Human Pose EstimationZhengyi Luo 0002, Shun Iwase, Ye Yuan 0007, Kris Kitani. [doi]
- ADBench: Anomaly Detection BenchmarkSongqiao Han, Xiyang Hu, Hailiang Huang, Minqi Jiang, Yue Zhao 0016. [doi]
- 3DILG: Irregular Latent Grids for 3D Generative ModelingBiao Zhang 0005, Matthias Nießner, Peter Wonka. [doi]
- Spectrum Random Masking for Generalization in Image-based Reinforcement LearningYangru Huang, Peixi Peng, Yifan Zhao, Guangyao Chen, YongHong Tian. [doi]
- GLIPv2: Unifying Localization and Vision-Language UnderstandingHaotian Zhang, Pengchuan Zhang, Xiaowei Hu 0006, Yen-Chun Chen 0001, Liunian Harold Li, Xiyang Dai, Lijuan Wang, Lu Yuan, Jenq-Neng Hwang, Jianfeng Gao. [doi]
- Near-Optimal Regret Bounds for Multi-batch Reinforcement LearningZihan Zhang, Yuhang Jiang, Yuan Zhou, Xiangyang Ji. [doi]
- On Measuring Excess Capacity in Neural NetworksFlorian Graf, Sebastian Zeng, Bastian Rieck, Marc Niethammer, Roland Kwitt. [doi]
- Cooperative Distribution Alignment via JSD Upper BoundWonwoong Cho, Ziyu Gong, David I. Inouye. [doi]
- HyperDomainNet: Universal Domain Adaptation for Generative Adversarial NetworksAibek Alanov, Vadim Titov, Dmitry P. Vetrov. [doi]
- Sparse Structure Search for Delta TuningShengding Hu, Zhen Zhang, Ning Ding, Yadao Wang, Yasheng Wang, Zhiyuan Liu, Maosong Sun. [doi]
- Reinforcement Learning with Non-Exponential DiscountingMatthias Schultheis, Constantin A. Rothkopf, Heinz Koeppl. [doi]
- Hilbert Distillation for Cross-Dimensionality NetworksDian Qin, Haishuai Wang, Zhe Liu, Hongjia Xu, Sheng Zhou, Jiajun Bu. [doi]
- On the Strong Correlation Between Model Invariance and GeneralizationWeijian Deng, Stephen Gould, Liang Zheng 0001. [doi]
- Learning sparse features can lead to overfitting in neural networksLeonardo Petrini, Francesco Cagnetta, Eric Vanden-Eijnden, Matthieu Wyart. [doi]
- Periodic Graph Transformers for Crystal Material Property PredictionKeqiang Yan, Yi Liu, Yuchao Lin, Shuiwang Ji. [doi]
- New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and SoundArushi Gupta, Nikunj Saunshi, Dingli Yu, Kaifeng Lyu, Sanjeev Arora. [doi]
- On Learning Fairness and Accuracy on Multiple SubgroupsChangjian Shui, Gezheng Xu, Qi Chen, Jiaqi Li, Charles X. Ling, Tal Arbel, Boyu Wang, Christian Gagné 0001. [doi]
- Generating Long Videos of Dynamic ScenesTim Brooks, Janne Hellsten, Miika Aittala, Ting-chun Wang, Timo Aila, Jaakko Lehtinen, Ming-Yu Liu 0001, Alexei A. Efros, Tero Karras. [doi]
- RLIP: Relational Language-Image Pre-training for Human-Object Interaction DetectionHangjie Yuan, Jianwen Jiang, Samuel Albanie, Tao Feng, Ziyuan Huang, Dong Ni 0002, Mingqian Tang. [doi]
- Falsification before Extrapolation in Causal Effect EstimationZeshan M. Hussain, Michael Oberst, Ming-Chieh Shih, David A. Sontag. [doi]
- Improved Fine-Tuning by Better Leveraging Pre-Training DataZiquan Liu, Yi Xu, Yuanhong Xu, Qi Qian 0001, Hao Li 0030, Xiangyang Ji, Antoni B. Chan, Rong Jin 0001. [doi]
- A Regret-Variance Trade-Off in Online LearningDirk van der Hoeven, Nikita Zhivotovskiy, Nicolò Cesa-Bianchi. [doi]
- Hybrid Neural Autoencoders for Stimulus Encoding in Visual and Other Sensory NeuroprosthesesJacob Granley, Lucas Relic, Michael Beyeler. [doi]
- Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based ImaginationJiafei Lyu, Xiu Li, Zongqing Lu. [doi]
- When Does Differentially Private Learning Not Suffer in High Dimensions?Xuechen Li, Daogao Liu, Tatsunori B. Hashimoto, Huseyin A. Inan, Janardhan Kulkarni, Yin Tat Lee, Abhradeep Guha Thakurta. [doi]
- Differentially Private Online-to-batch for Smooth LossesQinzi Zhang, Hoang Tran, Ashok Cutkosky. [doi]
- Variational inference via Wasserstein gradient flowsMarc Lambert, Sinho Chewi, Francis R. Bach, Silvère Bonnabel, Philippe Rigollet. [doi]
- Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated LearningGrigory Malinovsky, Kai Yi, Peter Richtárik. [doi]
- Pessimism for Offline Linear Contextual Bandits using $\ell_p$ Confidence SetsGene Li, Cong Ma, Nati Srebro. [doi]
- Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge DistillationKien Do, Hung Le, Dung Nguyen, Dang Nguyen 0002, Haripriya Harikumar, Truyen Tran 0001, Santu Rana, Svetha Venkatesh. [doi]
- CoNSoLe: Convex Neural Symbolic LearningHaoran Li, Yang Weng, Hanghang Tong. [doi]
- Redundancy-Free Message Passing for Graph Neural NetworksRongqin Chen, Shenghui Zhang, Leong Hou U, Ye Li 0002. [doi]
- Diverse Weight Averaging for Out-of-Distribution GeneralizationAlexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord. [doi]
- GraphQNTK: Quantum Neural Tangent Kernel for Graph DataYehui Tang, Junchi Yan. [doi]
- Understanding Robust Learning through the Lens of Representation SimilaritiesChristian Cianfarani, Arjun Nitin Bhagoji, Vikash Sehwag, Ben Y. Zhao, Heather Zheng, Prateek Mittal. [doi]
- Forecasting Human Trajectory from Scene HistoryMancheng Meng, Ziyan Wu, Terrence Chen, Xiran Cai, Xiang Zhou, Fan Yang, Dinggang Shen. [doi]
- TREC: Transient Redundancy Elimination-based ConvolutionJiawei Guan, Feng Zhang, Jiesong Liu, Hsin-Hsuan Sung, Ruofan Wu, Xiaoyong Du, Xipeng Shen. [doi]
- Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point CloudsJunsheng Zhou, Baorui Ma, Yu-Shen Liu, Yi Fang, Zhizhong Han. [doi]
- Multi-Agent Reinforcement Learning is a Sequence Modeling ProblemMuning Wen, Jakub Grudzien Kuba, Runji Lin, Weinan Zhang 0001, Ying Wen 0001, Jun Wang 0012, Yaodong Yang 0001. [doi]
- Meta Reinforcement Learning with Finite Training Tasks - a Density Estimation ApproachZohar Rimon, Aviv Tamar, Gilad Adler. [doi]
- Distilled Gradient Aggregation: Purify Features for Input Attribution in the Deep Neural NetworkGiyoung Jeon, Haedong Jeong, Jaesik Choi. [doi]
- Minimax-Optimal Multi-Agent RL in Markov Games With a Generative ModelGen Li 0005, Yuejie Chi, Yuting Wei, Yuxin Chen 0002. [doi]
- Unknown-Aware Domain Adversarial Learning for Open-Set Domain AdaptationJoonHo Jang, Byeonghu Na, Donghyeok Shin, Mingi Ji, Kyungwoo Song, Il-Chul Moon. [doi]
- Adversarial Reprogramming RevisitedMatthias Englert, Ranko Lazic 0001. [doi]
- Sampling from Log-Concave Distributions with Infinity-Distance GuaranteesOren Mangoubi, Nisheeth K. Vishnoi. [doi]
- Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative PriorsRavid Shwartz-Ziv, Micah Goldblum, Hossein Souri, Sanyam Kapoor, Chen Zhu, Yann LeCun, Andrew G. Wilson. [doi]
- Fast Vision Transformers with HiLo AttentionZizheng Pan, Jianfei Cai 0001, Bohan Zhuang. [doi]
- Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary ConditionsMasanobu Horie, Naoto Mitsume. [doi]
- A consistently adaptive trust-region methodFadi Hamad, Oliver Hinder. [doi]
- METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related TweetsPeilin Zhou, Zeqiang Wang, Dading Chong, Zhijiang Guo, Yining Hua, Zichang Su, Zhiyang Teng, Jiageng Wu, Jie Yang. [doi]
- LISA: Learning Interpretable Skill Abstractions from LanguageDivyansh Garg, Skanda Vaidyanath, Kuno Kim, Jiaming Song, Stefano Ermon. [doi]
- Trajectory Inference via Mean-field Langevin in Path SpaceLénaïc Chizat, Stephen Zhang, Matthieu Heitz, Geoffrey Schiebinger. [doi]
- Retaining Knowledge for Learning with Dynamic DefinitionZichang Liu, Benjamin Coleman, Tianyi Zhang, Anshumali Shrivastava. [doi]
- Dynamic Inverse Reinforcement Learning for Characterizing Animal BehaviorZoe Ashwood, Aditi Jha, Jonathan W. Pillow. [doi]
- A Mixture Of Surprises for Unsupervised Reinforcement LearningAndrew Zhao, Matthieu Gaetan Lin, Yangguang Li, Yong-Jin Liu, Gao Huang. [doi]
- On Computing Probabilistic Explanations for Decision TreesMarcelo Arenas, Pablo Barceló, Miguel A. Romero Orth, Bernardo Subercaseaux. [doi]
- Weisfeiler and Leman Go Walking: Random Walk Kernels RevisitedNils M. Kriege. [doi]
- Cluster Randomized Designs for One-Sided Bipartite ExperimentsJennifer Brennan, Vahab Mirrokni, Jean Pouget-Abadie. [doi]
- Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental SegmentationZekang Zhang, Guangyu Gao, Zhiyuan Fang, Jianbo Jiao, Yunchao Wei. [doi]
- An Investigation into Whitening Loss for Self-supervised LearningXi Weng, Lei Huang, Lei Zhao, Rao Muhammad Anwer, Salman H. Khan 0001, Fahad Shahbaz Khan. [doi]
- Label Noise in Adversarial Training: A Novel Perspective to Study Robust OverfittingChengyu Dong, Liyuan Liu, Jingbo Shang. [doi]
- Two-layer neural network on infinite dimensional data: global optimization guarantee in the mean-field regimeNaoki Nishikawa, Taiji Suzuki, Atsushi Nitanda, Denny Wu. [doi]
- Generalization Error Bounds on Deep Learning with Markov DatasetsLan V. Truong. [doi]
- Embrace the Gap: VAEs Perform Independent Mechanism AnalysisPatrik Reizinger, Luigi Gresele, Jack Brady, Julius von Kügelgen, Dominik Zietlow, Bernhard Schölkopf, Georg Martius, Wieland Brendel, Michel Besserve. [doi]
- Online Reinforcement Learning for Mixed Policy ScopesJunzhe Zhang, Elias Bareinboim. [doi]
- Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage ProbabilityWhiyoung Jung, Myungsik Cho, Jongeui Park, Youngchul Sung. [doi]
- A Damped Newton Method Achieves Global $\mathcal O \left(\frac{1}{k^2}\right)$ and Local Quadratic Convergence RateSlavomír Hanzely, Dmitry Kamzolov, Dmitry Pasechnyuk, Alexander V. Gasnikov, Peter Richtárik, Martin Takác 0001. [doi]
- When does return-conditioned supervised learning work for offline reinforcement learning?David Brandfonbrener, Alberto Bietti, Jacob Buckman, Romain Laroche, Joan Bruna. [doi]
- Effective Backdoor Defense by Exploiting Sensitivity of Poisoned SamplesWeixin Chen, Baoyuan Wu, Haoqian Wang. [doi]
- Spatial Pruned Sparse Convolution for Efficient 3D Object DetectionJianhui Liu, Yukang Chen, Xiaoqing Ye, Zhuotao Tian, Xiao Tan, Xiaojuan Qi. [doi]
- DivBO: Diversity-aware CASH for Ensemble LearningYu Shen, Yupeng Lu, Yang Li 0106, Yaofeng Tu, Wentao Zhang, Bin Cui 0001. [doi]
- Provable Benefit of Multitask Representation Learning in Reinforcement LearningYuan Cheng, Songtao Feng, Jing Yang, Hong Zhang, Yingbin Liang. [doi]
- LOT: Layer-wise Orthogonal Training on Improving l2 Certified RobustnessXiaojun Xu, Linyi Li, Bo Li 0026. [doi]
- Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias PerspectiveChangyou Chen, Jianyi Zhang, Yi Xu, Liqun Chen, Jiali Duan, Yiran Chen 0001, Son Tran, Belinda Zeng, Trishul Chilimbi. [doi]
- Unsupervised Learning of Group Invariant and Equivariant RepresentationsRobin Winter, Marco Bertolini, Tuan Le, Frank Noé, Djork-Arné Clevert. [doi]
- Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence MattersSeyed Kamyar Seyed Ghasemipour, Shixiang Shane Gu, Ofir Nachum. [doi]
- Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in HealthcareShengpu Tang, Maggie Makar, Michael W. Sjoding, Finale Doshi-Velez, Jenna Wiens. [doi]
- A Unifying Framework for Online Optimization with Long-Term ConstraintsMatteo Castiglioni, Andrea Celli, Alberto Marchesi, Giulia Romano, Nicola Gatti 0001. [doi]
- A Probabilistic Graph Coupling View of Dimension ReductionHugues Van Assel, Thibault Espinasse, Julien Chiquet, Franck Picard. [doi]
- DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 StepsCheng Lu 0011, Yuhao Zhou, Fan Bao, Jianfei Chen 0001, Chongxuan Li, Jun Zhu 0001. [doi]
- On the difficulty of learning chaotic dynamics with RNNsJonas M. Mikhaeil, Zahra Monfared, Daniel Durstewitz. [doi]
- PeRFception: Perception using Radiance FieldsYoonwoo Jeong, Seungjoo Shin, Junha Lee, Christopher B. Choy, Anima Anandkumar, Minsu Cho, Jaesik Park. [doi]
- Risk-Driven Design of Perception SystemsAnthony Corso, Sydney M. Katz, Craig Innes, Xin Du, Subramanian Ramamoorthy, Mykel J. Kochenderfer. [doi]
- Learning Chaotic Dynamics in Dissipative SystemsZongyi Li, Miguel Liu-Schiaffini, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar. [doi]
- Explaining Preferences with Shapley ValuesRobert Hu, Siu Lun Chau, Jaime Ferrando Huertas, Dino Sejdinovic. [doi]
- A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process BanditsIlija Bogunovic, Zihan Li, Andreas Krause 0001, Jonathan Scarlett. [doi]
- When does dough become a bagel? Analyzing the remaining mistakes on ImageNetVijay Vasudevan, Benjamin Caine, Raphael Gontijo Lopes, Sara Fridovich-Keil, Rebecca Roelofs. [doi]
- Assaying Out-Of-Distribution Generalization in Transfer LearningFlorian Wenzel, Andrea Dittadi, Peter V. Gehler, Carl-Johann Simon-Gabriel, Max Horn, Dominik Zietlow, David Kernert, Chris Russell 0001, Thomas Brox, Bernt Schiele, Bernhard Schölkopf, Francesco Locatello. [doi]
- No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separationYu-Guan Hsieh, Kimon Antonakopoulos, Volkan Cevher, Panayotis Mertikopoulos. [doi]
- A theory of weight distribution-constrained learningWeishun Zhong, Ben Sorscher, Daniel Lee, Haim Sompolinsky. [doi]
- Equivariant Networks for Crystal StructuresSékou-Oumar Kaba, Siamak Ravanbakhsh. [doi]
- Invertible Monotone Operators for Normalizing FlowsByeongkeun Ahn, Chiyoon Kim, Youngjoon Hong, Hyunwoo J. Kim. [doi]
- Maximum Class Separation as Inductive Bias in One MatrixTejaswi Kasarla, Gertjan J. Burghouts, Max van Spengler, Elise van der Pol, Rita Cucchiara, Pascal Mettes. [doi]
- LOG: Active Model Adaptation for Label-Efficient OOD GeneralizationJie-Jing Shao, Lan-Zhe Guo, Xiaowen Yang, Yu-Feng Li. [doi]
- Escaping Saddle Points for Effective Generalization on Class-Imbalanced DataHarsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Venkatesh Babu R.. [doi]
- Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEsJinguo Zhu, Xizhou Zhu, Wenhai Wang, Xiaohua Wang, Hongsheng Li, Xiaogang Wang, Jifeng Dai. [doi]
- Homomorphic Matrix CompletionXiao-Yang Liu, Zechu (Steven) Li, Xiaodong Wang. [doi]
- Implications of Model Indeterminacy for Explanations of Automated DecisionsMarc-Etienne Brunet, Ashton Anderson, Richard S. Zemel. [doi]
- Benefits of Permutation-Equivariance in Auction MechanismsTian Qin, Fengxiang He, Dingfeng Shi, Wenbing Huang 0001, Dacheng Tao. [doi]
- Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning AttackTian-Yu Liu, Yu Yang, Baharan Mirzasoleiman. [doi]
- EpiGRAF: Rethinking training of 3D GANsIvan Skorokhodov, Sergey Tulyakov, Yiqun Wang 0001, Peter Wonka. [doi]
- Scaling Multimodal Pre-Training via Cross-Modality Gradient HarmonizationJunru Wu, Yi Liang, Feng Han, Hassan Akbari, Zhangyang Wang, Cong Yu 0018. [doi]
- Towards Improving Calibration in Object Detection Under Domain ShiftMuhammad Akhtar Munir, Muhammad Haris Khan, M. Sarfraz, Mohsen Ali. [doi]
- Physics-Informed Implicit Representations of Equilibrium Network FlowsKevin D. Smith, Francesco Seccamonte, Ananthram Swami, Francesco Bullo. [doi]
- Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic SystemsAkshay Mete, Rahul Singh 0001, P. R. Kumar 0001. [doi]
- M4Singer: A Multi-Style, Multi-Singer and Musical Score Provided Mandarin Singing CorpusLichao Zhang, Ruiqi Li, Shoutong Wang, Liqun Deng, Jinglin Liu, Yi Ren 0006, Jinzheng He, Rongjie Huang, Jieming Zhu, Xiao Chen, Zhou Zhao. [doi]
- Precise Learning Curves and Higher-Order Scalings for Dot-product Kernel RegressionLechao Xiao, Hong Hu, Theodor Misiakiewicz, Yue Lu, Jeffrey Pennington. [doi]
- Perturbation Learning Based Anomaly DetectionJinyu Cai, Jicong Fan. [doi]
- Streaming Radiance Fields for 3D Video SynthesisLingzhi Li 0011, Zhen Shen, Zhongshu Wang, Li Shen 0003, Ping Tan. [doi]
- Differentially Private Learning with Margin GuaranteesRaef Bassily, Mehryar Mohri, Ananda Theertha Suresh. [doi]
- Neuron with Steady Response Leads to Better GeneralizationQiang Fu, Lun Du, Haitao Mao, Xu Chen 0022, Wei Fang, Shi Han, Dongmei Zhang 0001. [doi]
- VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely?Jiawei Jiang, Lukas Burkhalter, Fangcheng Fu, Bolin Ding, Bo Du, Anwar Hithnawi, Bo Li 0026, Ce Zhang 0001. [doi]
- Precise Regret Bounds for Log-loss via a Truncated Bayesian AlgorithmChanglong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski. [doi]
- CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network InferenceRan Ran, Wei Wang, Quan Gang, Jieming Yin, Nuo Xu, Wujie Wen. [doi]
- A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear BanditsJiafan He, Tianhao Wang 0002, Yifei Min, Quanquan Gu. [doi]
- Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material PropertiesZeren Shui, Daniel S. Karls, Mingjian Wen, Ilia A. Nikiforov, Ellad B. Tadmor, George Karypis. [doi]
- Peripheral Vision TransformerJuhong Min, Yucheng Zhao, Chong Luo, Minsu Cho. [doi]
- Amortized Inference for Causal Structure LearningLars Lorch, Scott Sussex, Jonas Rothfuss, Andreas Krause 0001, Bernhard Schölkopf. [doi]
- Enhanced Bilevel Optimization via Bregman DistanceFeihu Huang, Junyi Li, Shangqian Gao, Heng Huang. [doi]
- Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPsAndrea Tirinzoni, Aymen Al Marjani, Emilie Kaufmann. [doi]
- Learning to Navigate Wikipedia by Taking Random WalksManzil Zaheer, Kenneth Marino, Will Grathwohl, John Schultz, Wendy Shang, Sheila Babayan, Arun Ahuja, Ishita Dasgupta, Christine Kaeser-Chen, Rob Fergus. [doi]
- PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear BanditsKyoungseok Jang, Chicheng Zhang, Kwang-Sung Jun. [doi]
- Causal Discovery in Linear Latent Variable Models Subject to Measurement ErrorYuqin Yang, AmirEmad Ghassami, Mohamed S. Nafea, Negar Kiyavash, Kun Zhang 0001, Ilya Shpitser. [doi]
- Where to Pay Attention in Sparse Training for Feature Selection?Ghada Sokar, Zahra Atashgahi, Mykola Pechenizkiy, Decebal Constantin Mocanu. [doi]
- Supervising the Multi-Fidelity Race of Hyperparameter ConfigurationsMartin Wistuba, Arlind Kadra, Josif Grabocka. [doi]
- Dataset Distillation via FactorizationSonghua Liu, Kai Wang 0036, Xingyi Yang, Jingwen Ye, Xinchao Wang. [doi]
- Network change point localisation under local differential privacyMengchu Li, Thomas Berrett, Yi Yu. [doi]
- Constrained Predictive Coding as a Biologically Plausible Model of the Cortical HierarchySiavash Golkar, Tiberiu Tesileanu, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii. [doi]
- An Analytical Theory of Curriculum Learning in Teacher-Student NetworksLuca Saglietti, Stefano Sarao Mannelli, Andrew M. Saxe. [doi]
- Improving Generative Adversarial Networks via Adversarial Learning in Latent SpaceYang Li, Yichuan Mo, Liangliang Shi, Junchi Yan. [doi]
- PlasticityNet: Learning to Simulate Metal, Sand, and Snow for Optimization Time IntegrationXuan Li, Yadi Cao, Minchen Li, Yin Yang 0002, Craig A. Schroeder, Chenfanfu Jiang. [doi]
- DC-BENCH: Dataset Condensation BenchmarkJustin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh. [doi]
- Sequencer: Deep LSTM for Image ClassificationYuki Tatsunami, Masato Taki. [doi]
- Branch & Learn for Recursively and Iteratively Solvable Problems in Predict+OptimizeXinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee, Allen Z. Zhong. [doi]
- Signal Propagation in Transformers: Theoretical Perspectives and the Role of Rank CollapseLorenzo Noci, Sotiris Anagnostidis, Luca Biggio, Antonio Orvieto, Sidak Pal Singh, Aurélien Lucchi. [doi]
- On the Limitations of Stochastic Pre-processing DefensesYue Gao 0011, Ilia Shumailov, Kassem Fawaz, Nicolas Papernot. [doi]
- ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision MedicineIlker Demirel, Ahmet Alparslan Celik, Cem Tekin. [doi]
- A PAC-Bayesian Generalization Bound for Equivariant NetworksArash Behboodi, Gabriele Cesa, Taco S. Cohen. [doi]
- Analyzing Sharpness along GD Trajectory: Progressive Sharpening and Edge of StabilityZixuan Wang, Zhouzi Li, Jian Li. [doi]
- Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need?Leon Gerard, Michael Scherbela, Philipp Marquetand, Philipp Grohs. [doi]
- PerfectDou: Dominating DouDizhu with Perfect Information DistillationGuan Yang, Minghuan Liu, Weijun Hong, Weinan Zhang 0001, Fei Fang, Guangjun Zeng, Yue Lin. [doi]
- TPU-KNN: K Nearest Neighbor Search at Peak FLOP/sFelix Chern, Blake Hechtman, Andy Davis, Ruiqi Guo, David Majnemer, Sanjiv Kumar. [doi]
- What You See is What You Classify: Black Box AttributionsSteven Stalder, Nathanaël Perraudin, Radhakrishna Achanta, Fernando Pérez-Cruz, Michele Volpi. [doi]
- ST-Adapter: Parameter-Efficient Image-to-Video Transfer LearningJunting Pan, Ziyi Lin, Xiatian Zhu, Jing Shao, Hongsheng Li 0001. [doi]
- EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed OptimizationLaurent Condat, Kai Yi, Peter Richtárik. [doi]
- Non-Linear Coordination GraphsYipeng Kang, Tonghan Wang 0001, Qianlan Yang, Xiaoran Wu, Chongjie Zhang. [doi]
- Riemannian Diffusion ModelsChin-Wei Huang, Milad Aghajohari, Joey Bose, Prakash Panangaden, Aaron C. Courville. [doi]
- Asynchronous Actor-Critic for Multi-Agent Reinforcement LearningYuchen Xiao, Weihao Tan, Christopher Amato. [doi]
- HyperMiner: Topic Taxonomy Mining with Hyperbolic EmbeddingYishi Xu, Dongsheng Wang 0003, Bo Chen 0001, Ruiying Lu, Zhibin Duan, Mingyuan Zhou. [doi]
- GMMSeg: Gaussian Mixture based Generative Semantic Segmentation ModelsChen Liang, Wenguan Wang, Jiaxu Miao, Yi Yang 0001. [doi]
- Federated Submodel Optimization for Hot and Cold Data FeaturesYucheng Ding, Chaoyue Niu, Fan Wu, ShaoJie Tang, Chengfei Lyu, Yanghe Feng, Guihai Chen. [doi]
- Online Allocation and Learning in the Presence of Strategic AgentsSteven Yin, Shipra Agrawal 0001, Assaf Zeevi. [doi]
- Deep Learning Methods for Proximal Inference via Maximum Moment RestrictionBenjamin Kompa, David R. Bellamy, Thomas Kolokotrones, James M. Robins, Andrew Beam. [doi]
- Non-stationary Bandits with KnapsacksShang Liu, Jiashuo Jiang, Xiaocheng Li. [doi]
- Near-Optimal Correlation Clustering with PrivacyVincent Cohen-Addad, Chenglin Fan, Silvio Lattanzi, Slobodan Mitrovic, Ashkan Norouzi-Fard, Nikos Parotsidis, Jakub Tarnawski. [doi]
- Proximal Point Imitation LearningLuca Viano, Angeliki Kamoutsi, Gergely Neu, Igor Krawczuk, Volkan Cevher. [doi]
- Marksman Backdoor: Backdoor Attacks with Arbitrary Target ClassKhoa D. Doan, Yingjie Lao, Ping Li 0001. [doi]
- Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute SynthesisYu-Hsuan Li, Tzu-Yin Chao, Ching-Chun Huang, Pin-Yu Chen, Wei-chen Chiu. [doi]
- Reinforcement Learning in a Birth and Death Process: Breaking the Dependence on the State SpaceJonatha Anselmi, Bruno Gaujal, Louis-Sébastien Rebuffi. [doi]
- Structural Kernel Search via Bayesian Optimization and Symbolical Optimal TransportMatthias Bitzer, Mona Meister, Christoph Zimmer. [doi]
- Inception TransformerChenyang Si, Weihao Yu, Pan Zhou, Yichen Zhou, Xinchao Wang, Shuicheng Yan. [doi]
- A Variational Edge Partition Model for Supervised Graph Representation LearningYilin He, Chaojie Wang, Hao Zhang, Bo Chen, Mingyuan Zhou. [doi]
- Sparse Fourier Backpropagation in Cryo-EM ReconstructionDari Kimanius, Kiarash Jamali, Sjors H. W. Scheres. [doi]
- Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian GradientsKyurae Kim, Jisu Oh, Jacob R. Gardner, Adji Bousso Dieng, Hongseok Kim. [doi]
- OST: Improving Generalization of DeepFake Detection via One-Shot Test-Time TrainingLiang Chen, Yong Zhang, Yibing Song, Jue Wang, Lingqiao Liu. [doi]
- Learning Dense Object Descriptors from Multiple Views for Low-shot Category GeneralizationStefan Stojanov, Anh Thai, Zixuan Huang, James M. Rehg. [doi]
- OccGen: Selection of Real-world Multilingual Parallel Data Balanced in Gender within OccupationsMarta R. Costa-Jussà, Christine Basta, Oriol Domingo, André Rubungo. [doi]
- Graph Learning Assisted Multi-Objective Integer ProgrammingYaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang 0002, Abhishek Gupta, Mingyan Lin. [doi]
- Differentially Private Model CompressionFatemehsadat Mireshghallah, Arturs Backurs, Huseyin A. Inan, Lukas Wutschitz, Janardhan Kulkarni. [doi]
- Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language ModelsDongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Hassan Awadallah, Jianfeng Gao. [doi]
- On the Generalizability and Predictability of Recommender SystemsDuncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, John Dickerson 0001, Colin White. [doi]
- Analyzing Data-Centric Properties for Graph Contrastive LearningPuja Trivedi, Ekdeep Singh Lubana, Mark Heimann, Danai Koutra, Jayaraman J. Thiagarajan. [doi]
- Empirical Phase Diagram for Three-layer Neural Networks with Infinite WidthHanxu Zhou, Qixuan Zhou, Zhenyuan Jin, Tao Luo, Yaoyu Zhang, Zhi-Qin J. Xu. [doi]
- Amortized Mixing Coupling Processes for ClusteringHuafeng Liu 0001, Liping Jing. [doi]
- Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy ConstraintsJustin Whitehouse, Aaditya Ramdas, Zhiwei Steven Wu, Ryan M. Rogers. [doi]
- Change Event Dataset for Discovery from Spatio-temporal Remote Sensing ImageryUtkarsh Mall, Bharath Hariharan, Kavita Bala. [doi]
- DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement LearningArchana Bura, Aria HasanzadeZonuzy, Dileep Kalathil, Srinivas Shakkottai, Jean-François Chamberland. [doi]
- Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation LearningFuying Wang, Yuyin Zhou, Shujun Wang, Varut Vardhanabhuti, Lequan Yu. [doi]
- Generalized Laplacian EigenmapsHao Zhu, Piotr Koniusz. [doi]
- HAPI: A Large-scale Longitudinal Dataset of Commercial ML API PredictionsLingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Y. Zou. [doi]
- NOMAD: Nonlinear Manifold Decoders for Operator LearningJacob H. Seidman, Georgios Kissas, Paris Perdikaris, George J. Pappas. [doi]
- A Closer Look at Prototype Classifier for Few-shot Image ClassificationMingcheng Hou, Issei Sato. [doi]
- Refining Low-Resource Unsupervised Translation by Language Disentanglement of Multilingual Translation ModelXuan-Phi Nguyen, Shafiq R. Joty, Kui Wu 0004, Ai Ti Aw. [doi]
- Fuzzy Learning MachineJunbiao Cui, Jiye Liang. [doi]
- LIPS - Learning Industrial Physical Simulation benchmark suiteMilad Leyli-Abadi, Antoine Marot, Jérôme Picault, David Danan, Mouadh Yagoubi, Benjamin Donnot, Seif Attoui, Pavel Dimitrov, Asma Farjallah, Clement Etienam. [doi]
- Gradient Methods Provably Converge to Non-Robust NetworksGal Vardi, Gilad Yehudai, Ohad Shamir. [doi]
- Efficient Graph Similarity Computation with Alignment RegularizationWei Zhuo, Guang Tan. [doi]
- Learning to Follow Instructions in Text-Based GamesMathieu Tuli, Andrew C. Li, Pashootan Vaezipoor, Toryn Q. Klassen, Scott Sanner, Sheila A. McIlraith. [doi]
- Geo-SIC: Learning Deformable Geometric Shapes in Deep Image ClassifiersJian Wang, Miaomiao Zhang. [doi]
- Towards Theoretically Inspired Neural Initialization OptimizationYibo Yang, Hong Wang, Haobo Yuan, Zhouchen Lin. [doi]
- Learning Latent Seasonal-Trend Representations for Time Series ForecastingZhiyuan Wang, Xovee Xu, Weifeng Zhang, Goce Trajcevski, Ting Zhong, Fan Zhou 0002. [doi]
- Overparameterization from Computational ConstraintsSanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Mingyuan Wang. [doi]
- ShapeCrafter: A Recursive Text-Conditioned 3D Shape Generation ModelRao Fu, Xiao Zhan, Yiwen Chen, Daniel Ritchie, Srinath Sridhar 0002. [doi]
- The Policy-gradient Placement and Generative Routing Neural Networks for Chip DesignRuoyu Cheng, Xianglong Lyu, Yang Li, Junjie Ye, Jianye Hao, Junchi Yan. [doi]
- Q-ViT: Accurate and Fully Quantized Low-bit Vision TransformerYanjing Li, Sheng Xu, Baochang Zhang 0001, Xianbin Cao 0001, Peng Gao 0007, Guodong Guo. [doi]
- Ontologue: Declarative Benchmark Construction for Ontological Multi-Label ClassificationSean Yang, Bernease Herman, Bill Howe. [doi]
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural NetworksAgustinus Kristiadi, Runa Eschenhagen, Philipp Hennig. [doi]
- Collaborative Learning by Detecting Collaboration PartnersShu Ding, Wei Wang. [doi]
- Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse TrainingGeng Yuan, Yanyu Li, Sheng Li 0019, Zhenglun Kong, Sergey Tulyakov, Xulong Tang, Yanzhi Wang, Jian Ren. [doi]
- Policy Gradient With Serial Markov Chain ReasoningEdoardo Cetin, Oya Çeliktutan. [doi]
- Tikhonov Regularization is Optimal Transport Robust under Martingale ConstraintsJiajin Li, Sirui Lin, Jose H. Blanchet, Viet Anh Nguyen. [doi]
- Modeling the Machine Learning MultiverseSamuel J. Bell, Onno Kampman, Jesse Dodge, Neil D. Lawrence. [doi]
- Local Identifiability of Deep ReLU Neural Networks: the TheoryJoachim Bona-Pellissier, François Malgouyres, François Bachoc. [doi]
- Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization ProblemsYanchen Deng, Shufeng Kong, Caihua Liu, Bo An 0001. [doi]
- WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language ModelsYonatan Bitton, Nitzan Bitton Guetta, Ron Yosef, Yuval Elovici, Mohit Bansal, Gabriel Stanovsky, Roy Schwartz 0001. [doi]
- KSD Aggregated Goodness-of-fit TestAntonin Schrab, Benjamin Guedj, Arthur Gretton. [doi]
- MAgNet: Mesh Agnostic Neural PDE SolverOussama Boussif, Yoshua Bengio, Loubna Benabbou, Dan Assouline. [doi]
- Algorithms and Hardness for Learning Linear Thresholds from Label ProportionsRishi Saket. [doi]
- Molecule Generation by Principal Subgraph Mining and AssemblingXiangzhe Kong, Wenbing Huang 0001, Zhixing Tan, Yang Liu 0005. [doi]
- Learning Fractional White Noises in Neural Stochastic Differential EquationsAnh Tong, Thanh Nguyen-Tang, Toan M. Tran, Jaesik Choi. [doi]
- Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent LanguageZhenlin Xu, Marc Niethammer, Colin Raffel. [doi]
- ETAB: A Benchmark Suite for Visual Representation Learning in EchocardiographyAhmed M. Alaa, Anthony Philippakis, David A. Sontag. [doi]
- Cost-Sensitive Self-Training for Optimizing Non-Decomposable MetricsHarsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda, Venkatesh Babu R.. [doi]
- Lethal Dose Conjecture on Data PoisoningWenxiao Wang 0002, Alexander Levine 0001, Soheil Feizi. [doi]
- MOVE: Unsupervised Movable Object Segmentation and DetectionAdam Bielski, Paolo Favaro. [doi]
- Recovering Private Text in Federated Learning of Language ModelsSamyak Gupta, Yangsibo Huang, Zexuan Zhong, Tianyu Gao, Kai Li, Danqi Chen. [doi]
- Transferring Fairness under Distribution Shifts via Fair Consistency RegularizationBang An, Zora Che, Mucong Ding, Furong Huang. [doi]
- Masked Autoencoders As Spatiotemporal LearnersChristoph Feichtenhofer, Haoqi Fan 0001, Yanghao Li, Kaiming He. [doi]
- Debiased, Longitudinal and Coordinated Drug Recommendation through Multi-Visit Clinic RecordsHongda Sun, Shufang Xie 0003, Shuqi Li, Yuhan Chen, Ji-Rong Wen, Rui Yan 0001. [doi]
- GPT3.int8(): 8-bit Matrix Multiplication for Transformers at ScaleTim Dettmers, Mike Lewis, Younes Belkada, Luke Zettlemoyer. [doi]
- Data-Efficient Structured Pruning via Submodular OptimizationMarwa El Halabi, Suraj Srinivas, Simon Lacoste-Julien. [doi]
- Learning from Future: A Novel Self-Training Framework for Semantic SegmentationYe Du, Yujun Shen, Haochen Wang, Jingjing Fei, Wei Li, Liwei Wu, Rui Zhao 0018, Zehua Fu, Qingjie Liu. [doi]
- ShuffleMixer: An Efficient ConvNet for Image Super-ResolutionLong Sun, Jinshan Pan, Jinhui Tang 0001. [doi]
- MoCapAct: A Multi-Task Dataset for Simulated Humanoid ControlNolan Wagener, Andrey Kolobov, Felipe Vieira Frujeri, Ricky Loynd, Ching-An Cheng, Matthew J. Hausknecht. [doi]
- UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware MixupZongbo Han, Zhipeng Liang, Fan Yang 0081, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao 0001. [doi]
- Dataset Distillation using Neural Feature RegressionYongchao Zhou, Ehsan Nezhadarya, Jimmy Ba. [doi]
- Towards Practical Control of Singular Values of Convolutional LayersAlexandra Senderovich, Ekaterina Bulatova, Anton Obukhov, Maxim V. Rakhuba. [doi]
- Robust Imitation of a Few Demonstrations with a Backwards ModelJung Yeon Park, Lawson L. S. Wong. [doi]
- Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks AdaptivelyHaojie Zhang, Ge Li 0001, Jia Li, Zhongjin Zhang, Yuqi Zhu, Zhi Jin. [doi]
- When Combinatorial Thompson Sampling meets Approximation RegretPierre Perrault. [doi]
- Sequence-to-Set Generative ModelsLongtao Tang, Ying Zhou, Yu Yang. [doi]
- Revisiting Neural Scaling Laws in Language and VisionIbrahim M. Alabdulmohsin, Behnam Neyshabur, Xiaohua Zhai. [doi]
- On Privacy and Personalization in Cross-Silo Federated LearningKen Liu, Shengyuan Hu, Steven Z. Wu, Virginia Smith. [doi]
- Exploitability Minimization in Games and BeyondDenizalp Goktas, Amy Greenwald. [doi]
- S-PIFu: Integrating Parametric Human Models with PIFu for Single-view Clothed Human ReconstructionKennard Yanting Chan, Guosheng Lin, Haiyu Zhao, Weisi Lin. [doi]
- Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rulesYuhan Helena Liu, Arna Ghosh, Blake A. Richards, Eric Shea-Brown, Guillaume Lajoie. [doi]
- Tractable Function-Space Variational Inference in Bayesian Neural NetworksTim G. J. Rudner, Zonghao Chen, Yee Whye Teh, Yarin Gal. [doi]
- On Uncertainty, Tempering, and Data Augmentation in Bayesian ClassificationSanyam Kapoor, Wesley J. Maddox, Pavel Izmailov, Andrew Gordon Wilson. [doi]
- NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device SimulationJiaqi Gu, Zhengqi Gao, Chenghao Feng, Hanqing Zhu, Ray Chen, Duane S. Boning, David Pan. [doi]
- Functional Ensemble DistillationCoby Penso, Idan Achituve, Ethan Fetaya. [doi]
- Composite Feature Selection Using Deep EnsemblesFergus Imrie, Alexander Norcliffe, Pietro Lió, Mihaela van der Schaar. [doi]
- LION: Latent Point Diffusion Models for 3D Shape GenerationXiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis. [doi]
- Museformer: Transformer with Fine- and Coarse-Grained Attention for Music GenerationBotao Yu, Peiling Lu, Rui Wang, Wei Hu, Xu Tan 0003, Wei Ye 0004, Shikun Zhang, Tao Qin, Tie-Yan Liu. [doi]
- A Classification of $G$-invariant Shallow Neural NetworksDevanshu Agrawal, James Ostrowski. [doi]
- Learning Structure from the Ground up - Hierarchical Representation Learning by ChunkingShuchen Wu, Noemi Elteto, Ishita Dasgupta, Eric Schulz. [doi]
- Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformersRan Liu, Mehdi Azabou, Max Dabagia, Jingyun Xiao, Eva L. Dyer. [doi]
- Lost in Latent Space: Examining failures of disentangled models at combinatorial generalisationMilton Llera Montero, Jeffrey S. Bowers, Rui Ponte Costa, Casimir J. H. Ludwig, Gaurav Malhotra. [doi]
- Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution RobustnessFrancesco Pinto, Harry Yang, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania. [doi]
- Addressing Leakage in Concept Bottleneck ModelsMarton Havasi, Sonali Parbhoo, Finale Doshi-Velez. [doi]
- Exact Solutions of a Deep Linear NetworkZiyin Liu, Botao Li, Xiangming Meng. [doi]
- First-Order Algorithms for Min-Max Optimization in Geodesic Metric SpacesMichael I. Jordan, Tianyi Lin, Emmanouil-Vasileios Vlatakis-Gkaragkounis. [doi]
- Is Out-of-Distribution Detection Learnable?Zhen Fang, Yixuan Li, Jie Lu 0001, Jiahua Dong, Bo Han 0003, Feng Liu 0003. [doi]
- Subsidiary Prototype Alignment for Universal Domain AdaptationJogendra Nath Kundu, Suvaansh Bhambri, Akshay R. Kulkarni, Hiran Sarkar, Varun Jampani, Venkatesh Babu R.. [doi]
- Near-Isometric Properties of Kronecker-Structured Random Tensor EmbeddingsQijia Jiang. [doi]
- Accelerated Linearized Laplace Approximation for Bayesian Deep LearningZhijie Deng, Feng Zhou, Jun Zhu 0001. [doi]
- Learning Distinct and Representative Modes for Image CaptioningQi Chen, Chaorui Deng, Qi Wu 0001. [doi]
- On the SDEs and Scaling Rules for Adaptive Gradient AlgorithmsSadhika Malladi, Kaifeng Lyu, Abhishek Panigrahi, Sanjeev Arora. [doi]
- MsSVT: Mixed-scale Sparse Voxel Transformer for 3D Object Detection on Point CloudsShaocong Dong, Lihe Ding, Haiyang Wang, Tingfa Xu, Xinli Xu, Jie Wang, Ziyang Bian, Ying Wang, Jianan Li. [doi]
- M2N: Mesh Movement Networks for PDE SolversWenbin Song, Mingrui Zhang, Joseph G. Wallwork, Junpeng Gao, Zheng Tian, Fanglei Sun, Matthew D. Piggott, Junqing Chen, Zuoqiang Shi, Xiang Chen, Jun Wang. [doi]
- Robust Calibration with Multi-domain Temperature ScalingYaodong Yu, Stephen Bates, Yi Ma 0001, Michael I. Jordan. [doi]
- Byzantine-tolerant federated Gaussian process regression for streaming dataXu Zhang, Zhenyuan Yuan, Minghui Zhu. [doi]
- Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World ModelsMinting Pan, Xiangming Zhu 0002, Yunbo Wang, Xiaokang Yang. [doi]
- Performative PowerMoritz Hardt, Meena Jagadeesan, Celestine Mendler-Dünner. [doi]
- Evaluating Robustness to Dataset Shift via Parametric Robustness SetsNikolaj Thams, Michael Oberst, David A. Sontag. [doi]
- One-shot Neural Backdoor Erasing via Adversarial Weight MaskingShuwen Chai, Jinghui Chen. [doi]
- Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial RemovalYucheng Shi, Yahong Han, Yu-an Tan 0001, Xiaohui Kuang. [doi]
- Censored Quantile Regression Neural Networks for Distribution-Free Survival AnalysisTim Pearce, Jong-Hyeon Jeong, Yichen Jia, Jun Zhu. [doi]
- Training and Inference on Any-Order Autoregressive Models the Right WayAndy Shih, Dorsa Sadigh, Stefano Ermon. [doi]
- Segmenting Moving Objects via an Object-Centric Layered RepresentationJunyu Xie, Weidi Xie, Andrew Zisserman. [doi]
- Graph Scattering beyond Wavelet ShacklesChristian Koke, Gitta Kutyniok. [doi]
- Sparse Gaussian Process Hyperparameters: Optimize or Integrate?Vidhi Lalchand, Wessel P. Bruinsma, David R. Burt, Carl Edward Rasmussen. [doi]
- HSDF: Hybrid Sign and Distance Field for Modeling Surfaces with Arbitrary TopologiesLi Wang, Jie Yang 0038, Weikai Chen 0001, Xiaoxu Meng, Bo Yang, Jintao Li, Lin Gao 0004. [doi]
- Generalization for multiclass classification with overparameterized linear modelsVignesh Subramanian, Rahul Arya, Anant Sahai. [doi]
- Functional Indirection Neural Estimator for Better Out-of-distribution GeneralizationKha Pham, Hung Le, Man Ngo, Truyen Tran 0001. [doi]
- TUSK: Task-Agnostic Unsupervised KeypointsYuhe Jin, Weiwei Sun, Jan Hosang, Eduard Trulls, Kwang Moo Yi. [doi]
- Selective compression learning of latent representations for variable-rate image compressionJooyoung Lee, Seyoon Jeong, Munchurl Kim. [doi]
- Controllable 3D Face Synthesis with Conditional Generative Occupancy FieldsKeqiang Sun, Shangzhe Wu, Zhaoyang Huang, Ning Zhang, Quan Wang, Hongsheng Li 0001. [doi]
- Domain Adaptation meets Individual Fairness. And they get alongDebarghya Mukherjee, Felix Petersen, Mikhail Yurochkin, Yuekai Sun. [doi]
- Globally Convergent Policy Search for Output EstimationJack Umenberger, Max Simchowitz, Juan C. Perdomo, Kaiqing Zhang, Russ Tedrake. [doi]
- When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement LearningHaoyi Niu, Shubham Sharma, Yiwen Qiu, Ming Li, Guyue Zhou, Jianming Hu, Xianyuan Zhan. [doi]
- SoftPatch: Unsupervised Anomaly Detection with Noisy DataXi Jiang, Jianlin Liu, Jinbao Wang, Qiang Nie, Kai Wu, Yong Liu, Chengjie Wang, Feng Zheng. [doi]
- Active Learning Helps Pretrained Models Learn the Intended TaskAlex Tamkin, Dat Nguyen, Salil Deshpande, Jesse Mu, Noah D. Goodman. [doi]
- Transform Once: Efficient Operator Learning in Frequency DomainMichael Poli, Stefano Massaroli, Federico Berto, Jinkyoo Park, Tri Dao, Christopher Ré, Stefano Ermon. [doi]
- A Consistent and Differentiable Lp Canonical Calibration Error EstimatorTeodora Popordanoska, Raphael Sayer, Matthew B. Blaschko. [doi]
- DGraph: A Large-Scale Financial Dataset for Graph Anomaly DetectionXuanwen Huang, Yang Yang 0009, Yang Wang, Chunping Wang 0001, Zhisheng Zhang, Jiarong Xu, Lei Chen, Michalis Vazirgiannis. [doi]
- DGD^2: A Linearly Convergent Distributed Algorithm For High-dimensional Statistical RecoveryMarie Maros, Gesualdo Scutari. [doi]
- Diversity vs. Recognizability: Human-like generalization in one-shot generative modelsVictor Boutin, Lakshya Singhal, Xavier Thomas, Thomas Serre. [doi]
- Robustness to Label Noise Depends on the Shape of the Noise DistributionDiane Oyen, Michal Kucer, Nicolas W. Hengartner, Har Simrat Singh. [doi]
- Focal Modulation NetworksJianwei Yang, Chunyuan Li, Xiyang Dai, Jianfeng Gao. [doi]
- Oscillatory Tracking of Continuous Attractor Neural Networks Account for Phase Precession and Procession of Hippocampal Place CellsTianhao Chu, Zilong Ji, Junfeng Zuo, Wenhao Zhang 0002, Tiejun Huang 0001, Yuanyuan Mi, Si Wu 0001. [doi]
- Leveraging the Hints: Adaptive Bidding in Repeated First-Price AuctionsWei Zhang, Yanjun Han, Zhengyuan Zhou, Aaron Flores 0001, Tsachy Weissman. [doi]
- Weighted Mutual Learning with Diversity-Driven Model CompressionMiao Zhang, Li Wang, David Campos 0002, Wei Huang, Chenjuan Guo, Bin Yang 0002. [doi]
- Influencing Long-Term Behavior in Multiagent Reinforcement LearningDong Ki Kim, Matthew Riemer, Miao Liu 0001, Jakob N. Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan P. How. [doi]
- Lifelong Neural Predictive Coding: Learning Cumulatively Online without ForgettingAlexander Ororbia, Ankur Arjun Mali, C. Lee Giles, Daniel Kifer. [doi]
- Understanding the Eluder DimensionGene Li, Pritish Kamath, Dylan J. Foster, Nati Srebro. [doi]
- Neural Circuit Architectural Priors for Embodied ControlNikhil X. Bhattasali, Anthony M. Zador, Tatiana A. Engel. [doi]
- FETA: Towards Specializing Foundational Models for Expert Task ApplicationsAmit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Peter W. J. Staar, Kate Saenko, Rogério Feris, Leonid Karlinsky. [doi]
- Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution GeneralizationWeijia Zhang 0001, Xuanhui Zhang, Hanwen Deng, Min-Ling Zhang. [doi]
- Contextual Bandits with Knapsacks for a Conversion ModelZhen Li, Gilles Stoltz. [doi]
- Large-scale Optimization of Partial AUC in a Range of False Positive RatesYao Yao, Qihang Lin, Tianbao Yang. [doi]
- Batch Multi-Fidelity Active Learning with Budget ConstraintsShibo Li, Jeff M. Phillips, Xin Yu 0003, Robert M. Kirby, Shandian Zhe. [doi]
- A permutation-free kernel two-sample testShubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas. [doi]
- Video-based Human-Object Interaction Detection from Tubelet TokensDanyang Tu, Wei Sun, Xiongkuo Min, Guangtao Zhai, Wei Shen. [doi]
- Adapting to Online Label Shift with Provable GuaranteesYong Bai, Yu-Jie Zhang, Peng Zhao 0006, Masashi Sugiyama, Zhi-Hua Zhou. [doi]
- Efficient Risk-Averse Reinforcement LearningIdo Greenberg, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor. [doi]
- Finite-Sample Maximum Likelihood Estimation of LocationShivam Gupta 0002, Jasper C. H. Lee, Eric Price 0001, Paul Valiant. [doi]
- Tractable Optimality in Episodic Latent MABsJeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor. [doi]
- Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)Zhenyu Zhu, Fanghui Liu 0001, Grigorios Chrysos 0002, Volkan Cevher. [doi]
- RORL: Robust Offline Reinforcement Learning via Conservative SmoothingRui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han. [doi]
- Locating and Editing Factual Associations in GPTKevin Meng, David Bau, Alex Andonian, Yonatan Belinkov. [doi]
- Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit FeedbackYan Dai 0002, Haipeng Luo, Liyu Chen. [doi]
- BILCO: An Efficient Algorithm for Joint Alignment of Time SeriesXuelong Mi, Mengfan Wang, Alex Chen, Jing-Xuan Lim, Yizhi Wang, Misha B. Ahrens, Guoqiang Yu. [doi]
- Curious Exploration via Structured World Models Yields Zero-Shot Object ManipulationCansu Sancaktar, Sebastian Blaes, Georg Martius. [doi]
- VITA: Video Instance Segmentation via Object Token AssociationMiran Heo, Sukjun Hwang, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim. [doi]
- Harmonizing the object recognition strategies of deep neural networks with humansThomas Fel, Ivan F. Rodriguez Rodriguez, Drew Linsley, Thomas Serre. [doi]
- LAMP: Extracting Text from Gradients with Language Model PriorsMislav Balunovic, Dimitar I. Dimitrov, Nikola Jovanovic 0001, Martin T. Vechev. [doi]
- Beyond neural scaling laws: beating power law scaling via data pruningBen Sorscher, Robert Geirhos, Shashank Shekhar, Surya Ganguli, Ari Morcos. [doi]
- DevFly: Bio-Inspired Development of Binary Connections for Locality Preserving Sparse CodesTianqi Wei, Rana Alkhoury Maroun, Qinghai Guo, Barbara Webb. [doi]
- Exact Shape Correspondence via 2D graph convolutionBarakeel Fanseu Kamhoua, Lin Zhang, Yongqiang Chen 0002, Han Yang 0002, Kaili Ma 0001, Bo Han 0003, Bo Li 0001, James Cheng. [doi]
- Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal EnvironmentsHugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani. [doi]
- Understanding the Generalization Benefit of Normalization Layers: Sharpness ReductionKaifeng Lyu, Zhiyuan Li 0005, Sanjeev Arora. [doi]
- Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action SegmentationZiwei Xu 0001, Yogesh S. Rawat, Yongkang Wong, Mohan S. Kankanhalli, Mubarak Shah. [doi]
- A simple but strong baseline for online continual learning: Repeated Augmented RehearsalYaqian Zhang, Bernhard Pfahringer, Eibe Frank, Albert Bifet, Nick Jin Sean Lim, Yunzhe Jia. [doi]
- The trade-offs of model size in large recommendation models : 100GB to 10MB Criteo-tb DLRM modelAditya Desai, Anshumali Shrivastava. [doi]
- Posterior Matching for Arbitrary ConditioningRyan R. Strauss, Junier B. Oliva. [doi]
- Minimax Optimal Fixed-Budget Best Arm Identification in Linear BanditsJunwen Yang, Vincent Y. F. Tan. [doi]
- Tsetlin Machine for Solving Contextual Bandit ProblemsRaihan Seraj, Jivitesh Sharma, Ole-Christoffer Granmo. [doi]
- FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial LearningTao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Hao Liao, Zhongliang Yang, Yongfeng Huang, Xing Xie. [doi]
- GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain Text-to-SpeechRongjie Huang, Yi Ren 0006, Jinglin Liu, Chenye Cui, Zhou Zhao. [doi]
- Distributionally Robust Optimization with Data GeometryJiashuo Liu, Jiayun Wu, Bo Li 0064, Peng Cui 0001. [doi]
- Self-Aware Personalized Federated LearningHuili Chen, Jie Ding, Eric W. Tramel, Shuang Wu, Anit Kumar Sahu, Salman Avestimehr, Tao Zhang. [doi]
- Learning low-dimensional generalizable natural features from retina using a U-netSiwei Wang, Benjamin Hoshal, Elizabeth de Laittre, Thierry Mora, Michael Berry, Stephanie E. Palmer. [doi]
- On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and BeyondXiaotong Yuan, Ping Li 0001. [doi]
- Black-box coreset variational inferenceDionysis Manousakas, Hippolyt Ritter, Theofanis Karaletsos. [doi]
- Data-Driven Offline Decision-Making via Invariant Representation LearningHan Qi, Yi Su, Aviral Kumar, Sergey Levine. [doi]
- A Simple Approach to Automated Spectral ClusteringJicong Fan, Yiheng Tu, Zhao Zhang 0001, Mingbo Zhao, Haijun Zhang 0002. [doi]
- AnimeRun: 2D Animation Visual Correspondence from Open Source 3D MoviesSiyao Li, Yuhang Li, Bo Li, Chao Dong, Ziwei Liu 0002, Chen Change Loy. [doi]
- Data-Efficient Augmentation for Training Neural NetworksTian-Yu Liu, Baharan Mirzasoleiman. [doi]
- Towards Improving Faithfulness in Abstractive SummarizationXiuying Chen, Mingzhe Li, Xin Gao 0001, Xiangliang Zhang 0001. [doi]
- Weakly-Supervised Multi-Granularity Map Learning for Vision-and-Language NavigationPeihao Chen, Dongyu Ji, Kunyang Lin, Runhao Zeng, Thomas H. Li, Mingkui Tan, Chuang Gan. [doi]
- Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional NetworksRenan A. Rojas-Gomez, Teck-Yian Lim, Alexander G. Schwing, Minh N. Do, Raymond A. Yeh. [doi]
- AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image SegmentationYuanfeng Ji, Haotian Bai, Chongjian Ge, Jie Yang, Ye Zhu, Ruimao Zhang, Zhen Li, Lingyan Zhang, Wanling Ma, Xiang Wan, Ping Luo 0002. [doi]
- An Analysis of Ensemble SamplingChao Qin, Zheng Wen, Xiuyuan Lu, Benjamin Van Roy. [doi]
- Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement LearningHua Wei 0001, Jingxiao Chen, Xiyang Ji, Hongyang Qin, Minwen Deng, Siqin Li, Liang Wang 0015, Weinan Zhang 0001, Yong Yu 0001, Liu Lin, Lanxiao Huang, Deheng Ye, Qiang Fu, Wei Yang 0032. [doi]
- Pruning has a disparate impact on model accuracyCuong Tran 0007, Ferdinando Fioretto, Jung-Eun Kim, Rakshit Naidu. [doi]
- Optimal Transport of Classifiers to FairnessMaarten Buyl, Tijl De Bie. [doi]
- Parametrically Retargetable Decision-Makers Tend To Seek PowerAlexander Matt Turner, Prasad Tadepalli. [doi]
- Efficient Multi-agent Communication via Self-supervised Information AggregationCong Guan, Feng Chen, Lei Yuan, Chenghe Wang, Hao Yin, Zongzhang Zhang, Yang Yu 0001. [doi]
- Error Analysis of Tensor-Train Cross ApproximationZhen Qin, Alexander Lidiak, Zhexuan Gong, Gongguo Tang, Michael B. Wakin, Zhihui Zhu. [doi]
- Self-Explaining Deviations for CoordinationHengyuan Hu, Samuel Sokota, David J. Wu 0002, Anton Bakhtin, Andrei Lupu, Brandon Cui, Jakob N. Foerster. [doi]
- DiSC: Differential Spectral Clustering of FeaturesSristi Ram Dyuthi, Gal Mishne, Ariel Jaffe. [doi]
- On Margin Maximization in Linear and ReLU NetworksGal Vardi, Ohad Shamir, Nati Srebro. [doi]
- Dict-TTS: Learning to Pronounce with Prior Dictionary Knowledge for Text-to-SpeechZiyue Jiang, Su Zhe, Zhou Zhao, Qian Yang, Yi Ren 0006, Jinglin Liu. [doi]
- UDC: Unified DNAS for Compressible TinyML Models for Neural Processing UnitsIgor Fedorov, Ramon Matas Navarro, Hokchhay Tann, Chuteng Zhou, Matthew Mattina, Paul N. Whatmough. [doi]
- Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics BeliefKaiyang Guo, Yunfeng Shao, Yanhui Geng. [doi]
- IM-Loss: Information Maximization Loss for Spiking Neural NetworksYufei Guo, Yuanpei Chen, Liwen Zhang, Xiaode Liu, Yinglei Wang, Xuhui Huang, Zhe Ma. [doi]
- On the Identifiability of Nonlinear ICA: Sparsity and BeyondYujia Zheng, Ignavier Ng, Kun Zhang 0001. [doi]
- Understanding Hyperdimensional Computing for Parallel Single-Pass LearningTao Yu, Yichi Zhang, Zhiru Zhang, Christopher De Sa. [doi]
- IMED-RL: Regret optimal learning of ergodic Markov decision processesFabien Pesquerel, Odalric-Ambrym Maillard. [doi]
- Causality-driven Hierarchical Structure Discovery for Reinforcement LearningShaohui Peng, Xing Hu 0001, Rui Zhang 0040, Ke Tang 0001, Jiaming Guo, Qi Yi, Ruizhi Chen, Xishan Zhang, Zidong Du, Ling Li 0001, Qi Guo 0001, Yunji Chen. [doi]
- Experimental Design for Linear Functionals in Reproducing Kernel Hilbert SpacesMojmir Mutny, Andreas Krause 0001. [doi]
- Sample Complexity of Learning Heuristic Functions for Greedy-Best-First and A* SearchShinsaku Sakaue, Taihei Oki. [doi]
- A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensionsDamek Davis, Dmitriy Drusvyatskiy, Yin Tat Lee, Swati Padmanabhan, Guanghao Ye. [doi]
- Invariance Learning in Deep Neural Networks with Differentiable Laplace ApproximationsAlexander Immer, Tycho F. A. van der Ouderaa, Gunnar Rätsch, Vincent Fortuin, Mark van der Wilk. [doi]
- Learning from a Sample in Online AlgorithmsC. J. Argue, Alan M. Frieze, Anupam Gupta 0001, Christopher Seiler. [doi]
- Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function PerspectiveBohang Zhang, Du Jiang, Di He, Liwei Wang 0001. [doi]
- Isometric 3D Adversarial Examples in the Physical WorldYibo Miao, Yinpeng Dong, Jun Zhu 0001, Xiao-Shan Gao. [doi]
- Score-Based Generative Models Detect ManifoldsJakiw Pidstrigach. [doi]
- Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex OptimizationIdan Amir, Roi Livni, Nati Srebro. [doi]
- The Role of Baselines in Policy Gradient OptimizationJincheng Mei, Wesley Chung, Valentin Thomas, Bo Dai, Csaba Szepesvári, Dale Schuurmans. [doi]
- Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive PowerBinghui Li, Jikai Jin, Han Zhong, John E. Hopcroft, Liwei Wang. [doi]
- Learning to Share in Networked Multi-Agent Reinforcement LearningYuxuan Yi, Ge Li 0002, Yaowei Wang, Zongqing Lu. [doi]
- Towards Safe Reinforcement Learning with a Safety Editor PolicyHaonan Yu, Wei Xu 0017, Haichao Zhang. [doi]
- A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback GraphsChloé Rouyer, Dirk van der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin. [doi]
- Learning in Observable POMDPs, without Computationally Intractable OraclesNoah Golowich, Ankur Moitra, Dhruv Rohatgi. [doi]
- HierSpeech: Bridging the Gap between Text and Speech by Hierarchical Variational Inference using Self-supervised Representations for Speech SynthesisSang-Hoon Lee, Seung-bin Kim, Ji-Hyun Lee, Eunwoo Song, Min-Jae Hwang, Seong-Whan Lee. [doi]
- Learning Mixed Multinomial Logits with Provable GuaranteesYiqun Hu, David Simchi-Levi, Zhenzhen Yan. [doi]
- Towards Video Text Visual Question Answering: Benchmark and BaselineMinyi Zhao, Bingjia Li, Jie Wang, Wanqing Li, Wenjing Zhou, Lan Zhang, Shijie Xuyang, Zhihang Yu, Xinkun Yu, Guangze Li, Aobotao Dai, Shuigeng Zhou. [doi]
- Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked SystemsMiguel Suau, Jinke He, Mustafa Mert Çelikok, Matthijs T. J. Spaan, Frans A. Oliehoek. [doi]
- Non-deep NetworksAnkit Goyal, Alexey Bochkovskiy, Jia Deng 0001, Vladlen Koltun. [doi]
- Polynomial time guarantees for the Burer-Monteiro methodDiego Cifuentes, Ankur Moitra. [doi]
- A Projection-free Algorithm for Constrained Stochastic Multi-level Composition OptimizationTesi Xiao, Krishnakumar Balasubramanian 0002, Saeed Ghadimi. [doi]
- Exploring Length Generalization in Large Language ModelsCem Anil, Yuhuai Wu, Anders Andreassen, Aitor Lewkowycz, Vedant Misra, Vinay V. Ramasesh, Ambrose Slone, Guy Gur-Ari, Ethan Dyer, Behnam Neyshabur. [doi]
- Learning General World Models in a Handful of Reward-Free DeploymentsYingchen Xu, Jack Parker-Holder, Aldo Pacchiano, Philip J. Ball, Oleh Rybkin, Stephen Roberts 0001, Tim Rocktäschel, Edward Grefenstette. [doi]
- A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation LearningSeunghyuk Cho, Juyong Lee, Jaesik Park, Dongwoo Kim. [doi]
- Cross-modal Learning for Image-Guided Point Cloud Shape CompletionEmanuele Aiello, Diego Valsesia, Enrico Magli. [doi]
- Elucidating the Design Space of Diffusion-Based Generative ModelsTero Karras, Miika Aittala, Timo Aila, Samuli Laine. [doi]
- Self-Similarity Priors: Neural Collages as Differentiable Fractal RepresentationsMichael Poli, Winnie Xu, Stefano Massaroli, Chenlin Meng, Kuno Kim, Stefano Ermon. [doi]
- Robust Testing in High-Dimensional Sparse ModelsAnand Jerry George, Clément L. Canonne. [doi]
- Near-Optimal Multi-Agent Learning for Safe Coverage ControlManish Prajapat, Matteo Turchetta, Melanie N. Zeilinger, Andreas Krause 0001. [doi]
- GAL: Gradient Assisted Learning for Decentralized Multi-Organization CollaborationsEnmao Diao, Jie Ding 0002, Vahid Tarokh. [doi]
- Revisit last-iterate convergence of mSGD under milder requirement on step sizeRuinan Jin, Xingkang He, Lang Chen, Difei Cheng, Vijay Gupta. [doi]
- DreamShard: Generalizable Embedding Table Placement for Recommender SystemsDaochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu. [doi]
- Coresets for Relational Data and The ApplicationsJiaxiang Chen, Qingyuan Yang, Ruomin Huang, Hu Ding. [doi]
- GhostNetV2: Enhance Cheap Operation with Long-Range AttentionYehui Tang, Kai Han 0002, Jianyuan Guo, Chang Xu 0002, Chao Xu 0006, Yunhe Wang 0001. [doi]
- Byzantine Spectral RankingArnhav Datar, Arun Rajkumar, John Augustine. [doi]
- Exact learning dynamics of deep linear networks with prior knowledgeLukas Braun, Clémentine Dominé, James FitzGerald, Andrew Saxe. [doi]
- Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNsCristian Bodnar, Francesco Di Giovanni, Benjamin Paul Chamberlain, Pietro Lió, Michael M. Bronstein. [doi]
- Stimulative Training of Residual Networks: A Social Psychology Perspective of LoafingPeng Ye, Shengji Tang, Baopu Li, Tao Chen, Wanli Ouyang. [doi]
- Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued InterventionsAndrew Jesson, Alyson Douglas, Peter Manshausen, Maëlys Solal, Nicolai Meinshausen, Philip Stier, Yarin Gal, Uri Shalit. [doi]
- Multi-Fidelity Best-Arm IdentificationRiccardo Poiani, Alberto Maria Metelli, Marcello Restelli. [doi]
- An efficient graph generative model for navigating ultra-large combinatorial synthesis librariesAryan Pedawi, Pawel Gniewek, Chaoyi Chang, Brandon M. Anderson, Henry van den Bedem. [doi]
- In Defense of the Unitary Scalarization for Deep Multi-Task LearningVitaly Kurin, Alessandro De Palma, Ilya Kostrikov, Shimon Whiteson, Pawan Kumar Mudigonda. [doi]
- Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict ComplementarityRon Fisher 0003, Dan Garber. [doi]
- Benchopt: Reproducible, efficient and collaborative optimization benchmarksThomas Moreau 0001, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupré la Tour, Ghislain Durif, Cássio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoît Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter. [doi]
- Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning AlgorithmsJiechao Guan, Yong Liu 0018, Zhiwu Lu 0001. [doi]
- The price of unfairness in linear bandits with biased feedbackSolenne Gaucher, Alexandra Carpentier, Christophe Giraud 0002. [doi]
- Generative Status Estimation and Information Decoupling for Image Rain RemovalDi Lin, Xin Wang, Jia Shen, Renjie Zhang, Ruonan Liu, Miaohui Wang, Wuyuan Xie, Qing Guo 0005, Ping Li 0016. [doi]
- Receding Horizon Inverse Reinforcement LearningYiqing Xu, Wei Gao, David Hsu. [doi]
- DART: Articulated Hand Model with Diverse Accessories and Rich TexturesDaiheng Gao, Yuliang Xiu, Kailin Li 0001, Lixin Yang 0001, Feng Wang, Peng Zhang, Bang Zhang, Cewu Lu, Ping Tan. [doi]
- Zero-Shot Video Question Answering via Frozen Bidirectional Language ModelsAntoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid. [doi]
- Representing Spatial Trajectories as DistributionsDídac Surís, Carl Vondrick. [doi]
- SurDis: A Surface Discontinuity Dataset for Wearable Technology to Assist Blind Navigation in Urban EnvironmentsKuan Yew Leong, Siew Mooi Lim. [doi]
- Scalable Representation Learning in Linear Contextual Bandits with Constant Regret GuaranteesAndrea Tirinzoni, Matteo Papini, Ahmed Touati, Alessandro Lazaric, Matteo Pirotta. [doi]
- A time-resolved theory of information encoding in recurrent neural networksRainer Engelken, Sven Goedeke. [doi]
- Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting ModelsFan Liu, Hao Liu, Wenzhao Jiang. [doi]
- Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order MethodsKimon Antonakopoulos, Ali Kavis, Volkan Cevher. [doi]
- Pure Transformers are Powerful Graph LearnersJinwoo Kim, Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong. [doi]
- AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly DetectionMarius Dragoi, Elena Burceanu, Emanuela Haller, Andrei Manolache, Florin Brad. [doi]
- Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion PerspectiveJiadong Liang, Yuze Han, Xiang Li 0050, Zhihua Zhang. [doi]
- On the Robustness of Deep Clustering Models: Adversarial Attacks and DefensesAnshuman Chhabra, Ashwin Sekhari, Prasant Mohapatra. [doi]
- A Continuous Time Framework for Discrete Denoising ModelsAndrew Campbell, Joe Benton, Valentin De Bortoli, Thomas Rainforth, George Deligiannidis, Arnaud Doucet. [doi]
- Fine-tuning Language Models over Slow Networks using Activation Quantization with GuaranteesJue Wang, Binhang Yuan, Luka Rimanic, Yongjun He, Tri Dao, Beidi Chen, Christopher Ré, Ce Zhang 0001. [doi]
- Pruning's Effect on Generalization Through the Lens of Training and RegularizationTian Jin, Michael Carbin, Daniel M. Roy 0001, Jonathan Frankle, Gintare Karolina Dziugaite. [doi]
- Rapid Model Architecture Adaption for Meta-LearningYiren Zhao, Xitong Gao, Ilia Shumailov, Nicolò Fusi, Robert D. Mullins. [doi]
- Semantic uncertainty intervals for disentangled latent spacesSwami Sankaranarayanan, Anastasios Angelopoulos, Stephen Bates, Yaniv Romano, Phillip Isola. [doi]
- All Politics is Local: Redistricting via Local FairnessShao-Heng Ko, Erin Taylor 0002, Pankaj K. Agarwal, Kamesh Munagala. [doi]
- The Hessian Screening RuleJohan Larsson 0002, Jonas Wallin. [doi]
- Memory Efficient Continual Learning with TransformersBeyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cédric Archambeau. [doi]
- Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterizationSimone Bombari, Mohammad Hossein Amani, Marco Mondelli. [doi]
- High-dimensional Additive Gaussian Processes under Monotonicity ConstraintsAndrés F. López-Lopera, François Bachoc, Olivier Roustant. [doi]
- EcoFormer: Energy-Saving Attention with Linear ComplexityJing Liu 0048, Zizheng Pan, Haoyu He, Jianfei Cai 0001, Bohan Zhuang. [doi]
- Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on GroupsSho Sonoda, Isao Ishikawa, Masahiro Ikeda. [doi]
- M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-designHanxue Liang, Zhiwen Fan, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng 0001, Cong Hao, Zhangyang Wang. [doi]
- CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with DemonstrationsKai Yan, Alexander G. Schwing, Yu-Xiong Wang. [doi]
- RankFeat: Rank-1 Feature Removal for Out-of-distribution DetectionYue Song, Nicu Sebe, Wei Wang 0108. [doi]
- Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein StructuresShitong Luo, Yufeng Su, Xingang Peng, Sheng Wang, Jian Peng 0001, Jianzhu Ma. [doi]
- Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel RecombinationMasaki Adachi, Satoshi Hayakawa, Martin Jørgensen, Harald Oberhauser, Michael A. Osborne. [doi]
- Increasing Confidence in Adversarial Robustness EvaluationsRoland S. Zimmermann, Wieland Brendel, Florian Tramèr, Nicholas Carlini. [doi]
- OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histologyCheng Jiang 0003, Asadur Chowdury, Xinhai Hou, Akhil Kondepudi, Christian W. Freudiger, Kyle Conway, Sandra Camelo-Piragua, Daniel A. Orringer, Honglak Lee, Todd C. Hollon. [doi]
- Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy LossJason M. Altschuler, Kunal Talwar. [doi]
- Does Momentum Change the Implicit Regularization on Separable Data?Bohan Wang, Qi Meng, Huishuai Zhang, Ruoyu Sun, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu. [doi]
- Learning Contrastive Embedding in Low-Dimensional SpaceShuo Chen 0003, Chen Gong 0002, Jun Li 0027, Jian Yang 0003, Gang Niu 0001, Masashi Sugiyama. [doi]
- Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPsYeoneung Kim, Insoon Yang, Kwang-Sung Jun. [doi]
- Uncertainty Estimation Using Riemannian Model Dynamics for Offline Reinforcement LearningGuy Tennenholtz, Shie Mannor. [doi]
- ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference TimeTailin Wu, Megan Tjandrasuwita, Zhengxuan Wu, Xuelin Yang, Kevin Liu, Rok Sosic, Jure Leskovec. [doi]
- Semantic Diffusion Network for Semantic SegmentationHaoru Tan, Sitong Wu, Jimin Pi. [doi]
- Make Some Noise: Reliable and Efficient Single-Step Adversarial TrainingPau de Jorge Aranda, Adel Bibi, Riccardo Volpi, Amartya Sanyal, Philip H. S. Torr, Grégory Rogez, Puneet K. Dokania. [doi]
- High-Order Pooling for Graph Neural Networks with Tensor DecompositionChenqing Hua, Guillaume Rabusseau, Jian Tang. [doi]
- Fairness without Demographics through Knowledge DistillationJunyi Chai 0004, Taeuk Jang, Xiaoqian Wang 0001. [doi]
- Sym-NCO: Leveraging Symmetricity for Neural Combinatorial OptimizationMinsu Kim, Junyoung Park, Jinkyoo Park. [doi]
- Optimal Query Complexities for Dynamic Trace EstimationDavid P. Woodruff, Fred Zhang, Richard Zhang 0003. [doi]
- Training stochastic stabilized supralinear networks by dynamics-neutral growthWayne Soo, Máté Lengyel. [doi]
- Bridging the Gap: Unifying the Training and Evaluation of Neural Network Binary ClassifiersNathan Tsoi, Kate Candon, Deyuan Li, Yofti Milkessa, Marynel Vázquez. [doi]
- Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise BonusQiwen Cui, Simon S. Du. [doi]
- Provably Efficient Reinforcement Learning in Partially Observable Dynamical SystemsMasatoshi Uehara, Ayush Sekhari, Jason D. Lee, Nathan Kallus, Wen Sun 0002. [doi]
- CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View CompletionPhilippe Weinzaepfel, Vincent Leroy 0003, Thomas Lucas, Romain Brégier, Yohann Cabon, Vaibhav Arora, Leonid Antsfeld, Boris Chidlovskii, Gabriela Csurka, Jérôme Revaud. [doi]
- A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated LearningZhaomin Wu, Qinbin Li, Bingsheng He. [doi]
- Efficient Knowledge Distillation from Model CheckpointsChaofei Wang, Qisen Yang, Rui Huang, Shiji Song, Gao Huang. [doi]
- Incorporating Bias-aware Margins into Contrastive Loss for Collaborative FilteringAn Zhang 0003, Wenchang Ma, Xiang Wang 0010, Tat-Seng Chua. [doi]
- Learning dynamics of deep linear networks with multiple pathwaysJianghong Shi, Eric Shea-Brown, Michael A. Buice. [doi]
- Algorithms with Prediction PortfoliosMichael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Sergei Vassilvitskii. [doi]
- Data-Driven Conditional Robust OptimizationAbhilash Reddy Chenreddy, Nymisha Bandi, Erick Delage. [doi]
- Generalization Bounds for Gradient Methods via Discrete and Continuous PriorXuanyuan Luo, Bei Luo, Jian Li. [doi]
- Panchromatic and Multispectral Image Fusion via Alternating Reverse Filtering NetworkKeyu Yan, Man Zhou, Jie Huang 0017, Feng Zhao 0004, Chengjun Xie, Chongyi Li, Danfeng Hong. [doi]
- Data Augmentation for Compositional Data: Advancing Predictive Models of the MicrobiomeElliott Gordon-Rodríguez, Thomas P. Quinn, John P. Cunningham. [doi]
- Domain Generalization without Excess Empirical RiskOzan Sener, Vladlen Koltun. [doi]
- Delving into Sequential Patches for Deepfake DetectionJiazhi Guan, Hang Zhou, Zhibin Hong, Errui Ding, Jingdong Wang 0001, Chengbin Quan, Youjian Zhao. [doi]
- Geometric Knowledge Distillation: Topology Compression for Graph Neural NetworksChenxiao Yang, Qitian Wu, Junchi Yan. [doi]
- NCP: Neural Correspondence Prior for Effective Unsupervised Shape MatchingSouhaib Attaiki, Maks Ovsjanikov. [doi]
- Multi-modal Grouping Network for Weakly-Supervised Audio-Visual Video ParsingShentong Mo, Yapeng Tian. [doi]
- WebShop: Towards Scalable Real-World Web Interaction with Grounded Language AgentsShunyu Yao, Howard Chen 0003, John Yang, Karthik Narasimhan. [doi]
- A Communication-efficient Algorithm with Linear Convergence for Federated Minimax LearningZhenyu Sun, Ermin Wei. [doi]
- Symmetry-induced Disentanglement on GraphsGiangiacomo Mercatali, André Freitas, Vikas Garg. [doi]
- Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online VideosBowen Baker, Ilge Akkaya, Peter Zhokov, Joost Huizinga, Jie Tang, Adrien Ecoffet, Brandon Houghton, Raul Sampedro, Jeff Clune. [doi]
- Product Ranking for Revenue Maximization with Multiple PurchasesRenzhe Xu, Xingxuan Zhang, Bo Li 0064, Yafeng Zhang, Xiaolong Chen, Peng Cui 0001. [doi]
- ATD: Augmenting CP Tensor Decomposition by Self SupervisionChaoqi Yang, Cheng Qian 0001, Navjot Singh, Cao (Danica) Xiao, M. Brandon Westover, Edgar Solomonik, Jimeng Sun 0001. [doi]
- On the convergence of policy gradient methods to Nash equilibria in general stochastic gamesAngeliki Giannou, Kyriakos Lotidis, Panayotis Mertikopoulos, Emmanouil-Vasileios Vlatakis-Gkaragkounis. [doi]
- CS-Shapley: Class-wise Shapley Values for Data Valuation in ClassificationStephanie Schoch, Haifeng Xu, Yangfeng Ji. [doi]
- Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary LossesYuzhou Cao, Tianchi Cai, Lei Feng 0006, Lihong Gu, Jinjie Gu, Bo An 0001, Gang Niu 0001, Masashi Sugiyama. [doi]
- Lifting Weak Supervision To Structured PredictionHarit Vishwakarma, Frederic Sala. [doi]
- Relational Proxies: Emergent Relationships as Fine-Grained DiscriminatorsAbhra Chaudhuri, Massimiliano Mancini, Zeynep Akata, Anjan Dutta 0001. [doi]
- Distinguishing Learning Rules with Brain Machine InterfacesJacob P. Portes, Christian Schmid, James M. Murray. [doi]
- Tracking Functional Changes in Nonstationary Signals with Evolutionary Ensemble Bayesian Model for Robust Neural DecodingXinyun Zhu, Yu Qi, Gang Pan 0001, Yueming Wang. [doi]
- Staggered Rollout Designs Enable Causal Inference Under Interference Without Network KnowledgeMayleen Cortez, Matthew Eichhorn, Christina Lee Yu. [doi]
- Understanding Benign Overfitting in Gradient-Based Meta LearningLisha Chen, Songtao Lu, Tianyi Chen. [doi]
- Emergent Communication: Generalization and Overfitting in Lewis GamesMathieu Rita, Corentin Tallec, Paul Michel, Jean-Bastien grill, Olivier Pietquin, Emmanuel Dupoux, Florian Strub. [doi]
- Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net StudyYongtao Wu, Zhenyu Zhu, Fanghui Liu 0001, Grigorios Chrysos 0002, Volkan Cevher. [doi]
- Fast Neural Kernel Embeddings for General ActivationsInsu Han, Amir Zandieh, Jaehoon Lee, Roman Novak, Lechao Xiao, Amin Karbasi. [doi]
- CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement LearningHung Le, Yue Wang 0034, Akhilesh Deepak Gotmare, Silvio Savarese, Steven Chu Hong Hoi. [doi]
- Exploration via Planning for Information about the Optimal TrajectoryViraj Mehta, Ian Char, Joseph Abbate, Rory Conlin, Mark D. Boyer, Stefano Ermon, Jeff Schneider 0001, Willie Neiswanger. [doi]
- VTC-LFC: Vision Transformer Compression with Low-Frequency ComponentsZhenyu Wang, Hao Luo, Pichao Wang, Feng Ding, Fan Wang, Hao Li. [doi]
- Approximate Secular Equations for the Cubic Regularization SubproblemYihang Gao, Man-Chung Yue, Michael Ng 0001. [doi]
- Decentralized, Communication- and Coordination-free Learning in Structured Matching MarketsChinmay Maheshwari, Shankar Sastry 0001, Eric Mazumdar. [doi]
- On the Epistemic Limits of Personalized PredictionLucas Monteiro Paes, Carol Long, Berk Ustun, Flávio P. Calmon. [doi]
- A Practical, Progressively-Expressive GNNLingxiao Zhao, Neil Shah, Leman Akoglu. [doi]
- FLAIR: Federated Learning Annotated Image RepositoryCongzheng Song, Filip Granqvist, Kunal Talwar. [doi]
- FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement LearningXiao-Yang Liu, Ziyi Xia, Jingyang Rui, Jiechao Gao, Hongyang Yang, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo. [doi]
- Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral AnalysisShayegan Omidshafiei, Andrei Kapishnikov, Yannick Assogba, Lucas Dixon, Been Kim. [doi]
- Transferring Pre-trained Multimodal Representations with Cross-modal Similarity MatchingByoungjip Kim, SungIk Choi, Dasol Hwang, Moontae Lee, Honglak Lee. [doi]
- How Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning?Chengxu Zhuang, Ziyu Xiang, Yoon Bai, Xiaoxuan Jia, Nicholas B. Turk-Browne, Kenneth A. Norman, James J. DiCarlo, Dan Yamins. [doi]
- Uncalibrated Models Can Improve Human-AI CollaborationKailas Vodrahalli, Tobias Gerstenberg, James Y. Zou. [doi]
- Recipe for a General, Powerful, Scalable Graph TransformerLadislav Rampásek, Michael Galkin, Vijay Prakash Dwivedi, Anh Tuan Luu, Guy Wolf, Dominique Beaini. [doi]
- When are Offline Two-Player Zero-Sum Markov Games Solvable?Qiwen Cui, Simon S. Du. [doi]
- Optimal Weak to Strong LearningKasper Green Larsen, Martin Ritzert. [doi]
- Scalable and Efficient Training of Large Convolutional Neural Networks with Differential PrivacyZhiqi Bu, Jialin Mao, Shiyun Xu. [doi]
- Learning Individualized Treatment Rules with Many Treatments: A Supervised Clustering Approach Using Adaptive FusionHaixu Ma, Donglin Zeng, Yufeng Liu. [doi]
- Myriad: a real-world testbed to bridge trajectory optimization and deep learningNikolaus H. R. Howe, Simon Dufort-Labbé, Nitarshan Rajkumar, Pierre-Luc Bacon. [doi]
- Efficient Frameworks for Generalized Low-Rank Matrix Bandit ProblemsYue Kang, Cho-Jui Hsieh, Thomas Chun Man Lee. [doi]
- Pruning Neural Networks via Coresets and Convex Geometry: Towards No AssumptionsMurad Tukan, Loay Mualem, Alaa Maalouf. [doi]
- Online PAC-Bayes LearningMaxime Haddouche, Benjamin Guedj. [doi]
- Reconstructing Training Data From Trained Neural NetworksNiv Haim, Gal Vardi, Gilad Yehudai, Ohad Shamir, Michal Irani. [doi]
- Zero-Sum Stochastic Stackelberg GamesDenizalp Goktas, Sadie Zhao, Amy Greenwald. [doi]
- FlyView: a bio-informed optical flow truth dataset for visual navigation using panoramic stereo visionAlix Leroy, Graham W. Taylor. [doi]
- ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial ViewpointsYinpeng Dong, Shouwei Ruan, Hang Su 0006, Caixin Kang, Xingxing Wei, Jun Zhu 0001. [doi]
- Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex OptimizationTianyi Lin, Zeyu Zheng, Michael I. Jordan. [doi]
- A Contrastive Framework for Neural Text GenerationYixuan Su, Tian Lan, Yan Wang, Dani Yogatama, Lingpeng Kong, Nigel Collier. [doi]
- Conformalized Fairness via Quantile RegressionMeichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang. [doi]
- Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time AdaptationHengguan Huang, Xiangming Gu, Hao Wang 0014, Chang Xiao, Hongfu Liu, Ye Wang. [doi]
- Queue Up Your Regrets: Achieving the Dynamic Capacity Region of Multiplayer BanditsIlai Bistritz, Nicholas Bambos. [doi]
- When Privacy Meets Partial Information: A Refined Analysis of Differentially Private BanditsAchraf Azize, Debabrota Basu. [doi]
- Private Set Generation with Discriminative InformationDingfan Chen, Raouf Kerkouche, Mario Fritz. [doi]
- Maximizing and Satisficing in Multi-armed Bandits with Graph InformationParth Thaker, Mohit Malu, Nikhil Rao 0001, Gautam Dasarathy. [doi]
- LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning TasksTuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos, Kangwook Lee 0001. [doi]
- Generative Time Series Forecasting with Diffusion, Denoise, and DisentanglementYan Li, Xinjiang Lu, Yaqing Wang, Dejing Dou. [doi]
- Learning to Accelerate Partial Differential Equations via Latent Global EvolutionTailin Wu, Takashi Maruyama, Jure Leskovec. [doi]
- Simple Mechanisms for Welfare Maximization in Rich Advertising AuctionsGagan Aggarwal, Kshipra Bhawalkar, Aranyak Mehta, Divyarthi Mohan, Alexandros Psomas 0001. [doi]
- Counterfactual Fairness with Partially Known Causal GraphAoqi Zuo, Susan Wei, Tongliang Liu, Bo Han 0003, Kun Zhang 0001, Mingming Gong. [doi]
- Continual Learning In Environments With Polynomial Mixing TimesMatthew Riemer, Sharath Chandra Raparthy, Ignacio Cases, Gopeshh Subbaraj, Maximilian Puelma Touzel, Irina Rish. [doi]
- Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution ShiftsNeeraj Wagh, Jionghao Wei, Samarth Rawal, Brent M. Berry, Yogatheesan Varatharajah. [doi]
- Asymptotic Properties for Bayesian Neural Network in Besov SpaceKyeongwon Lee, Jaeyong Lee. [doi]
- Contrastive Neural Ratio EstimationBenjamin Kurt Miller, Christoph Weniger, Patrick Forré. [doi]
- Boosting Barely Robust Learners: A New Perspective on Adversarial RobustnessAvrim Blum, Omar Montasser, Greg Shakhnarovich, Hongyang Zhang 0001. [doi]
- Thompson Sampling Efficiently Learns to Control Diffusion ProcessesMohamad Kazem Shirani Faradonbeh, Mohamad Sadegh Shirani Faradonbeh, Mohsen Bayati. [doi]
- Differentially Private Learning Needs Hidden State (Or Much Faster Convergence)Jiayuan Ye 0001, Reza Shokri. [doi]
- Self-Supervised Fair Representation Learning without DemographicsJunyi Chai, Xiaoqian Wang. [doi]
- Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk MinimizationJonathan Wilton, Abigail M. Y. Koay, Ryan Ko, Miao Xu, Nan Ye. [doi]
- Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural NetworksYijing Liu, Qinxian Liu, Jian-Wei Zhang, Haozhe Feng, Zhongwei Wang, Zihan Zhou 0009, Wei Chen 0001. [doi]
- Graph Coloring via Neural Networks for Haplotype Assembly and Viral Quasispecies ReconstructionHansheng Xue, Vaibhav Rajan, Yu Lin 0001. [doi]
- Distributionally Robust Optimization via Ball Oracle AccelerationYair Carmon, Danielle Hausler. [doi]
- PDSketch: Integrated Domain Programming, Learning, and PlanningJiayuan Mao, Tomás Lozano-Pérez, Josh Tenenbaum 0001, Leslie Pack Kaelbling. [doi]
- Is this the Right Neighborhood? Accurate and Query Efficient Model Agnostic ExplanationsAmit Dhurandhar, Karthikeyan Natesan Ramamurthy, Karthikeyan Shanmugam. [doi]
- The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate ShiftJingfeng Wu, Difan Zou, Vladimir Braverman, Quanquan Gu, Sham M. Kakade. [doi]
- AdaFocal: Calibration-aware Adaptive Focal LossArindam Ghosh, Thomas Schaaf, Matthew Gormley. [doi]
- Spending Thinking Time Wisely: Accelerating MCTS with Virtual ExpansionsWeirui Ye, Pieter Abbeel, Yang Gao. [doi]
- Object Scene Representation TransformerMehdi S. M. Sajjadi, Daniel Duckworth, Aravindh Mahendran, Sjoerd van Steenkiste, Filip Pavetic, Mario Lucic, Leonidas J. Guibas, Klaus Greff, Thomas Kipf. [doi]
- Rethinking the compositionality of point clouds through regularization in the hyperbolic spaceAntonio Montanaro, Diego Valsesia, Enrico Magli. [doi]
- Spectral Bias Outside the Training Set for Deep Networks in the Kernel RegimeBenjamin Bowman, Guido F. Montúfar. [doi]
- Touch and Go: Learning from Human-Collected Vision and TouchFengyu Yang, Chenyang Ma, Jiacheng Zhang, Jing Zhu, Wenzhen Yuan, Andrew Owens. [doi]
- Revisiting Injective Attacks on Recommender SystemsHaoyang Li, Shimin Di, Lei Chen 0002. [doi]
- Society of Agents: Regret Bounds of Concurrent Thompson SamplingYan Chen, Perry Dong, Qinxun Bai, Maria Dimakopoulou, Wei Xu, Zhengyuan Zhou. [doi]
- Egocentric Video-Language PretrainingKevin Qinghong Lin, Jinpeng Wang, Mattia Soldan, Michael Wray, Rui Yan, Eric Zhongcong Xu, Difei Gao, Rong-Cheng Tu, Wenzhe Zhao, Weijie Kong, Chengfei Cai, Hongfa Wang, Dima Damen, Bernard Ghanem, Wei Liu 0005, Mike Zheng Shou. [doi]
- Leveraging Inter-Layer Dependency for Post -Training QuantizationChangbao Wang, Dandan Zheng, Yuanliu Liu, Liang Li. [doi]
- A Unifying Framework of Off-Policy General Value Function EvaluationTengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang. [doi]
- Guaranteed Conservation of Momentum for Learning Particle-based Fluid DynamicsLukas Prantl, Benjamin Ummenhofer, Vladlen Koltun, Nils Thuerey. [doi]
- Intermediate Prototype Mining Transformer for Few-Shot Semantic SegmentationYuanwei Liu, Nian Liu, Xiwen Yao, Junwei Han. [doi]
- Palm up: Playing in the Latent Manifold for Unsupervised PretrainingHao Liu, Tom Zahavy, Volodymyr Mnih, Satinder Singh 0001. [doi]
- Semi-Supervised Semantic Segmentation via Gentle Teaching AssistantYing Jin, Jiaqi Wang, Dahua Lin. [doi]
- A Conditional Randomization Test for Sparse Logistic Regression in High-DimensionBinh T. Nguyen, Bertrand Thirion, Sylvain Arlot. [doi]
- Group Meritocratic Fairness in Linear Contextual BanditsRiccardo Grazzi, Arya Akhavan, John Isak Texas Falk, Leonardo Cella, Massimiliano Pontil. [doi]
- Capturing Graphs with Hypo-Elliptic DiffusionsCsaba Tóth, Darrick Lee, Celia Hacker, Harald Oberhauser. [doi]
- Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax ProblemsPouria Mahdavinia, Yuyang Deng, Haochuan Li, Mehrdad Mahdavi. [doi]
- Robust $\phi$-Divergence MDPsChin Pang Ho, Marek Petrik, Wolfram Wiesemann. [doi]
- SeqPATE: Differentially Private Text Generation via Knowledge DistillationZhiliang Tian, Yingxiu Zhao, Ziyue Huang, Yu-Xiang Wang, Nevin L. Zhang, He He. [doi]
- Conformal Prediction with Temporal Quantile AdjustmentsZhen Lin, Shubhendu Trivedi, Jimeng Sun 0001. [doi]
- Cross-Image Context for Single Image InpaintingTingliang Feng, Wei Feng 0005, Weiqi Li, Di Lin. [doi]
- Distributional Reinforcement Learning for Risk-Sensitive PoliciesShiau Hong Lim, Ilyas Malik. [doi]
- Predicting Label Distribution from Multi-label RankingYunan Lu, Xiuyi Jia. [doi]
- Causal Inference with Non-IID Data using Linear Graphical ModelsChi Zhang 0016, Karthika Mohan, Judea Pearl. [doi]
- Neural Approximation of Graph Topological FeaturesZuoYu Yan, Tengfei Ma 0001, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen 0012. [doi]
- On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic ForgettingTomasz Korbak, Hady ElSahar, Germán Kruszewski, Marc Dymetman. [doi]
- Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse DataYusuke Tanaka 0002, Tomoharu Iwata, Naonori Ueda. [doi]
- The Mechanism of Prediction Head in Non-contrastive Self-supervised LearningZixin Wen, Yuanzhi Li. [doi]
- How Mask Matters: Towards Theoretical Understandings of Masked AutoencodersQi Zhang, Yifei Wang, Yisen Wang. [doi]
- Constants of motion networkMuhammad Firmansyah Kasim, Yi Heng Lim. [doi]
- Learning Generalizable Part-based Feature Representation for 3D Point CloudsXin Wei, Xiang Gu 0005, Jian Sun 0009. [doi]
- Autoinverse: Uncertainty Aware Inversion of Neural NetworksNavid Ansari, Hans-Peter Seidel, Nima Vahidi Ferdowsi, Vahid Babaei. [doi]
- Multiagent Q-learning with Sub-Team CoordinationWenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Matthew E. Taylor, Jun Luo 0009, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang 0012, Xiaotie Deng. [doi]
- Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace SubnetworkHaotao Wang, Junyuan Hong, Aston Zhang, Jiayu Zhou, Zhangyang Wang. [doi]
- Bayesian Active Learning with Fully Bayesian Gaussian ProcessesChristoffer Riis, Francisco Antunes, Frederik Boe Hüttel, Carlos Lima Azevedo, Francisco Pereira. [doi]
- Nearly-Tight Bounds for Testing Histogram DistributionsClément L. Canonne, Ilias Diakonikolas, Daniel Kane, Sihan Liu. [doi]
- Learning and Covering Sums of Independent Random Variables with Unbounded SupportAlkis Kalavasis, Konstantinos Stavropoulos, Emmanouil Zampetakis. [doi]
- Neural Lyapunov Control of Unknown Nonlinear Systems with Stability GuaranteesRuikun Zhou, Thanin Quartz, Hans De Sterck, Jun Liu. [doi]
- Density-driven Regularization for Out-of-distribution DetectionWenjian Huang, Hao Wang, Jiahao Xia, Chengyan Wang, Jianguo Zhang 0001. [doi]
- Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting MitigationYixiong Zou, Shanghang Zhang, Yuhua Li, Ruixuan Li. [doi]
- Structure-Aware Image Segmentation with Homotopy WarpingXiaoling Hu. [doi]
- Boosting Out-of-distribution Detection with Typical FeaturesYao Zhu, Yuefeng Chen, Chuanlong Xie, Xiaodan Li, Rong Zhang, Hui Xue 0001, Xiang Tian 0002, Bolun Zheng, Yaowu Chen. [doi]
- Value Function Decomposition for Iterative Design of Reinforcement Learning AgentsJames MacGlashan, Evan Archer, Alisa Devlic, Takuma Seno, Craig Sherstan, Peter R. Wurman, Peter Stone. [doi]
- Semi-Discrete Normalizing Flows through Differentiable TessellationRicky T. Q. Chen, Brandon Amos, Maximilian Nickel. [doi]
- LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language ModelHao Fei 0001, Shengqiong Wu, Jingye Li, Bobo Li, Fei Li, Libo Qin 0004, Meishan Zhang, Min Zhang, Tat-Seng Chua. [doi]
- Active Exploration for Inverse Reinforcement LearningDavid Lindner, Andreas Krause 0001, Giorgia Ramponi. [doi]
- VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-TrainingZhan Tong, Yibing Song, Jue Wang 0001, Limin Wang 0002. [doi]
- ZIN: When and How to Learn Invariance Without Environment Partition?Yong Lin, Shengyu Zhu 0001, Lu Tan, Peng Cui 0001. [doi]
- Learning Physical Dynamics with Subequivariant Graph Neural NetworksJiaqi Han, Wenbing Huang 0001, Hengbo Ma, Jiachen Li 0001, Josh Tenenbaum 0001, Chuang Gan. [doi]
- Fast Bayesian Estimation of Point Process Intensity as Function of CovariatesHideaki Kim, Taichi Asami, Hiroyuki Toda. [doi]
- Minimax Optimal Online Imitation Learning via Replay EstimationGokul Swamy, Nived Rajaraman, Matthew Peng, Sanjiban Choudhury, J. Andrew Bagnell, Steven Wu 0001, Jiantao Jiao, Kannan Ramchandran. [doi]
- Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural NetworksXingsi Dong, Zilong Ji, Tianhao Chu, Tiejun Huang 0001, Wenhao Zhang 0002, Si Wu 0001. [doi]
- Uncovering the Structural Fairness in Graph Contrastive LearningRuijia Wang, Xiao Wang 0017, Chuan Shi, Le Song. [doi]
- First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information MaximizationSiddharth Reddy, Sergey Levine, Anca D. Dragan. [doi]
- Using Partial Monotonicity in Submodular MaximizationLoay Mualem, Moran Feldman. [doi]
- Will Bilevel Optimizers Benefit from LoopsKaiyi Ji, Mingrui Liu, Yingbin Liang, Lei Ying. [doi]
- A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value ApproximationPhilip Amortila, Nan Jiang 0008, Dhruv Madeka, Dean P. Foster. [doi]
- Explainability Via Causal Self-TalkNicholas A. Roy, Junkyung Kim, Neil C. Rabinowitz. [doi]
- LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language ModelsMojan Javaheripi, Gustavo de Rosa, Subhabrata Mukherjee, Shital Shah, Tomasz Religa, Caio Cesar Teodoro Mendes, Sébastien Bubeck, Farinaz Koushanfar, Debadeepta Dey. [doi]
- Alternating Mirror Descent for Constrained Min-Max GamesAndre Wibisono, Molei Tao, Georgios Piliouras. [doi]
- Distilling Representations from GAN Generator via Squeeze and SpanYu Yang 0011, Xiaotian Cheng, Chang Liu 0030, Hakan Bilen, Xiangyang Ji. [doi]
- Sketching based Representations for Robust Image Classification with Provable GuaranteesNishanth Dikkala, Sankeerth Rao Karingula, Raghu Meka, Jelani Nelson, Rina Panigrahy, Xin Wang. [doi]
- FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model ExtractionSamiul Alam, Luyang Liu, Ming Yan, Mi Zhang. [doi]
- Beyond Not-Forgetting: Continual Learning with Backward Knowledge TransferSen Lin, Li Yang, Deliang Fan, Junshan Zhang. [doi]
- Deep Hierarchical Planning from PixelsDanijar Hafner, Kuang-Huei Lee, Ian Fischer, Pieter Abbeel. [doi]
- Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative ModelsChen Henry Wu, Saman Motamed, Shaunak Srivastava, Fernando De la Torre. [doi]
- Decentralized Local Stochastic Extra-Gradient for Variational InequalitiesAleksandr Beznosikov, Pavel E. Dvurechensky, Anastasia Koloskova, Valentin Samokhin, Sebastian U. Stich, Alexander V. Gasnikov. [doi]
- BiMLP: Compact Binary Architectures for Vision Multi-Layer PerceptronsYixing Xu, Xinghao Chen, Yunhe Wang. [doi]
- Support Recovery in Sparse PCA with Incomplete DataHanbyul Lee, Qifan Song, Jean Honorio. [doi]
- Unifying Voxel-based Representation with Transformer for 3D Object DetectionYanwei Li, Yilun Chen, Xiaojuan Qi, Zeming Li, Jian Sun 0001, Jiaya Jia. [doi]
- One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label EnhancementNing Xu 0009, Congyu Qiao, Jiaqi Lv, Xin Geng, Min-Ling Zhang. [doi]
- On the Convergence of Stochastic Multi-Objective Gradient Manipulation and BeyondShiji Zhou, Wenpeng Zhang, Jiyan Jiang, Wenliang Zhong, Jinjie Gu, Wenwu Zhu. [doi]
- 3DB: A Framework for Debugging Computer Vision ModelsGuillaume Leclerc, Hadi Salman, Andrew Ilyas, Sai Vemprala, Logan Engstrom, Vibhav Vineet, Kai Yuanqing Xiao, Pengchuan Zhang, Shibani Santurkar, Greg Yang, Ashish Kapoor, Aleksander Madry. [doi]
- Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight GuaranteesDaniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Rémi Munos, Alexey Naumov, Mark Rowland, Michal Valko, Pierre Ménard. [doi]
- Alignment-guided Temporal Attention for Video Action RecognitionYizhou Zhao, Zhenyang Li, Xun Guo, Yan Lu 0001. [doi]
- Differentiable hierarchical and surrogate gradient search for spiking neural networksKaiwei Che, Luziwei Leng, Kaixuan Zhang, Jianguo Zhang, Qinghu Meng, Jie Cheng, Qinghai Guo, Jianxing Liao. [doi]
- Decoupled Context Processing for Context Augmented Language ModelingZonglin Li, Ruiqi Guo, Sanjiv Kumar. [doi]
- Operator Splitting Value IterationAmin Rakhsha, Andrew Wang, Mohammad Ghavamzadeh, Amir Massoud Farahmand. [doi]
- Continual Learning with Evolving Class OntologiesZhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong. [doi]
- On the Complexity of Adversarial Decision MakingDylan J. Foster, Alexander Rakhlin, Ayush Sekhari, Karthik Sridharan. [doi]
- Regret Bounds for Risk-Sensitive Reinforcement LearningOsbert Bastani, Yecheng Jason Ma, Estelle Shen, Wanqiao Xu. [doi]
- CalFAT: Calibrated Federated Adversarial Training with Label SkewnessChen Chen, Yuchen Liu, Xingjun Ma, Lingjuan Lyu. [doi]
- Redundant representations help generalization in wide neural networksDiego Doimo, Aldo Glielmo, Sebastian Goldt, Alessandro Laio. [doi]
- Diffusion-LM Improves Controllable Text GenerationXiang Li, John Thickstun, Ishaan Gulrajani, Percy Liang, Tatsunori B. Hashimoto. [doi]
- Disentangling Transfer in Continual Reinforcement LearningMaciej Wolczyk, Michal Zajac 0005, Razvan Pascanu, Lukasz Kucinski, Piotr Milos. [doi]
- Revisiting Non-Parametric Matching Cost Volumes for Robust and Generalizable Stereo MatchingKelvin Cheng 0003, Tianfu Wu 0001, Christopher G. Healey. [doi]
- A new dataset for multilingual keyphrase generationFrédéric Piedboeuf, Philippe Langlais. [doi]
- Towards Out-of-Distribution Sequential Event Prediction: A Causal TreatmentChenxiao Yang, Qitian Wu, Qingsong Wen, Zhiqiang Zhou, Liang Sun 0001, Junchi Yan. [doi]
- Anonymized Histograms in Intermediate Privacy ModelsBadih Ghazi, Pritish Kamath, Ravi Kumar 0001, Pasin Manurangsi. [doi]
- Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample ComplexityAlekh Agarwal, Tong Zhang 0001. [doi]
- Adversarial Robustness is at Odds with Lazy TrainingYunjuan Wang, Enayat Ullah, Poorya Mianjy, Raman Arora. [doi]
- Bayesian Risk Markov Decision ProcessesYifan Lin, Yuxuan Ren, Enlu Zhou. [doi]
- Hierarchical Graph Transformer with Adaptive Node SamplingZaixi Zhang, Qi Liu 0003, Qingyong Hu, Chee-Kong Lee. [doi]
- TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent KernelsYaodong Yu, Alexander Wei 0001, Sai Praneeth Karimireddy, Yi Ma 0001, Michael I. Jordan. [doi]
- Efficient and Near-Optimal Smoothed Online Learning for Generalized Linear FunctionsAdam Block, Max Simchowitz. [doi]
- Vision Transformers provably learn spatial structureSamy Jelassi, Michael E. Sander, Yuanzhi Li. [doi]
- Saliency-Aware Neural Architecture SearchRamtin Hosseini, Pengtao Xie. [doi]
- Distributed Distributionally Robust Optimization with Non-Convex ObjectivesYang Jiao, Kai Yang 0001, Dongjin Song. [doi]
- Second Thoughts are Best: Learning to Re-Align With Human Values from Text EditsRuibo Liu, Chenyan Jia, Ge Zhang, Ziyu Zhuang, Tony X. Liu, Soroush Vosoughi. [doi]
- Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse SelectionJames Enouen, Yan Liu 0002. [doi]
- Planning to the Information Horizon of BAMDPs via Epistemic State AbstractionDilip Arumugam, Satinder Singh 0001. [doi]
- Convergence for score-based generative modeling with polynomial complexityHolden Lee, Jianfeng Lu 0001, Yixin Tan. [doi]
- A Comprehensive Study on Large-Scale Graph Training: Benchmarking and RethinkingKeyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang. [doi]
- EZNAS: Evolving Zero-Cost Proxies For Neural Architecture ScoringYash Akhauri, Juan Pablo Muñoz, Nilesh Jain, Ravi Iyer. [doi]
- Simple Unsupervised Object-Centric Learning for Complex and Naturalistic VideosGautam Singh, Yi-Fu Wu, Sungjin Ahn. [doi]
- FedSR: A Simple and Effective Domain Generalization Method for Federated LearningA. Tuan Nguyen, Philip H. S. Torr, Ser-Nam Lim. [doi]
- Geometric Order Learning for Rank EstimationSeon-Ho Lee, Nyeong-Ho Shin, Chang-Su Kim. [doi]
- An Algorithm for Learning Switched Linear Dynamics from DataGuillaume O. Berger, Monal Narasimhamurthy, Kandai Watanabe, Morteza Lahijanian, Sriram Sankaranarayanan 0001. [doi]
- Concentration of Data Encoding in Parameterized Quantum CircuitsGuangxi Li, Ruilin Ye, Xuanqiang Zhao, Xin Wang. [doi]
- Distributional Convergence of the Sliced Wasserstein ProcessJiaqi Xi, Jonathan Niles-Weed. [doi]
- Private Isotonic RegressionBadih Ghazi, Pritish Kamath, Ravi Kumar 0001, Pasin Manurangsi. [doi]
- Convergence beyond the over-parameterized regime using Rayleigh quotientsDavid A. R. Robin, Kevin Scaman, Marc Lelarge. [doi]
- Weakly supervised causal representation learningJohann Brehmer, Pim de Haan, Phillip Lippe, Taco S. Cohen. [doi]
- ConfounderGAN: Protecting Image Data Privacy with Causal ConfounderQi Tian 0001, Kun Kuang, Kelu Jiang, Furui Liu, Zhihua Wang, Fei Wu 0001. [doi]
- Neural Matching Fields: Implicit Representation of Matching Fields for Visual CorrespondenceSunghwan Hong, Jisu Nam, Seokju Cho, Susung Hong, Sangryul Jeon, Dongbo Min, Seungryong Kim. [doi]
- On global convergence of ResNets: From finite to infinite width using linear parameterizationRaphaël Barboni, Gabriel Peyré, François-Xavier Vialard. [doi]
- Learning Generalizable Models for Vehicle Routing Problems via Knowledge DistillationJieyi Bi, Yining Ma 0001, Jiahai Wang, Zhiguang Cao, Jinbiao Chen, Yuan Sun, Yeow Meng Chee. [doi]
- A Best-of-Both-Worlds Algorithm for Bandits with Delayed FeedbackSaeed Masoudian, Julian Zimmert, Yevgeny Seldin. [doi]
- Pre-Trained Model Reusability Evaluation for Small-Data Transfer LearningYao-Xiang Ding, Xi-Zhu Wu, Kun Zhou, Zhi-Hua Zhou. [doi]
- On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement LearningShiro Takagi. [doi]
- Out-of-Distribution Detection with An Adaptive Likelihood Ratio on Informative Hierarchical VAEYewen Li, Chaojie Wang 0001, Xiaobo Xia, Tongliang Liu, Xin Miao, Bo An 0001. [doi]
- NeuPhysics: Editable Neural Geometry and Physics from Monocular VideosYi-Ling Qiao, Alexander Gao, Ming C. Lin. [doi]
- Reconstruction on Trees and Low-Degree PolynomialsFrederic Koehler, Elchanan Mossel. [doi]
- Supported Policy Optimization for Offline Reinforcement LearningJialong Wu 0001, Haixu Wu, Zihan Qiu, Jianmin Wang 0001, Mingsheng Long. [doi]
- Unlabelled Sample Compression Schemes for Intersection-Closed Classes and Extremal ClassesJoachim Hyam Rubinstein, Benjamin I. P. Rubinstein. [doi]
- Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric ModelsRui Miao, Zhengling Qi, Xiaoke Zhang. [doi]
- Batch Bayesian optimisation via density-ratio estimation with guaranteesRafael Oliveira 0001, Louis C. Tiao, Fabio T. Ramos 0001. [doi]
- Inverse Game Theory for Stackelberg Games: the Blessing of Bounded RationalityJibang Wu, Weiran Shen, Fei Fang, Haifeng Xu. [doi]
- Distributed Inverse Constrained Reinforcement Learning for Multi-agent SystemsShicheng Liu, Minghui Zhu. [doi]
- UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANsPhilipp Oberdiek, Gernot A. Fink, Matthias Rottmann. [doi]
- Boosting the Performance of Generic Deep Neural Network Frameworks with Log-supermodular CRFsHao Xiong, Yangxiao Lu, Nicholas Ruozzi. [doi]
- Flexible Diffusion Modeling of Long VideosWilliam Harvey 0002, Saeid Naderiparizi, Vaden Masrani, Christian Weilbach, Frank Wood. [doi]
- On Sample Optimality in Personalized Collaborative and Federated LearningMathieu Even, Laurent Massoulié, Kevin Scaman. [doi]
- Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer NetworksMinji Yoon, John Palowitch, Dustin Zelle, Ziniu Hu, Ruslan Salakhutdinov, Bryan Perozzi. [doi]
- Neural Shape Deformation PriorsJiapeng Tang, Lev Markhasin, Bi Wang, Justus Thies, Matthias Nießner. [doi]
- Bridging Central and Local Differential Privacy in Data Acquisition MechanismsAlireza Fallah 0001, Ali Makhdoumi, Azarakhsh Malekian, Asuman E. Ozdaglar. [doi]
- Expected Frequency Matrices of Elections: Computation, Geometry, and Preference LearningNiclas Boehmer, Robert Bredereck, Edith Elkind, Piotr Faliszewski, Stanislaw Szufa. [doi]
- Movement Penalized Bayesian Optimization with Application to Wind Energy SystemsShyam Sundhar Ramesh, Pier Giuseppe Sessa, Andreas Krause 0001, Ilija Bogunovic. [doi]
- On-Demand Sampling: Learning Optimally from Multiple DistributionsNika Haghtalab, Michael I. Jordan, Eric Zhao 0003. [doi]
- Probabilistic Missing Value Imputation for Mixed Categorical and Ordered DataYuxuan Zhao, Alex Townsend, Madeleine Udell. [doi]
- Gaussian Copula EmbeddingsChien Lu, Jaakko Peltonen. [doi]
- Towards Efficient Post-training Quantization of Pre-trained Language ModelsHaoli Bai, Lu Hou, Lifeng Shang, Xin Jiang 0002, Irwin King, Michael R. Lyu. [doi]
- Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with TransformersColin Wei, Yining Chen, Tengyu Ma 0001. [doi]
- Out-of-Distribution Detection via Conditional Kernel Independence ModelYu Wang 0060, Jingjing Zou, Jingyang Lin, Qing Ling, Yingwei Pan, Ting Yao, Tao Mei 0001. [doi]
- On the Representation Collapse of Sparse Mixture of ExpertsZewen Chi, Li Dong 0004, Shaohan Huang, Damai Dai, Shuming Ma, Barun Patra, Saksham Singhal, Payal Bajaj, Xia Song, Xian-Ling Mao, Heyan Huang, Furu Wei. [doi]
- Biologically-Plausible Determinant Maximization Neural Networks for Blind Separation of Correlated SourcesBariscan Bozkurt, Cengiz Pehlevan, Alper T. Erdogan. [doi]
- Robust Bayesian Regression via Hard ThresholdingZheyi Fan, Zhaohui Li, Qingpei Hu. [doi]
- Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement LearningRunze Liu, Fengshuo Bai, Yali Du, Yaodong Yang 0001. [doi]
- Understanding and Improving Robustness of Vision Transformers through Patch-based Negative AugmentationYao Qin, Chiyuan Zhang, Ting Chen, Balaji Lakshminarayanan, Alex Beutel, Xuezhi Wang 0002. [doi]
- Finding Naturally Occurring Physical Backdoors in Image DatasetsEmily Wenger, Roma Bhattacharjee, Arjun Nitin Bhagoji, Josephine Passananti, Emilio Andere, Heather Zheng, Ben Y. Zhao. [doi]
- Offline Goal-Conditioned Reinforcement Learning via $f$-Advantage RegressionYecheng Jason Ma, Jason Yan, Dinesh Jayaraman, Osbert Bastani. [doi]
- Non-convex online learning via algorithmic equivalenceUdaya Ghai, Zhou Lu, Elad Hazan. [doi]
- Parameter-free Dynamic Graph Embedding for Link PredictionJiahao Liu, Dongsheng Li 0002, Hansu Gu, Tun Lu, Peng Zhang 0060, Ning Gu. [doi]
- General Cutting Planes for Bound-Propagation-Based Neural Network VerificationHuan Zhang, Shiqi Wang, Kaidi Xu, Linyi Li, Bo Li, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter. [doi]
- Robust Reinforcement Learning using Offline DataKishan Panaganti, Zaiyan Xu, Dileep Kalathil, Mohammad Ghavamzadeh. [doi]
- Verification and search algorithms for causal DAGsDavin Choo, Kirankumar Shiragur, Arnab Bhattacharyya 0001. [doi]
- Optimizing Data Collection for Machine LearningRafid Mahmood, James Lucas, Jose M. Alvarez, Sanja Fidler, Marc T. Law. [doi]
- The Curse of Unrolling: Rate of Differentiating Through OptimizationDamien Scieur, Gauthier Gidel, Quentin Bertrand, Fabian Pedregosa. [doi]
- Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain AdaptationXiang Gu 0005, Yucheng Yang, Wei Zeng, Jian Sun, ZongBen Xu. [doi]
- An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable ContextXiaoyu Chen, Xiangming Zhu, Yufeng Zheng, Pushi Zhang, Li Zhao 0007, Wenxue Cheng, Peng Cheng 0005, Yongqiang Xiong, Tao Qin, Jianyu Chen, Tie-Yan Liu. [doi]
- Paraphrasing Is All You Need for Novel Object CaptioningCheng-Fu Yang, Yao-Hung Hubert Tsai, Wan-Cyuan Fan, Russ R. Salakhutdinov, Louis-Philippe Morency, Frank Wang. [doi]
- Non-stationary Transformers: Exploring the Stationarity in Time Series ForecastingYong Liu, Haixu Wu, Jianmin Wang, Mingsheng Long. [doi]
- Synergy-of-Experts: Collaborate to Improve Adversarial RobustnessSen Cui, Jingfeng Zhang, Jian Liang, Bo Han 0003, Masashi Sugiyama, Changshui Zhang. [doi]
- TVLT: Textless Vision-Language TransformerZineng Tang, Jaemin Cho 0001, Yixin Nie, Mohit Bansal. [doi]
- A Consolidated Cross-Validation Algorithm for Support Vector Machines via Data ReductionBoxiang Wang, Archer Yang. [doi]
- Kernel Multimodal Continuous AttentionAlexander Moreno, Zhenke Wu, Supriya Nagesh, Walter H. Dempsey, James M. Rehg. [doi]
- Generalization Analysis on Learning with a Concurrent VerifierMasaaki Nishino, Kengo Nakamura 0001, Norihito Yasuda. [doi]
- Stability and Generalization Analysis of Gradient Methods for Shallow Neural NetworksYunwen Lei, Rong Jin, Yiming Ying. [doi]
- GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic SynthesisYushi Cao, Zhiming Li, Tianpei Yang, Hao Zhang, Yan Zheng, Yi Li, Jianye Hao, Yang Liu. [doi]
- Sample-Efficient Learning of Correlated Equilibria in Extensive-Form GamesZiang Song, Song Mei, Yu Bai 0017. [doi]
- $k$-Sliced Mutual Information: A Quantitative Study of Scalability with DimensionZiv Goldfeld, Kristjan H. Greenewald, Theshani Nuradha, Galen Reeves. [doi]
- OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform InversionChengyuan Deng, Shihang Feng, Hanchen Wang, Xitong Zhang, Peng Jin, Yinan Feng, Qili Zeng, Yinpeng Chen, Youzuo Lin. [doi]
- Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain GeneralizationDevansh Arpit, Huan Wang, Yingbo Zhou, Caiming Xiong. [doi]
- Optimal Scaling for Locally Balanced Proposals in Discrete SpacesHaoran Sun, Hanjun Dai, Dale Schuurmans. [doi]
- Amortized Proximal OptimizationJuhan Bae, Paul Vicol, Jeff Z. HaoChen, Roger B. Grosse. [doi]
- Reproducibility in Optimization: Theoretical Framework and LimitsKwangjun Ahn, Prateek Jain 0002, Ziwei Ji, Satyen Kale, Praneeth Netrapalli, Gil I. Shamir. [doi]
- Direct Advantage EstimationHsiao-Ru Pan, Nico Gürtler, Alexander Neitz, Bernhard Schölkopf. [doi]
- Multi-dataset Training of Transformers for Robust Action RecognitionJunwei Liang, Enwei Zhang, Jun Zhang, Chunhua Shen. [doi]
- Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance LearningJoseph Early, Tom Bewley, Christine Evers, Sarvapali D. Ramchurn. [doi]
- Online Deep Equilibrium Learning for Regularization by DenoisingJiaming Liu 0001, Xiaojian Xu, Weijie Gan, Shirin Shoushtari, Ulugbek Kamilov. [doi]
- Identifiability and generalizability from multiple experts in Inverse Reinforcement LearningPaul Rolland, Luca Viano, Norman Schürhoff, Boris Nikolov, Volkan Cevher. [doi]
- EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential EquationsMin Zhao 0008, Fan Bao, Chongxuan Li, Jun Zhu 0001. [doi]
- Few-Shot Non-Parametric Learning with Deep Latent Variable ModelZhiying Jiang, Yiqin Dai, Ji Xin, Ming Li, Jimmy Lin. [doi]
- Consistent Interpolating Ensembles via the Manifold-Hilbert KernelYutong Wang, Clayton Scott. [doi]
- Sublinear Algorithms for Hierarchical ClusteringArpit Agarwal, Sanjeev Khanna, Huan Li, Prathamesh Patil. [doi]
- Towards Better Evaluation for Dynamic Link PredictionFarimah Poursafaei, Shenyang Huang, Kellin Pelrine, Reihaneh Rabbany. [doi]
- On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process KernelsAmnon Geifman, Meirav Galun, David Jacobs 0001, Ronen Basri. [doi]
- Target alignment in truncated kernel ridge regressionArash A. Amini, Richard Baumgartner, Dai Feng. [doi]
- ConfLab: A Data Collection Concept, Dataset, and Benchmark for Machine Analysis of Free-Standing Social Interactions in the WildChirag Raman, José Vargas Quiros, Stephanie Tan, Ashraful Islam, Ekin Gedik, Hayley Hung. [doi]
- Off-Policy Evaluation with Policy-Dependent Optimization ResponseWenshuo Guo, Michael I. Jordan, Angela Zhou. [doi]
- Efficient Submodular Optimization under Noise: Local Search is RobustLingxiao Huang, Yuyi Wang 0001, Chunxue Yang, Huanjian Zhou. [doi]
- Online Agnostic Multiclass BoostingVinod Raman, Ambuj Tewari. [doi]
- Recall Distortion in Neural Network Pruning and the Undecayed Pruning AlgorithmAidan Good, Jiaqi Lin, Xin Yu 0003, Hannah Sieg, Mikey Ferguson, Shandian Zhe, Jerzy Wieczorek, Thiago Serra. [doi]
- DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity CharacterizationKevin Bello, Bryon Aragam, Pradeep Ravikumar. [doi]
- Multi-fidelity Monte Carlo: a pseudo-marginal approachDiana Cai, Ryan P. Adams. [doi]
- Estimating and Explaining Model Performance When Both Covariates and Labels ShiftLingjiao Chen, Matei Zaharia, James Y. Zou. [doi]
- Learning interacting dynamical systems with latent Gaussian process ODEsÇagatay Yildiz, Melih Kandemir, Barbara Rakitsch. [doi]
- Monte Carlo Tree Descent for Black-Box OptimizationYaoguang Zhai, Sicun Gao. [doi]
- Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction NetworksIndradyumna Roy, Soumen Chakrabarti, Abir De. [doi]
- Submodular Maximization in Clean Linear TimeWenxin Li, Moran Feldman, Ehsan Kazemi 0001, Amin Karbasi. [doi]
- CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World DomainsBonifaz Stuhr, Johann Haselberger, Julian Gebele. [doi]
- Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian InferenceRichard D. P. Grumitt, Biwei Dai, Uros Seljak. [doi]
- ElasticMVS: Learning elastic part representation for self-supervised multi-view stereopsisJinzhi Zhang, Ruofan Tang, Zheng Cao, Jing Xiao, Ruqi Huang, Lu Fang. [doi]
- Fault-Aware Neural Code RankersJeevana Priya Inala, Chenglong Wang, Mei Yang, Andrés Codas, Mark Encarnación, Shuvendu K. Lahiri, Madanlal Musuvathi, Jianfeng Gao. [doi]
- Grounded Video Situation RecognitionZeeshan Khan, C. V. Jawahar, Makarand Tapaswi. [doi]
- PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal ImputationMaxwell A. Xu, Alexander Moreno, Supriya Nagesh, Varol Burak Aydemir, David W. Wetter, Santosh Kumar 0001, James M. Rehg. [doi]
- The Implicit Delta MethodNathan Kallus, James McInerney. [doi]
- Equivariant Graph Hierarchy-Based Neural NetworksJiaqi Han, Wenbing Huang 0001, Tingyang Xu, Yu Rong. [doi]
- Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual BanditsGergely Neu, Iuliia Olkhovskaia, Matteo Papini, Ludovic Schwartz. [doi]
- Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain AdaptationPeide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao. [doi]
- Efficient and Effective Optimal Transport-Based BiclusteringChakib Fettal, Lazhar Labiod, Mohamed Nadif. [doi]
- Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble LearningAlex J. Chan, Mihaela van der Schaar. [doi]
- Benign Underfitting of Stochastic Gradient DescentTomer Koren, Roi Livni, Yishay Mansour, Uri Sherman. [doi]
- Deep Surrogate Assisted Generation of EnvironmentsVarun Bhatt, Bryon Tjanaka, Matthew C. Fontaine, Stefanos Nikolaidis. [doi]
- Infinite-Fidelity Coregionalization for Physical SimulationShibo Li, Zheng Wang 0042, Robert M. Kirby, Shandian Zhe. [doi]
- Learning Enhanced Representation for Tabular Data via Neighborhood PropagationKounianhua Du, Weinan Zhang 0001, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang 0001, David P. Wipf. [doi]
- BLOX: Macro Neural Architecture Search Benchmark and AlgorithmsThomas Chau 0001, Lukasz Dudziak, Hongkai Wen 0001, Nicholas D. Lane, Mohamed S. Abdelfattah. [doi]
- Average Sensitivity of Euclidean k-ClusteringYuichi Yoshida, Shinji Ito. [doi]
- Toward Robust Spiking Neural Network Against Adversarial PerturbationLing Liang, Kaidi Xu, Xing Hu 0001, Lei Deng 0003, Yuan Xie 0001. [doi]
- Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean DatasetsRuisi Cai, Zhenyu Zhang, Tianlong Chen, Xiaohan Chen, Zhangyang Wang. [doi]
- In Differential Privacy, There is Truth: on Vote-Histogram Leakage in Ensemble Private LearningJiaqi Wang, Roei Schuster, Ilia Shumailov, David Lie, Nicolas Papernot. [doi]
- Evolution of Neural Tangent Kernels under Benign and Adversarial TrainingNoel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus. [doi]
- Insights into Pre-training via Simpler Synthetic TasksYuhuai Wu, Felix Li, Percy Liang. [doi]
- A Combinatorial Perspective on the Optimization of Shallow ReLU NetworksMichael Matena, Colin Raffel. [doi]
- Model Zoos: A Dataset of Diverse Populations of Neural Network ModelsKonstantin Schürholt, Diyar Taskiran, Boris Knyazev, Xavier Giró i Nieto, Damian Borth. [doi]
- NodeFormer: A Scalable Graph Structure Learning Transformer for Node ClassificationQitian Wu, Wentao Zhao, Zenan Li, David P. Wipf, Junchi Yan. [doi]
- UniCLIP: Unified Framework for Contrastive Language-Image Pre-trainingJanghyeon Lee, Jongsuk Kim, Hyounguk Shon, Bumsoo Kim, Seung Hwan Kim, Honglak Lee, Junmo Kim. [doi]
- Zeroth-Order Hard-Thresholding: Gradient Error vs. ExpansivityWilliam de Vazelhes, Hualin Zhang, Huimin Wu, Xiaotong Yuan, Bin Gu 0001. [doi]
- Improving Intrinsic Exploration with Language AbstractionsJesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah D. Goodman, Tim Rocktäschel, Edward Grefenstette. [doi]
- Amplifying Membership Exposure via Data PoisoningYufei Chen 0001, Chao Shen 0001, Yun Shen, Cong Wang 0001, Yang Zhang 0016. [doi]
- Hierarchical classification at multiple operating pointsJack Valmadre. [doi]
- Discovering and Overcoming Limitations of Noise-engineered Data-free Knowledge DistillationPiyush Raikwar, Deepak Mishra. [doi]
- Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural NetworksLirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li. [doi]
- Modular Flows: Differential Molecular GenerationYogesh Verma, Samuel Kaski, Markus Heinonen, Vikas Garg. [doi]
- Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN)Ali Seyfi, Jean-François Rajotte, Raymond T. Ng. [doi]
- OPEN: Orthogonal Propagation with Ego-Network ModelingLiang Yang 0002, Lina Kang, Qiuliang Zhang, Mengzhe Li, Bingxin Niu, Dongxiao He, Zhen Wang, Chuan Wang, Xiaochun Cao, Yuanfang Guo. [doi]
- Subspace Recovery from Heterogeneous Data with Non-isotropic NoiseJohn C. Duchi, Vitaly Feldman, Lunjia Hu, Kunal Talwar. [doi]
- Rethinking Resolution in the Context of Efficient Video RecognitionChuofan Ma, Qiushan Guo, Yi Jiang, Ping Luo 0002, Zehuan Yuan, Xiaojuan Qi. [doi]
- TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement LearningKonstantin Sozykin, Andrei Chertkov, Roman Schutski, Anh Huy Phan 0001, Andrzej S. Cichocki, Ivan V. Oseledets. [doi]
- Random Normalization Aggregation for Adversarial DefenseMinjing Dong, Xinghao Chen 0001, Yunhe Wang 0001, Chang Xu 0002. [doi]
- An empirical analysis of compute-optimal large language model trainingJordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de Las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, Tom Hennigan, Eric Noland, Katherine Millican, George van den Driessche 0002, Bogdan Damoc, Aurelia Guy, Simon Osindero, Karen Simonyan, Erich Elsen, Oriol Vinyals, Jack W. Rae, Laurent Sifre. [doi]
- Self-Supervised Image Restoration with Blurry and Noisy PairsZhilu Zhang, Rongjian Xu, Ming Liu 0018, Zifei Yan, Wangmeng Zuo. [doi]
- Unsupervised Causal Generative Understanding of ImagesTitas Anciukevicius, Patrick Fox-Roberts, Edward Rosten, Paul Henderson. [doi]
- Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered StrategyLeyan Deng, Defu Lian, Chenwang Wu, Enhong Chen. [doi]
- Learning from Stochastically Revealed PreferenceJohn R. Birge, Xiaocheng Li, Chunlin Sun. [doi]
- Learning Options via CompressionYiding Jiang, Evan Zheran Liu, Benjamin Eysenbach, J. Zico Kolter, Chelsea Finn. [doi]
- Attention-based Neural Cellular AutomataMattie Tesfaldet, Derek Nowrouzezahrai, Chris Pal. [doi]
- A Theory of PAC Learnability under Transformation InvariancesHan Shao, Omar Montasser, Avrim Blum. [doi]
- Sample Efficiency Matters: A Benchmark for Practical Molecular OptimizationWenhao Gao 0001, Tianfan Fu, Jimeng Sun 0001, Connor W. Coley. [doi]
- On the Symmetries of Deep Learning Models and their Internal RepresentationsCharles Godfrey, Davis Brown, Tegan Emerson, Henry Kvinge. [doi]
- Task Discovery: Finding the Tasks that Neural Networks Generalize onAndrei Atanov, Andrei Filatov, Teresa Yeo, Ajay Sohmshetty, Amir Zamir. [doi]
- Mutual Information Divergence: A Unified Metric for Multimodal Generative ModelsJin-Hwa Kim, Yunji Kim, Jiyoung Lee, Kang Min Yoo, Sang-Woo Lee. [doi]
- Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and AveragingEdwige Cyffers, Mathieu Even, Aurélien Bellet, Laurent Massoulié. [doi]
- Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency ConsistencyXiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, Marinka Zitnik. [doi]
- A general approximation lower bound in $L^p$ norm, with applications to feed-forward neural networksEl Mehdi Achour, Armand Foucault, Sébastien Gerchinovitz, François Malgouyres. [doi]
- Estimation of Entropy in Constant Space with Improved Sample ComplexityMaryam Aliakbarpour, Andrew McGregor, Jelani Nelson, Erik Waingarten. [doi]
- What's the Harm? Sharp Bounds on the Fraction Negatively Affected by TreatmentNathan Kallus. [doi]
- M$^4$I: Multi-modal Models Membership InferencePingyi Hu, Zihan Wang, Ruoxi Sun, Hu Wang, Minhui Xue. [doi]
- Fair Ranking with Noisy Protected AttributesAnay Mehrotra, Nisheeth K. Vishnoi. [doi]
- SHINE: SubHypergraph Inductive Neural nEtworkYuan Luo. [doi]
- Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed ExplanationsMiao Zhang, Wei Huang, Bin Yang 0002. [doi]
- Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse RewardsRati Devidze, Parameswaran Kamalaruban, Adish Singla. [doi]
- Robust Imitation via Mirror Descent Inverse Reinforcement LearningDong-Sig Han, Hyunseo Kim, Hyundo Lee, Je-hwan Ryu, Byoung-Tak Zhang. [doi]
- Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus RateZhuoqing Song, Weijian Li, Kexin Jin, Lei Shi 0010, Ming Yan 0006, Wotao Yin, Kun Yuan. [doi]
- Learning Physics Constrained Dynamics Using AutoencodersTsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge. [doi]
- Text-Adaptive Multiple Visual Prototype Matching for Video-Text RetrievalChengzhi Lin, Ancong Wu, Junwei Liang 0006, Jun Zhang, Wenhang Ge, Wei-Shi Zheng 0001, Chunhua Shen. [doi]
- Delving into Out-of-Distribution Detection with Vision-Language RepresentationsYifei Ming, Ziyang Cai, Jiuxiang Gu, Yiyou Sun, Wei Li, Yixuan Li 0001. [doi]
- Semi-supervised Vision Transformers at ScaleZhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto. [doi]
- VaiPhy: a Variational Inference Based Algorithm for PhylogenyHazal Koptagel, Oskar Kviman, Harald Melin, Negar Safinianaini, Jens Lagergren. [doi]
- Addressing Resource Scarcity across Sign Languages with Multilingual Pretraining and Unified-Vocabulary DatasetsGokul Nc, Manideep Ladi, Sumit Negi, Prem Selvaraj, Pratyush Kumar, Mitesh Khapra. [doi]
- Contact-aware Human Motion ForecastingWei Mao 0001, Miaomiao Liu 0001, Richard I. Hartley, Mathieu Salzmann. [doi]
- Thinned random measures for sparse graphs with overlapping communitiesFederica Zoe Ricci, Michele Guindani, Erik Sudderth. [doi]
- GOOD: A Graph Out-of-Distribution BenchmarkShurui Gui, Xiner Li, Limei Wang, Shuiwang Ji. [doi]
- Recursive Reinforcement LearningErnst Moritz Hahn, Mateo Perez, Sven Schewe, Fabio Somenzi, Ashutosh Trivedi 0001, Dominik Wojtczak. [doi]
- Neural Topological Ordering for Computation GraphsMukul Gagrani, Corrado Rainone, Yang Yang, Harris Teague, Wonseok Jeon, Roberto Bondesan, Herke van Hoof, Christopher Lott, Weiliang Will Zeng, Piero Zappi. [doi]
- Online Minimax Multiobjective Optimization: Multicalibeating and Other ApplicationsDaniel Lee, Georgy Noarov, Mallesh M. Pai, Aaron Roth 0001. [doi]
- Self-supervised surround-view depth estimation with volumetric feature fusionJung Hee Kim, Junhwa Hur, Tien Phuoc Nguyen, Seong-Gyun Jeong. [doi]
- Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of ExpertsBasil Mustafa, Carlos Riquelme, Joan Puigcerver, Rodolphe Jenatton, Neil Houlsby. [doi]
- Hamiltonian Latent Operators for content and motion disentanglement in image sequencesAsif Khan 0008, Amos J. Storkey. [doi]
- On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit BiasItay Safran, Gal Vardi, Jason D. Lee. [doi]
- Divert More Attention to Vision-Language TrackingMingzhe Guo, Zhipeng Zhang, Heng Fan 0001, Liping Jing. [doi]
- Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical GuaranteesAleksandr Beznosikov, Peter Richtárik, Michael Diskin, Max Ryabinin, Alexander V. Gasnikov. [doi]
- One for All: Simultaneous Metric and Preference Learning over Multiple UsersGregory Canal, Blake Mason, Ramya Korlakai Vinayak, Robert Nowak 0001. [doi]
- Convexity Certificates from HessiansJulien Klaus, Niklas Merk, Konstantin Wiedom, Sören Laue, Joachim Giesen. [doi]
- Learning from Distributed Users in Contextual Linear Bandits Without Sharing the ContextOsama A. Hanna, Lin Yang 0011, Christina Fragouli. [doi]
- E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program GuidanceCan Chang, Ni Mu, Jiajun Wu 0001, Ling Pan, Huazhe Xu. [doi]
- On the symmetries of the synchronization problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective PlaneGabriele Cesa, Arash Behboodi, Taco S. Cohen, Max Welling. [doi]
- Improved Feature Distillation via Projector EnsembleYudong Chen 0002, Sen Wang 0001, Jiajun Liu, Xuwei Xu, Frank de Hoog, Zi Huang. [doi]
- Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D SpaceJinghuan Shang, Srijan Das, Michael S. Ryoo. [doi]
- On Elimination Strategies for Bandit Fixed-Confidence IdentificationAndrea Tirinzoni, Rémy Degenne. [doi]
- To update or not to update? Neurons at equilibrium in deep modelsAndrea Bragagnolo, Enzo Tartaglione, Marco Grangetto. [doi]
- Deep Ensembles Work, But Are They Necessary?Taiga Abe, Estefany Kelly Buchanan, Geoff Pleiss, Richard S. Zemel, John P. Cunningham. [doi]
- Reinforcement Learning with Neural Radiance FieldsDanny Driess, Ingmar Schubert, Pete Florence, Yunzhu Li, Marc Toussaint. [doi]
- Learning to Drop Out: An Adversarial Approach to Training Sequence VAEsDjordje Miladinovic, Kumar Shridhar, Kushal Jain, Max B. Paulus, Joachim M. Buhmann, Carl Allen. [doi]
- A Large Scale Search Dataset for Unbiased Learning to RankLixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin. [doi]
- Kernel Interpolation with Sparse GridsMohit Yadav, Daniel R. Sheldon, Cameron Musco. [doi]
- Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 MinutesZeyue Xue, Jianming Liang, Guanglu Song, Zhuofan Zong, Liang Chen, Yu Liu, Ping Luo. [doi]
- Recurrent Video Restoration Transformer with Guided Deformable AttentionJingyun Liang, Yuchen Fan, Xiaoyu Xiang, Rakesh Ranjan, Eddy Ilg, Simon Green, Jiezhang Cao, Kai Zhang 0008, Radu Timofte, Luc Van Gool. [doi]
- Mining Multi-Label Samples from Single Positive LabelsYoungin Cho, Daejin Kim, Mohammad Azam Khan, Jaegul Choo. [doi]
- Structure-Preserving 3D Garment Modeling with Neural Sewing MachinesXipeng Chen, Guangrun Wang, Dizhong Zhu, Xiaodan Liang, Philip H. S. Torr, Liang Lin. [doi]
- The Minority Matters: A Diversity-Promoting Collaborative Metric Learning AlgorithmShilong Bao, Qianqian Xu, Zhiyong Yang 0001, Yuan He 0011, Xiaochun Cao, Qingming Huang. [doi]
- Retrospective Adversarial Replay for Continual LearningLilly Kumari, Shengjie Wang, Tianyi Zhou 0001, Jeff A. Bilmes. [doi]
- On Embeddings for Numerical Features in Tabular Deep LearningYury Gorishniy, Ivan Rubachev, Artem Babenko. [doi]
- The Pitfalls of Regularization in Off-Policy TD LearningGaurav Manek, J. Zico Kolter. [doi]
- On Efficient Online Imitation Learning via ClassificationYichen Li, Chicheng Zhang. [doi]
- Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient InstructionsFenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Zhangdaihong Liu, Xu Sun 0001, Yang Yang, David A. Clifton. [doi]
- Calibrated Data-Dependent Constraints with Exact Satisfaction GuaranteesSongkai Xue, Yuekai Sun, Mikhail Yurochkin. [doi]
- Pushing the limits of fairness impossibility: Who's the fairest of them all?Brian Hsu, Rahul Mazumder, Preetam Nandy, Kinjal Basu 0001. [doi]
- The Dollar Street Dataset: Images Representing the Geographic and Socioeconomic Diversity of the WorldWilliam Gaviria Rojas, Sudnya Frederick Diamos, Keertan Kini, David Kanter, Vijay Janapa Reddi, Cody Coleman. [doi]
- Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spacesAlexander Thebelt, Calvin Tsay, Robert M. Lee, Nathan Sudermann-Merx, David Walz, Behrang Shafei, Ruth Misener. [doi]
- SInGE: Sparsity via Integrated Gradients Estimation of Neuron RelevanceEdouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly. [doi]
- Improving Diffusion Models for Inverse Problems using Manifold ConstraintsHyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye. [doi]
- Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot DifficultyJaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun. [doi]
- Recursive Reasoning in Minimax Games: A Level $k$ Gradient Play MethodZichu Liu, Lacra Pavel. [doi]
- Semantic Exploration from Language Abstractions and Pretrained RepresentationsAllison C. Tam, Neil C. Rabinowitz, Andrew K. Lampinen, Nicholas A. Roy, Stephanie C. Y. Chan, DJ Strouse, Jane Wang 0001, Andrea Banino, Felix Hill. [doi]
- Continuously Tempered PDMP samplersMatthew Sutton, Robert Salomone, Augustin Chevallier, Paul Fearnhead. [doi]
- GREED: A Neural Framework for Learning Graph Distance FunctionsRishabh Ranjan, Siddharth Grover, Sourav Medya, Venkatesan T. Chakaravarthy, Yogish Sabharwal, Sayan Ranu. [doi]
- Predictive Coding beyond Gaussian DistributionsLuca Pinchetti, Tommaso Salvatori, Yordan Yordanov, Beren Millidge, Yuhang Song 0001, Thomas Lukasiewicz. [doi]
- Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social MediaYizhou Zhang, Defu Cao, Yan Liu 0002. [doi]
- Fast Algorithms for Packing Proportional Fairness and its DualFrancisco Criado, David Martínez-Rubio, Sebastian Pokutta. [doi]
- Exploring the Whole Rashomon Set of Sparse Decision TreesRui Xin, Chudi Zhong, Zhi Chen 0009, Takuya Takagi, Margo I. Seltzer, Cynthia Rudin. [doi]
- FNeVR: Neural Volume Rendering for Face AnimationBohan Zeng, Boyu Liu, Hong Li, Xuhui Liu, Jianzhuang Liu, Dapeng Chen, Wei Peng, Baochang Zhang 0001. [doi]
- A composable machine-learning approach for steady-state simulations on high-resolution gridsRishikesh Ranade, Chris Hill, Lalit Ghule, Jay Pathak. [doi]
- COLD Decoding: Energy-based Constrained Text Generation with Langevin DynamicsLianhui Qin, Sean Welleck, Daniel Khashabi, Yejin Choi. [doi]
- On the Generalization Power of the Overfitted Three-Layer Neural Tangent Kernel ModelPeizhong Ju, Xiaojun Lin, Ness B. Shroff. [doi]
- Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionHanoona Abdul Rasheed, Muhammad Maaz 0001, Muhammad Uzair Khattak, Salman H. Khan 0001, Fahad Shahbaz Khan. [doi]
- Behavior Transformers: Cloning $k$ modes with one stoneNur Muhammad Shafiullah, Zichen Jeff Cui, Ariuntuya Altanzaya, Lerrel Pinto. [doi]
- Context-Based Dynamic Pricing with Partially Linear Demand ModelJinzhi Bu, David Simchi-Levi, Chonghuan Wang. [doi]
- Dual-Curriculum Contrastive Multi-Instance Learning for Cancer Prognosis Analysis with Whole Slide ImagesChao Tu, Yu Zhang 0064, Zhenyuan Ning. [doi]
- Optimal Dynamic Regret in LQR ControlDheeraj Baby, Yu-Xiang Wang 0003. [doi]
- QUARK: Controllable Text Generation with Reinforced UnlearningXiming Lu, Sean Welleck, Jack Hessel, Liwei Jiang, Lianhui Qin, Peter West, Prithviraj Ammanabrolu, Yejin Choi 0001. [doi]
- Online Neural Sequence Detection with Hierarchical Dirichlet Point ProcessWeihan Li, Yu Qi, Gang Pan 0001. [doi]
- A Closer Look at Offline RL AgentsYuwei Fu, Di Wu 0044, Benoit Boulet. [doi]
- XTC: Extreme Compression for Pre-trained Transformers Made Simple and EfficientXiaoxia Wu, Zhewei Yao, Minjia Zhang, Conglong Li, Yuxiong He. [doi]
- DP-PCA: Statistically Optimal and Differentially Private PCAXiyang Liu, Weihao Kong, Prateek Jain 0002, Sewoong Oh. [doi]
- Unified Optimal Transport Framework for Universal Domain AdaptationWanxing Chang, Ye Shi, Hoang Tuan, Jingya Wang. [doi]
- Collaborative Decision Making Using Action SuggestionsDylan M. Asmar, Mykel J. Kochenderfer. [doi]
- Diagnosing failures of fairness transfer across distribution shift in real-world medical settingsJessica Schrouff, Natalie Harris, Sanmi Koyejo, Ibrahim M. Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alexander Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour. [doi]
- MoCoDA: Model-based Counterfactual Data AugmentationSilviu Pitis, Elliot Creager, Ajay Mandlekar, Animesh Garg. [doi]
- Recruitment Strategies That Take a ChanceGregory Kehne, Ariel D. Procaccia, Jingyan Wang. [doi]
- Efficient and Effective Augmentation Strategy for Adversarial TrainingSravanti Addepalli, Samyak Jain, Venkatesh Babu R.. [doi]
- Communication Efficient Distributed Learning for Kernelized Contextual BanditsChuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang. [doi]
- D^2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular VideoTianhao Wu, Fangcheng Zhong, Andrea Tagliasacchi, Forrester Cole, Cengiz Öztireli. [doi]
- Fine-tuning language models to find agreement among humans with diverse preferencesMichiel A. Bakker, Martin J. Chadwick, Hannah Sheahan, Michael Henry Tessler, Lucy Campbell-Gillingham, Jan Balaguer, Nat McAleese, Amelia Glaese, John Aslanides, Matt M. Botvinick, Christopher Summerfield. [doi]
- Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation TestingNataniel Ruiz, Sarah A. Bargal, Cihang Xie, Kate Saenko, Stan Sclaroff. [doi]
- Mesoscopic modeling of hidden spiking neuronsShuqi Wang, Valentin Schmutz, Guillaume Bellec, Wulfram Gerstner. [doi]
- ASPiRe: Adaptive Skill Priors for Reinforcement LearningMengda Xu, Manuela Veloso, Shuran Song. [doi]
- On Deep Generative Models for Approximation and Estimation of Distributions on ManifoldsBiraj Dahal, Alexander Havrilla, Minshuo Chen, Tuo Zhao, Wenjing Liao. [doi]
- Hard ImageNet: Segmentations for Objects with Strong Spurious CuesMazda Moayeri, Sahil Singla 0002, Soheil Feizi. [doi]
- Invariance-Aware Randomized Smoothing CertificatesJan Schuchardt, Stephan Günnemann. [doi]
- Learning Modular Simulations for Homogeneous SystemsJayesh K. Gupta, Sai Vemprala, Ashish Kapoor. [doi]
- BagFlip: A Certified Defense Against Data PoisoningYuhao Zhang, Aws Albarghouthi, Loris D'Antoni. [doi]
- VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason ObjectivesZhuofan Ying, Peter Hase, Mohit Bansal. [doi]
- Adversarial Unlearning: Reducing Confidence Along Adversarial DirectionsAmrith Setlur, Benjamin Eysenbach, Virginia Smith, Sergey Levine. [doi]
- Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and CostSungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee, Seunghoon Hong. [doi]
- Prompt Certified Machine Unlearning with Randomized Gradient Smoothing and QuantizationZijie Zhang, Yang Zhou 0001, Xin Zhao, Tianshi Che, Lingjuan Lyu. [doi]
- Beyond spectral gap: the role of the topology in decentralized learningThijs Vogels, Hadrien Hendrikx, Martin Jaggi. [doi]
- Approximation with CNNs in Sobolev Space: with Applications to ClassificationGuohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang. [doi]
- FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare SettingsJean Ogier Du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He 0001, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux. [doi]
- 2 Regularized Network EmbeddingsAndrew Davison. [doi]
- Semi-Supervised Generative Models for Multiagent TrajectoriesDennis Fassmeyer, Pascal Fassmeyer, Ulf Brefeld. [doi]
- On the Effectiveness of Persistent HomologyRenata Turkes, Guido F. Montúfar, Nina Otter. [doi]
- Local Bayesian optimization via maximizing probability of descentQuan Nguyen, Kaiwen Wu, Jacob R. Gardner, Roman Garnett. [doi]
- A Theoretical View on Sparsely Activated NetworksCenk Baykal, Nishanth Dikkala, Rina Panigrahy, Cyrus Rashtchian, Xin Wang. [doi]
- Efficient and Modular Implicit DifferentiationMathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-López, Fabian Pedregosa, Jean-Philippe Vert. [doi]
- Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without GradientsHualin Zhang, Huan Xiong, Bin Gu 0001. [doi]
- OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test GraphsYangze Zhou, Gitta Kutyniok, Bruno Ribeiro 0001. [doi]
- A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural NetworksMingrui Liu, Zhenxun Zhuang, Yunwen Lei, Chunyang Liao. [doi]
- Non-Linguistic Supervision for Contrastive Learning of Sentence EmbeddingsYiren Jian, Chongyang Gao, Soroush Vosoughi. [doi]
- Model-based Lifelong Reinforcement Learning with Bayesian ExplorationHaotian Fu, Shangqun Yu, Michael L. Littman, George Konidaris 0001. [doi]
- What are the best Systems? New Perspectives on NLP BenchmarkingPierre Colombo, Nathan Noiry, Ekhine Irurozki, Stéphan Clémençon. [doi]
- Effectiveness of Vision Transformer for Fast and Accurate Single-Stage Pedestrian DetectionJing Yuan, Panagiotis Barmpoutis, Tania Stathaki. [doi]
- Explicable Policy SearchYu Ze Gong, Tony Zhang. [doi]
- Learning Partial Equivariances From DataDavid W. Romero, Suhas Lohit. [doi]
- projUNN: efficient method for training deep networks with unitary matricesBobak Toussi Kiani, Randall Balestriero, Yann LeCun, Seth Lloyd. [doi]
- Photorealistic Text-to-Image Diffusion Models with Deep Language UnderstandingChitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L. Denton, Seyed Kamyar Seyed Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol-Ayan, Tim Salimans, Jonathan Ho, David J. Fleet, Mohammad Norouzi 0002. [doi]
- Resource-Adaptive Federated Learning with All-In-One Neural CompositionYiqun Mei, Pengfei Guo, Mo Zhou, Vishal Patel 0001. [doi]
- Bayesian inference via sparse Hamiltonian flowsNaitong Chen, Zuheng Xu, Trevor Campbell. [doi]
- PALBERT: Teaching ALBERT to PonderNikita Balagansky, Daniil Gavrilov. [doi]
- Decoupled Self-supervised Learning for GraphsTeng Xiao, Zhengyu Chen 0001, Zhimeng Guo, Zeyang Zhuang, Suhang Wang. [doi]
- Emergent Graphical Conventions in a Visual Communication GameShuwen Qiu, Sirui Xie, Lifeng Fan, Tao Gao, Jungseock Joo, Song Chun Zhu, Yixin Zhu. [doi]
- Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source SeparationMoitreya Chatterjee, Narendra Ahuja, Anoop Cherian. [doi]
- Contrastive Language-Image Pre-Training with Knowledge GraphsXuran Pan, Tianzhu Ye, Dongchen Han, Shiji Song, Gao Huang. [doi]
- Learning-Augmented Algorithms for Online Linear and Semidefinite ProgrammingElena Grigorescu, Young-San Lin, Sandeep Silwal, Maoyuan Song, Samson Zhou. [doi]
- GenSDF: Two-Stage Learning of Generalizable Signed Distance FunctionsGene Chou, Ilya Chugunov, Felix Heide. [doi]
- MorphTE: Injecting Morphology in Tensorized EmbeddingsGuobing Gan, Peng Zhang, Sunzhu Li, Xiuqing Lu, Benyou Wang. [doi]
- Better Uncertainty Calibration via Proper Scores for Classification and BeyondSebastian Gruber, Florian Buettner 0001. [doi]
- How Sampling Impacts the Robustness of Stochastic Neural NetworksSina Däubener, Asja Fischer. [doi]
- Reinforcement Learning with Logarithmic Regret and Policy SwitchesGrigoris Velegkas, Zhuoran Yang, Amin Karbasi. [doi]
- Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization?Rishi Bommasani, Kathleen A. Creel, Ananya Kumar, Dan Jurafsky, Percy Liang. [doi]
- Truncated proposals for scalable and hassle-free simulation-based inferenceMichael Deistler, Pedro J. Gonçalves, Jakob H. Macke. [doi]
- First is Better Than Last for Language Data InfluenceChih-Kuan Yeh, Ankur Taly, Mukund Sundararajan, Frederick Liu, Pradeep Ravikumar. [doi]
- Scalable Multi-agent Covering Option Discovery based on Kronecker GraphsJiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal. [doi]
- Sample-Then-Optimize Batch Neural Thompson SamplingZhongxiang Dai, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet. [doi]
- On Translation and Reconstruction Guarantees of the Cycle-Consistent Generative Adversarial NetworksAnish Chakrabarty, Swagatam Das. [doi]
- Rate-Distortion Theoretic Bounds on Generalization Error for Distributed LearningMilad Sefidgaran, Romain Chor, Abdellatif Zaidi. [doi]
- Does GNN Pretraining Help Molecular Representation?Ruoxi Sun, Hanjun Dai, Adams Wei Yu. [doi]
- Two-Stream Network for Sign Language Recognition and TranslationYutong Chen, Ronglai Zuo, Fangyun Wei, Yu Wu 0012, Shujie Liu 0001, Brian Mak. [doi]
- Global Normalization for Streaming Speech Recognition in a Modular FrameworkEhsan Variani, Ke Wu, Michael D. Riley, David Rybach, Matt Shannon, Cyril Allauzen. [doi]
- Self-Supervised Learning via Maximum Entropy CodingXin Liu, Zhongdao Wang, Ya-Li Li, Shengjin Wang. [doi]
- GriddlyJS: A Web IDE for Reinforcement LearningChristopher Bamford 0001, Minqi Jiang, Mikayel Samvelyan, Tim Rocktäschel. [doi]
- Relation-Constrained Decoding for Text GenerationXiang Chen, Zhixian Yang, Xiaojun Wan. [doi]
- Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc ExplanationsTessa Han, Suraj Srinivas, Himabindu Lakkaraju. [doi]
- CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model BehaviorEldar David Abraham, Karel D'Oosterlinck, Amir Feder, Yair Ori Gat, Atticus Geiger, Christopher Potts, Roi Reichart, Zhengxuan Wu. [doi]
- On Scrambling Phenomena for Randomly Initialized Recurrent NetworksVaggos Chatziafratis, Ioannis Panageas, Clayton Sanford, Stelios Stavroulakis. [doi]
- Information-Theoretic GAN Compression with Variational Energy-based ModelMinsoo Kang, Hyewon Yoo, Eunhee Kang, Sehwan Ki, Hyong-Euk Lee, Bohyung Han. [doi]
- Improved Imaging by Invex Regularizers with Global Optima GuaranteesSamuel Pinilla, Tingting Mu, Neil Bourne, Jeyan Thiyagalingam. [doi]
- Fair Bayes-Optimal Classifiers Under Predictive ParityXianli Zeng, Edgar Dobriban, Guang Cheng. [doi]
- AutoMS: Automatic Model Selection for Novelty Detection with Error Rate ControlYifan Zhang, Haiyan Jiang, Haojie Ren, Changliang Zou, Dejing Dou. [doi]
- Towards Understanding the Mixture-of-Experts Layer in Deep LearningZixiang Chen, Yihe Deng, Yue Wu, Quanquan Gu, Yuanzhi Li. [doi]
- The Effects of Regularization and Data Augmentation are Class DependentRandall Balestriero, Léon Bottou, Yann LeCun. [doi]
- Uni[MASK]: Unified Inference in Sequential Decision ProblemsMicah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin. [doi]
- Training Uncertainty-Aware Classifiers with Conformalized Deep LearningBat-Sheva Einbinder, Yaniv Romano, Matteo Sesia, Yanfei Zhou. [doi]
- Enhanced Latent Space Blind Model for Real Image Denoising via Alternative OptimizationChao Ren 0002, Yizhong Pan, Jie Huang. [doi]
- Watermarking for Out-of-distribution DetectionQizhou Wang, Feng Liu, Yonggang Zhang, Jing Zhang, Chen Gong 0002, Tongliang Liu, Bo Han 0003. [doi]
- GULP: a prediction-based metric between representationsEnric Boix-Adserà, Hannah Lawrence, George Stepaniants, Philippe Rigollet. [doi]
- A Characterization of Semi-Supervised Adversarially Robust PAC LearnabilityIdan Attias, Steve Hanneke, Yishay Mansour. [doi]
- Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial CorruptionsJiafan He, Dongruo Zhou, Tong Zhang, Quanquan Gu. [doi]
- Human-AI Collaborative Bayesian OptimisationArun Kumar A V, Santu Rana, Alistair Shilton, Svetha Venkatesh. [doi]
- Video compression dataset and benchmark of learning-based video-quality metricsAnastasia Antsiferova, Sergey Lavrushkin, Maksim Smirnov, Aleksandr Gushchin, Dmitriy S. Vatolin, Dmitriy L. Kulikov. [doi]
- CGLB: Benchmark Tasks for Continual Graph LearningXikun Zhang 0002, Dongjin Song, Dacheng Tao. [doi]
- Posterior Collapse of a Linear Latent Variable ModelZihao Wang 0001, Ziyin Liu. [doi]
- Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle ComplexitySally Dong, Haotian Jiang, Yin Tat Lee, Swati Padmanabhan, Guanghao Ye. [doi]
- MoVQ: Modulating Quantized Vectors for High-Fidelity Image GenerationChuanxia Zheng, Tung Long Vuong, Jianfei Cai 0001, Dinh Phung. [doi]
- Efficient Methods for Non-stationary Online LearningPeng Zhao 0006, Yan-Feng Xie, Lijun Zhang 0005, Zhi-Hua Zhou. [doi]
- A Closer Look at the Adversarial Robustness of Deep Equilibrium ModelsZonghan Yang, Tianyu Pang, Yang Liu 0005. [doi]
- Hypothesis Testing for Differentially Private Linear RegressionDaniel Alabi, Salil P. Vadhan. [doi]
- Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional OptimizationWei Jiang, Gang Li, Yibo Wang, Lijun Zhang 0005, Tianbao Yang. [doi]
- Generalized One-shot Domain Adaptation of Generative Adversarial NetworksZicheng Zhang, Yinglu Liu, Congying Han, Tiande Guo, Ting Yao, Tao Mei 0001. [doi]
- Improving Neural Ordinary Differential Equations with Nesterov's Accelerated Gradient MethodHo Huu Nghia Nguyen, Tan Nguyen, Huyen Vo, Stanley J. Osher, Thieu Vo. [doi]
- Learning Interface Conditions in Domain Decomposition SolversAli Taghibakhshi, Nicolas Nytko, Tareq-Uz-Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West 0001. [doi]
- Generalization Bounds for Stochastic Gradient Descent via Localized $\varepsilon$-CoversSejun Park, Umut Simsekli, Murat A. Erdogdu. [doi]
- OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye SemanticsMohit Prabhushankar, Kiran Kokilepersaud, Yash-Yee Logan, Stephanie Trejo Corona, Ghassan Alregib, Charles C. Wykoff. [doi]
- Online Convex Optimization with Hard Constraints: Towards the Best of Two Worlds and BeyondHengquan Guo, Xin Liu, Honghao Wei, Lei Ying. [doi]
- How and Why to Manipulate Your Own Agent: On the Incentives of Users of Learning AgentsYoav Kolumbus, Noam Nisan. [doi]
- DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement LearningYao Mu, Yuzheng Zhuang, Fei Ni, Bin Wang, Jianyu Chen, Jianye Hao, Ping Luo. [doi]
- A Closer Look at Weakly-Supervised Audio-Visual Source LocalizationShentong Mo, Pedro Morgado 0001. [doi]
- On A Mallows-type Model For (Ranked) ChoicesYifan Feng, Yuxuan Tang. [doi]
- Training language models to follow instructions with human feedbackLong Ouyang, Jeffrey Wu 0003, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul F. Christiano, Jan Leike, Ryan Lowe. [doi]
- O(log T) Swap Regret in Multiplayer GamesIoannis Anagnostides, Gabriele Farina, Christian Kroer, Chung-wei Lee, Haipeng Luo, Tuomas Sandholm. [doi]
- Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural NetworkRavinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan. [doi]
- Sequence Model Imitation Learning with Unobserved ContextsGokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu. [doi]
- OnePose++: Keypoint-Free One-Shot Object Pose Estimation without CAD ModelsXingyi He, Jiaming Sun, Yuang Wang, Di Huang, Hujun Bao, Xiaowei Zhou. [doi]
- Generalization Properties of NAS under Activation and Skip Connection SearchZhenyu Zhu, Fanghui Liu 0001, Grigorios Chrysos 0002, Volkan Cevher. [doi]
- Learning Causally Invariant Representations for Out-of-Distribution Generalization on GraphsYongqiang Chen 0002, Yonggang Zhang, Yatao Bian, Han Yang 0002, Kaili Ma 0001, Binghui Xie, Tongliang Liu, Bo Han 0003, James Cheng. [doi]
- Adam Can Converge Without Any Modification On Update RulesYushun Zhang, Congliang Chen, Naichen Shi, Ruoyu Sun 0001, Zhi-Quan Luo. [doi]
- Single Loop Gaussian Homotopy Method for Non-convex OptimizationHidenori Iwakiri, Yuhang Wang, Shinji Ito, Akiko Takeda. [doi]
- Regret Bounds for Multilabel Classification in Sparse Label RegimesRóbert Busa-Fekete, Heejin Choi, Krzysztof Dembczynski, Claudio Gentile, Henry Reeve, Balázs Szörényi. [doi]
- Constrained Update Projection Approach to Safe Policy OptimizationLong Yang, Jiaming Ji, Juntao Dai, Linrui Zhang, Binbin Zhou, Pengfei Li, Yaodong Yang 0001, Gang Pan 0001. [doi]
- Can Adversarial Training Be Manipulated By Non-Robust Features?Lue Tao, Lei Feng 0006, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen. [doi]
- SAPA: Similarity-Aware Point Affiliation for Feature UpsamplingHao Lu 0003, Wenze Liu, Zixuan Ye, Hongtao Fu, Yuliang Liu, Zhiguo Cao 0001. [doi]
- TarGF: Learning Target Gradient Field to Rearrange Objects without Explicit Goal SpecificationMingdong Wu, Fangwei Zhong, Yulong Xia, Hao Dong 0003. [doi]
- A Quantitative Geometric Approach to Neural-Network SmoothnessZi Wang, Gautam Prakriya, Somesh Jha. [doi]
- Mirror Descent with Relative Smoothness in Measure Spaces, with application to Sinkhorn and EMPierre-Cyril Aubin-Frankowski, Anna Korba, Flavien Léger. [doi]
- Decoupling Classifier for Boosting Few-shot Object Detection and Instance SegmentationBin-Bin Gao, Xiaochen Chen, Zhongyi Huang, Congchong Nie, Jun Liu, Jinxiang Lai, Guannan Jiang, Xi Wang, Chengjie Wang. [doi]
- Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert SpacesVladimir Kostic, Pietro Novelli, Andreas Maurer, Carlo Ciliberto, Lorenzo Rosasco, Massimiliano Pontil. [doi]
- Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence OptimizationHui Yuan, Chengzhuo Ni, Huazheng Wang, Xuezhou Zhang, Le-Cong, Csaba Szepesvári, Mengdi Wang. [doi]
- A Lower Bound of Hash Codes' PerformanceXiaosu Zhu, Jingkuan Song, Yu Lei, Lianli Gao, Hengtao Shen. [doi]
- Rethinking Variational Inference for Probabilistic Programs with Stochastic SupportTim Reichelt, Luke Ong, Thomas Rainforth. [doi]
- Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender SystemsGuanghu Yuan, Fajie Yuan, Yudong Li, Beibei Kong, Shujie Li, Lei Chen 0072, Min Yang, Chenyun Yu, Bo Hu, Zang Li, Yu Xu, Xiaohu Qie. [doi]
- Low-rank Optimal Transport: Approximation, Statistics and DebiasingMeyer Scetbon, Marco Cuturi. [doi]
- Multi-agent Performative Prediction with Greedy Deployment and Consensus Seeking AgentsQiang Li 0017, Chung-Yiu Yau, Hoi-To Wai. [doi]
- RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural NetworksLeo Kozachkov, Michaela Ennis, Jean-Jacques E. Slotine. [doi]
- Natural gradient enables fast sampling in spiking neural networksPaul Masset, Jacob A. Zavatone-Veth, J. Patrick Connor, Venkatesh Murthy, Cengiz Pehlevan. [doi]
- Between Stochastic and Adversarial Online Convex Optimization: Improved Regret Bounds via SmoothnessSarah Sachs, Hédi Hadiji, Tim van Erven, Cristóbal Guzmán. [doi]
- Spherization Layer: Representation Using Only AnglesHoyong Kim, Kangil Kim. [doi]
- A Geometric Perspective on Variational AutoencodersClément Chadebec, Stéphanie Allassonnière. [doi]
- VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark WebAndrei Manolache, Florin Brad, Antonio Barbalau, Radu-Tudor Ionescu, Marius Popescu. [doi]
- Gradient Descent: The Ultimate OptimizerKartik Chandra, Audrey Xie, Jonathan Ragan-Kelley, Erik Meijer 0001. [doi]
- Learning Substructure Invariance for Out-of-Distribution Molecular RepresentationsNianzu Yang, Kaipeng Zeng, Qitian Wu, Xiaosong Jia, Junchi Yan. [doi]
- Active Learning Through a Covering LensOfer Yehuda, Avihu Dekel, Guy Hacohen, Daphna Weinshall. [doi]
- The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation?Jean Barbier, Tianqi Hou, Marco Mondelli, Manuel Sáenz. [doi]
- Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax OptimizationLuo Luo, Yujun Li, Cheng Chen. [doi]
- Unsupervised Domain Adaptation for Semantic Segmentation using Depth DistributionQuanliang Wu, Huajun Liu. [doi]
- Integral Probability Metrics PAC-Bayes BoundsRon Amit, Baruch Epstein, Shay Moran, Ron Meir. [doi]
- Transformer Memory as a Differentiable Search IndexYi Tay, Vinh Tran 0002, Mostafa Dehghani 0001, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin 0001, Kai Hui 0001, Zhe Zhao 0001, Jai Prakash Gupta, Tal Schuster, William W. Cohen, Donald Metzler. [doi]
- Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group DiscriminationYizhen Zheng, Shirui Pan, Vincent C. S. Lee, Yu Zheng, Philip S. Yu. [doi]
- SnAKe: Bayesian Optimization with Pathwise ExplorationJose Pablo Folch, Shiqiang Zhang, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener. [doi]
- Augmentations in Hypergraph Contrastive Learning: Fabricated and GenerativeTianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang. [doi]
- Batch Bayesian Optimization on Permutations using the Acquisition Weighted KernelChangYong Oh, Roberto Bondesan, Efstratios Gavves, Max Welling. [doi]
- Graph Few-shot Learning with Task-specific StructuresSong Wang, Chen Chen, Jundong Li. [doi]
- Decomposing NeRF for Editing via Feature Field DistillationSosuke Kobayashi, Eiichi Matsumoto, Vincent Sitzmann. [doi]
- SMPL: Simulated Industrial Manufacturing and Process Control Learning EnvironmentsMohan Zhang, Xiaozhou Wang, Benjamin Decardi-Nelson, Bo Song, An Zhang, Jinfeng Liu, Sile Tao, Jiayi Cheng, Xiaohong Liu, Dengdeng Yu, Matthew Poon, Animesh Garg. [doi]
- MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage ControlXuehai Pan, Mickel Liu, Fangwei Zhong, Yaodong Yang 0001, Song Chun Zhu, Yizhou Wang 0001. [doi]
- Efficient Non-Parametric Optimizer Search for Diverse TasksRuochen Wang, Yuanhao Xiong, Minhao Cheng, Cho-Jui Hsieh. [doi]
- SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous VehiclesChejian Xu, Wenhao Ding, Weijie Lyu, Zuxin Liu, Shuai Wang, Yihan He, Hanjiang Hu, Ding Zhao, Bo Li 0026. [doi]
- Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantificationRuoxi Jiang, Rebecca Willett. [doi]
- TA-GATES: An Encoding Scheme for Neural Network ArchitecturesXuefei Ning, Zixuan Zhou, Junbo Zhao, Tianchen Zhao, Yiping Deng, Changcheng Tang, Shuang Liang, Huazhong Yang, Yu Wang 0002. [doi]
- Inference and Sampling for Archimax CopulasYuting Ng, Ali-Hasan, Vahid Tarokh. [doi]
- Left Heavy Tails and the Effectiveness of the Policy and Value Networks in DNN-based best-first search for Sokoban PlanningDieqiao Feng, Carla P. Gomes, Bart Selman. [doi]
- Efficient Aggregated Kernel Tests using Incomplete $U$-statisticsAntonin Schrab, Ilmun Kim, Benjamin Guedj, Arthur Gretton. [doi]
- Optimizing Relevance Maps of Vision Transformers Improves RobustnessHila Chefer, Idan Schwartz, Lior Wolf. [doi]
- DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world DetectionLewei Yao, Jianhua Han, Youpeng Wen, Xiaodan Liang, Dan Xu, Wei Zhang 0196, Zhenguo Li, Chunjing Xu, Hang Xu. [doi]
- DeVRF: Fast Deformable Voxel Radiance Fields for Dynamic ScenesJia-Wei Liu, Yan-Pei Cao, Weijia Mao, Wenqiao Zhang, David Junhao Zhang, Jussi Keppo, Ying Shan, Xiaohu Qie, Mike Zheng Shou. [doi]
- Asynchronous SGD Beats Minibatch SGD Under Arbitrary DelaysKonstantin Mishchenko, Francis R. Bach, Mathieu Even, Blake E. Woodworth. [doi]
- Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian ManifoldCan Yaras, Peng Wang 0098, Zhihui Zhu, Laura Balzano, Qing Qu 0001. [doi]
- SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate TrainingEnmao Diao, Jie Ding 0002, Vahid Tarokh. [doi]
- Interaction-Grounded Learning with Action-Inclusive FeedbackTengyang Xie, Akanksha Saran, Dylan J. Foster, Lekan Molu, Ida Momennejad, Nan Jiang 0008, Paul Mineiro, John Langford 0001. [doi]
- AMP: Automatically Finding Model Parallel Strategies with Heterogeneity AwarenessDacheng Li, Hongyi Wang, Eric Xing, Hao Zhang. [doi]
- RTFormer: Efficient Design for Real-Time Semantic Segmentation with TransformerJian Wang 0066, Chenhui Gou, Qiman Wu, Haocheng Feng, Junyu Han, Errui Ding, Jingdong Wang 0001. [doi]
- Learning Bipartite Graphs: Heavy Tails and Multiple ComponentsJosé Vinícius de Miranda Cardoso, Jiaxi Ying, Daniel P. Palomar. [doi]
- Do Residual Neural Networks discretize Neural Ordinary Differential Equations?Michael E. Sander, Pierre Ablin, Gabriel Peyré. [doi]
- Using natural language and program abstractions to instill human inductive biases in machinesSreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y. Hu, Robert D. Hawkins, Jonathan D. Cohen 0003, Nathaniel D. Daw, Karthik Narasimhan, Tom Griffiths 0001. [doi]
- Meta-Reinforcement Learning with Self-Modifying NetworksMathieu Chalvidal, Thomas Serre, Rufin VanRullen. [doi]
- AutoST: Towards the Universal Modeling of Spatio-temporal SequencesJianxin Li 0002, Shuai Zhang 0026, Hui Xiong, Haoyi Zhou. [doi]
- GAMA: Generative Adversarial Multi-Object Scene AttacksAbhishek Aich, Calvin-Khang Ta, Akash Gupta, Chengyu Song, Srikanth V. Krishnamurthy, M. Salman Asif, Amit Roy-Chowdhury 0001. [doi]
- On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential GamesRunyu Zhang, Jincheng Mei, Bo Dai, Dale Schuurmans, Na Li 0002. [doi]
- Graph Reordering for Cache-Efficient Near Neighbor SearchBenjamin Coleman, Santiago Segarra, Alexander J. Smola, Anshumali Shrivastava. [doi]
- Robust Rent DivisionDominik Peters, Ariel D. Procaccia, David Zhu. [doi]
- Phase transitions in when feedback is usefulLokesh Boominathan, Xaq Pitkow. [doi]
- CageNeRF: Cage-based Neural Radiance Field for Generalized 3D Deformation and AnimationYicong Peng, Yichao Yan, Shengqi Liu, Yuhao Cheng, Shanyan Guan, Bowen Pan, Guangtao Zhai, Xiaokang Yang. [doi]
- Is one annotation enough? - A data-centric image classification benchmark for noisy and ambiguous label estimationLars Schmarje, Vasco Grossmann, Claudius Zelenka, Sabine Dippel, Rainer Kiko, Mariusz Oszust, Matti Pastell, Jenny Stracke, Anna Valros, Nina Volkmann, Reinhard Koch. [doi]
- Are GANs overkill for NLP?David Alvarez-Melis, Vikas K. Garg, Adam Kalai. [doi]
- Prototypical VoteNet for Few-Shot 3D Point Cloud Object DetectionShizhen Zhao, Xiaojuan Qi. [doi]
- Parameter-free Regret in High Probability with Heavy TailsJiujia Zhang, Ashok Cutkosky. [doi]
- mRI: Multi-modal 3D Human Pose Estimation Dataset using mmWave, RGB-D, and Inertial SensorsSizhe An, Yin Li, Ümit Y. Ogras. [doi]
- Flexible Neural Image Compression via Code EditingChenjian Gao, Tongda Xu, Dailan He, Yan Wang, Hongwei Qin. [doi]
- Pre-activation Distributions Expose Backdoor NeuronsRunkai Zheng, Rongjun Tang, Jianze Li, Li Liu 0036. [doi]
- Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image ClassificationIhsan Ullah, Dustin Carrión-Ojeda, Sergio Escalera, Isabelle Guyon, Mike Huisman, Felix Mohr, Jan N. van Rijn, Haozhe Sun, Joaquin Vanschoren, Phan Anh Vu. [doi]
- A Data-Augmentation Is Worth A Thousand Samples: Analytical Moments And Sampling-Free TrainingRandall Balestriero, Ishan Misra, Yann LeCun. [doi]
- Language Conditioned Spatial Relation Reasoning for 3D Object GroundingShizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi, Cordelia Schmid, Ivan Laptev. [doi]
- Equivariant Networks for Zero-Shot CoordinationDarius Muglich, Christian Schröder de Witt, Elise van der Pol, Shimon Whiteson, Jakob N. Foerster. [doi]
- A Single-timescale Analysis for Stochastic Approximation with Multiple Coupled SequencesHan Shen, Tianyi Chen. [doi]
- Distinguishing discrete and continuous behavioral variability using warped autoregressive HMMsJulia Costacurta, Lea Duncker, Blue Sheffer, Winthrop Gillis, Caleb Weinreb, Jeffrey E. Markowitz, Sandeep R. Datta, Alex Williams, Scott W. Linderman. [doi]
- CUP: Critic-Guided Policy ReuseJin Zhang 0016, Siyuan Li, Chongjie Zhang. [doi]
- List-Decodable Sparse Mean Estimation via Difference-of-Pairs FilteringIlias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas. [doi]
- Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured ProxiesShachi Deshpande, Kaiwen Wang, Dhruv Sreenivas, Zheng Li, Volodymyr Kuleshov. [doi]
- Unsupervised Learning of Shape Programs with Repeatable Implicit PartsBoyang Deng, Sumith Kulal, Zhengyang Dong, Congyue Deng, Yonglong Tian, Jiajun Wu 0001. [doi]
- Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient DescentYiping Lu 0001, José H. Blanchet, Lexing Ying. [doi]
- Point Transformer V2: Grouped Vector Attention and Partition-based PoolingXiaoyang Wu 0002, Yixing Lao, Li Jiang, Xihui Liu, Hengshuang Zhao. [doi]
- An $\alpha$-No-Regret Algorithm For Graphical Bilinear BanditsGeovani Rizk, Igor Colin, Albert Thomas 0001, Rida Laraki, Yann Chevaleyre. [doi]
- Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attentionHao Zheng, Hui Lin, Rong Zhao, Luping Shi. [doi]
- PhysGNN: A Physics-Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image-Guided NeurosurgeryYasmin Salehi, Dennis Giannacopoulos. [doi]
- Fixed-Distance Hamiltonian Monte CarloHadi Mohasel Afshar, Sally Cripps. [doi]
- AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphsDaniele Zambon, Cesare Alippi. [doi]
- PAC: Assisted Value Factorization with Counterfactual Predictions in Multi-Agent Reinforcement LearningHanhan Zhou, Tian Lan, Vaneet Aggarwal. [doi]
- Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein DistancesSloan Nietert, Ziv Goldfeld, Ritwik Sadhu, Kengo Kato. [doi]
- Augmenting Online Algorithms with $\varepsilon$-Accurate PredictionsAnupam Gupta 0001, Debmalya Panigrahi, Bernardo Subercaseaux, Kevin Sun 0001. [doi]
- Set-based Meta-Interpolation for Few-Task Meta-LearningSeanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee 0001, Sung Ju Hwang. [doi]
- Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without RefittingPrasanna Sattigeri, Soumya Ghosh, Inkit Padhi, Pierre L. Dognin, Kush R. Varshney. [doi]
- Is a Modular Architecture Enough?Sarthak Mittal, Yoshua Bengio, Guillaume Lajoie. [doi]
- Wild-Time: A Benchmark of in-the-Wild Distribution Shift over TimeHuaxiu Yao, Caroline Choi, Bochuan Cao, Yoonho Lee 0001, Pang Wei Koh, Chelsea Finn. [doi]
- Explainable Reinforcement Learning via Model TransformsMira Finkelstein, Nitsan Levy Schlot, Lucy Liu, Yoav Kolumbus, David C. Parkes, Jeffrey S. Rosenschein, Sarah Keren. [doi]
- Diagonal State Spaces are as Effective as Structured State SpacesAnkit Gupta 0001, Albert Gu, Jonathan Berant. [doi]
- Meta-Learning with Self-Improving Momentum TargetJihoon Tack, Jongjin Park, Hankook Lee, Jaeho Lee, Jinwoo Shin. [doi]
- Para-CFlows: $C^k$-universal diffeomorphism approximators as superior neural surrogatesJunlong Lyu, Zhitang Chen, Chang Feng, Wenjing Cun, Shengyu Zhu 0001, Yanhui Geng, Zhijie Xu, Chen Yongwei. [doi]
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- The Neural Covariance SDE: Shaped Infinite Depth-and-Width Networks at InitializationMufan (Bill) Li, Mihai Nica, Daniel M. Roy 0001. [doi]
- Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted PartitionsShubham Gupta, Ambedkar Dukkipati. [doi]
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- Change-point Detection for Sparse and Dense Functional Data in General DimensionsCarlos Misael Madrid Padilla, Daren Wang, Zifeng Zhao, Yi Yu. [doi]
- Denoising Diffusion Restoration ModelsBahjat Kawar, Michael Elad, Stefano Ermon, Jiaming Song. [doi]
- Learning Graph-embedded Key-event Back-tracing for Object Tracking in Event CloudsZhiyu Zhu, Junhui Hou, Xianqiang Lyu. [doi]
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- Fair and Efficient Allocations Without Obvious ManipulationsAlexandros Psomas 0001, Paritosh Verma. [doi]
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- Regularized Molecular Conformation FieldsLihao Wang, Yi Zhou 0018, Yiqun Wang, Xiaoqing Zheng, Xuanjing Huang 0001, Hao Zhou. [doi]
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- Interaction Modeling with Multiplex AttentionFan-Yun Sun, Isaac Kauvar, Ruohan Zhang, Jiachen Li, Mykel J. Kochenderfer, Jiajun Wu, Nick Haber. [doi]
- Self-explaining deep models with logic rule reasoningSeungEon Lee 0001, Xiting Wang, Sungwon Han 0001, Xiaoyuan Yi, Xing Xie 0001, Meeyoung Cha. [doi]
- Gradient Estimation with Discrete Stein OperatorsJiaxin Shi, Yuhao Zhou, Jessica Hwang, Michalis K. Titsias, Lester Mackey. [doi]
- MoGDE: Boosting Mobile Monocular 3D Object Detection with Ground Depth EstimationYunsong Zhou, Quan Liu, Hongzi Zhu, Yunzhe Li, Shan Chang, Minyi Guo. [doi]
- Last-Iterate Convergence of Optimistic Gradient Method for Monotone Variational InequalitiesEduard Gorbunov, Adrien Taylor, Gauthier Gidel. [doi]
- ReCo: Retrieve and Co-segment for Zero-shot TransferGyungin Shin, Weidi Xie, Samuel Albanie. [doi]
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- Kernel similarity matching with Hebbian networksKyle Luther, H. Sebastian Seung. [doi]
- Proximal Learning With Opponent-Learning AwarenessStephen Zhao, Chris Lu 0001, Roger B. Grosse, Jakob N. Foerster. [doi]
- GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on GraphsZenan Li, Qitian Wu, Fan Nie, Junchi Yan. [doi]
- TransTab: Learning Transferable Tabular Transformers Across TablesZifeng Wang, Jimeng Sun 0001. [doi]
- Efficient Meta Reinforcement Learning for Preference-based Fast AdaptationZhizhou Ren, Anji Liu, Yitao Liang, Jian Peng 0001, Jianzhu Ma. [doi]
- DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data SharingJiawei Shao, Yuchang Sun 0001, Songze Li, Jun Zhang 0004. [doi]
- Detecting Abrupt Changes in Sequential Pairwise Comparison DataWanshan Li, Alessandro Rinaldo, Daren Wang. [doi]
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- Sharpness-Aware Training for FreeJiawei Du, Daquan Zhou, Jiashi Feng, Vincent Tan, Joey Tianyi Zhou. [doi]
- QC-StyleGAN - Quality Controllable Image Generation and ManipulationDat Viet Thanh Nguyen, Phong Tran The, Tan M. Dinh, Cuong Pham, Anh Tran 0001. [doi]
- Bayesian Persuasion for Algorithmic RecourseKeegan Harris, Valerie Chen, Joon Sik Kim, Ameet Talwalkar, Hoda Heidari, Zhiwei Steven Wu. [doi]
- Exponential Family Model-Based Reinforcement Learning via Score MatchingGene Li, Junbo Li, Anmol Kabra, Nati Srebro, Zhaoran Wang, Zhuoran Yang. [doi]
- CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point CloudsHaiyang Wang, Lihe Ding, Shaocong Dong, Shaoshuai Shi, Aoxue Li, Jianan Li, Zhenguo Li, Liwei Wang 0001. [doi]
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic ReparameterizationSamuel Daulton, Xingchen Wan, David Eriksson, Maximilian Balandat, Michael A. Osborne, Eytan Bakshy. [doi]
- P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel PromptingZiyi Wang, Xumin Yu, Yongming Rao, Jie Zhou 0001, Jiwen Lu. [doi]
- Diffusion Curvature for Estimating Local Curvature in High Dimensional DataDhananjay Bhaskar, Kincaid MacDonald, Oluwadamilola Fasina, Dawson Thomas, Bastian Rieck, Ian Adelstein, Smita Krishnaswamy. [doi]
- Masked Autoencoding for Scalable and Generalizable Decision MakingFangchen Liu, Hao Liu 0055, Aditya Grover, Pieter Abbeel. [doi]
- Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects EstimationIoana Bica, Mihaela van der Schaar. [doi]
- Dynamic Fair Division with Partial InformationGerdus Benadè, Daniel Halpern 0002, Alexandros Psomas 0001. [doi]
- Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view ReconstructionQiancheng Fu, Qingshan Xu 0001, Yew-Soon Ong, Wenbing Tao. [doi]
- Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous ActionsAntonio Terpin, Nicolas Lanzetti, Batuhan Yardim, Florian Dörfler, Giorgia Ramponi. [doi]
- Learning Robust Rule Representations for Abstract Reasoning via Internal InferencesWenbo Zhang, Likai Tang, Site Mo, Xianggen Liu, Sen Song. [doi]
- Eliciting Thinking Hierarchy without a PriorYuqing Kong, Yunqi Li, Yubo Zhang, Zhihuan Huang, Jinzhao Wu. [doi]
- Relaxing Equivariance Constraints with Non-stationary Continuous FiltersTycho F. A. van der Ouderaa, David W. Romero, Mark van der Wilk. [doi]
- Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series ForecastingYuzhou Chen, Yulia R. Gel, H. Vincent Poor. [doi]
- Zonotope Domains for Lagrangian Neural Network VerificationMatt Jordan, Jonathan Hayase, Alex Dimakis, Sewoong Oh. [doi]
- The Query Complexity of Cake CuttingSimina Brânzei, Noam Nisan. [doi]
- A Simple and Optimal Policy Design for Online Learning with Safety against Heavy-tailed RiskDavid Simchi-Levi, Zeyu Zheng, Feng Zhu. [doi]
- Defining and Characterizing Reward GamingJoar Skalse, Nikolaus H. R. Howe, Dmitrii Krasheninnikov, David Krueger. [doi]
- Global Convergence and Stability of Stochastic Gradient DescentVivak Patel, Shushu Zhang, Bowen Tian. [doi]
- Robust Generalized Method of Moments: A Finite Sample ViewpointDhruv Rohatgi, Vasilis Syrgkanis. [doi]
- Remember the Past: Distilling Datasets into Addressable Memories for Neural NetworksZhiwei Deng, Olga Russakovsky. [doi]
- Searching for Better Spatio-temporal Alignment in Few-Shot Action RecognitionYichao Cao, Xiu Su, Qingfei Tang, Shan You, Xiaobo Lu, Chang Xu 0002. [doi]
- Optimal Efficiency-Envy Trade-Off via Optimal TransportSteven Yin, Christian Kroer. [doi]
- Few-Shot Fast-Adaptive Anomaly DetectionZe Wang, Yipin Zhou, Rui Wang, Tsung-Yu Lin, Ashish Shah, Ser-Nam Lim. [doi]
- Causality Preserving Chaotic Transformation and Classification using Neurochaos LearningHarikrishnan N. B., Aditi Kathpalia, Nithin Nagaraj. [doi]
- Staircase Attention for Recurrent Processing of SequencesDa Ju, Stephen Roller, Sainbayar Sukhbaatar, Jason Weston. [doi]
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- Practical Adversarial Multivalid Conformal PredictionOsbert Bastani, Varun Gupta 0006, Christopher Jung 0001, Georgy Noarov, Ramya Ramalingam, Aaron Roth 0001. [doi]
- Deliberated Domain Bridging for Domain Adaptive Semantic SegmentationLin Chen, Zhixiang Wei, Xin Jin 0014, Huaian Chen, Miao Zheng, Kai Chen, Yi Jin 0002. [doi]
- Are all Frames Equal? Active Sparse Labeling for Video Action DetectionAayush Jung Rana, Yogesh S. Rawat. [doi]
- Structural Analysis of Branch-and-Cut and the Learnability of Gomory Mixed Integer CutsMaria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm, Ellen Vitercik. [doi]
- Rethinking Alignment in Video Super-Resolution TransformersShuwei Shi, Jinjin Gu, Liangbin Xie, Xintao Wang, Yujiu Yang, Chao Dong. [doi]
- AVLEN: Audio-Visual-Language Embodied Navigation in 3D EnvironmentsSudipta Paul 0007, Amit Roy-Chowdhury 0001, Anoop Cherian. [doi]
- I2Q: A Fully Decentralized Q-Learning AlgorithmJiechuan Jiang, Zongqing Lu. [doi]
- Self-Organized Group for Cooperative Multi-agent Reinforcement LearningJianzhun Shao, Zhiqiang Lou, Hongchang Zhang, Yuhang Jiang, Shuncheng He, Xiangyang Ji. [doi]
- Retrieval-Augmented Diffusion ModelsAndreas Blattmann, Robin Rombach, Kaan Oktay, Jonas Müller, Björn Ommer. [doi]
- Robustness Disparities in Face DetectionSamuel Dooley, George Z. Wei, Tom Goldstein, John Dickerson 0001. [doi]
- "Why Not Other Classes?": Towards Class-Contrastive Back-Propagation ExplanationsYipei Wang, Xiaoqian Wang 0001. [doi]
- Joint Learning of 2D-3D Weakly Supervised Semantic SegmentationHyeokjun Kweon, Kuk-Jin Yoon. [doi]
- Evaluation beyond Task Performance: Analyzing Concepts in AlphaZero in HexCharles Lovering, Jessica Forde, George Konidaris 0001, Ellie Pavlick, Michael L. Littman. [doi]
- SKFlow: Learning Optical Flow with Super KernelsShangkun Sun, Yuanqi Chen, Yu Zhu, Guodong Guo, Ge Li. [doi]
- CASA: Category-agnostic Skeletal Animal ReconstructionYuefan Wu, Zeyuan Chen, Shaowei Liu, Zhongzheng Ren, Shenlong Wang. [doi]
- The computational and learning benefits of Daleian neural networksAdam Haber, Elad Schneidman. [doi]
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- Active Learning with Safety ConstraintsRomain Camilleri, Andrew Wagenmaker, Jamie H. Morgenstern, Lalit Jain, Kevin G. Jamieson. [doi]
- Regret Bounds for Information-Directed Reinforcement LearningBotao Hao, Tor Lattimore. [doi]
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- How Powerful are K-hop Message Passing Graph Neural NetworksJiarui Feng, Yixin Chen, Fuhai Li, Anindya Sarkar, Muhan Zhang. [doi]
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- Neurosymbolic Deep Generative Models for Sequence Data with Relational ConstraintsHalley Young, Maxwell Du, Osbert Bastani. [doi]
- Intrinsic dimensionality estimation using Normalizing FlowsChristian Horvat, Jean-Pascal Pfister. [doi]
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- TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure PredictionWei Lu, Qifeng Wu, Jixian Zhang, Jiahua Rao, Chengtao Li, Shuangjia Zheng. [doi]
- Block-Recurrent TransformersDeLesley Hutchins, Imanol Schlag, Yuhuai Wu, Ethan Dyer, Behnam Neyshabur. [doi]
- Improving Task-Specific Generalization in Few-Shot Learning via Adaptive Vicinal Risk MinimizationLong-Kai Huang, Ying Wei 0001. [doi]
- Redistribution of Weights and Activations for AdderNet QuantizationYing Nie, Kai Han 0002, Haikang Diao, Chuanjian Liu, Enhua Wu, Yunhe Wang 0001. [doi]
- RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised LearningYingbin Bai, Erkun Yang, Zhaoqing Wang, Yuxuan Du, Bo Han 0003, Cheng Deng, Dadong Wang, Tongliang Liu. [doi]
- Theoretical analysis of deep neural networks for temporally dependent observationsMingliang Ma, Abolfazl Safikhani. [doi]
- Learning with little mixingIngvar M. Ziemann, Stephen Tu. [doi]
- A Win-win Deal: Towards Sparse and Robust Pre-trained Language ModelsYuanxin Liu, Fandong Meng, Zheng Lin 0001, Jiangnan Li, Peng Fu 0008, Yanan Cao, Weiping Wang, Jie Zhou 0016. [doi]
- Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three RegimesMaxim Kodryan, Ekaterina Lobacheva, Maksim Nakhodnov, Dmitry P. Vetrov. [doi]
- Real-Valued Backpropagation is Unsuitable for Complex-Valued Neural NetworksZhi-Hao Tan, Yi Xie, Yuan Jiang 0001, Zhi-Hua Zhou. [doi]
- Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural NetworksTao Sun 0005, Dongsheng Li 0001, Bao Wang. [doi]
- Finite-Time Last-Iterate Convergence for Learning in Multi-Player GamesYang Cai 0001, Argyris Oikonomou, Weiqiang Zheng. [doi]
- Mildly Conservative Q-Learning for Offline Reinforcement LearningJiafei Lyu, Xiaoteng Ma, Xiu Li, Zongqing Lu. [doi]
- Globally Gated Deep Linear NetworksQianyi Li, Haim Sompolinsky. [doi]
- Stochastic Window Transformer for Image RestorationJie Xiao 0002, Xueyang Fu, Feng Wu 0001, Zheng-Jun Zha. [doi]
- Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal TransportDandan Guo, Long Tian, He Zhao 0001, Mingyuan Zhou, Hongyuan Zha. [doi]
- ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing PerspectiveYihong Chen, Pushkar Mishra, Luca Franceschi 0001, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel 0001. [doi]
- Finding and Listing Front-door Adjustment SetsHyunchai Jeong, Jin Tian 0001, Elias Bareinboim. [doi]
- 3D Concept Grounding on Neural FieldsYining Hong, Yilun Du, Chunru Lin, Josh Tenenbaum 0001, Chuang Gan. [doi]
- Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural NetworksHongjoon Ahn, Yongyi Yang, Quan Gan, Taesup Moon, David P. Wipf. [doi]
- Towards Efficient 3D Object Detection with Knowledge DistillationJihan Yang, Shaoshuai Shi, Runyu Ding, Zhe Wang 0006, Xiaojuan Qi. [doi]
- Reduction Algorithms for Persistence Diagrams of Networks: CoralTDA and PrunITCuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel, Baris Coskunuzer. [doi]
- ComENet: Towards Complete and Efficient Message Passing for 3D Molecular GraphsLimei Wang, Yi Liu, Yuchao Lin, Haoran Liu, Shuiwang Ji. [doi]
- $\alpha$-ReQ : Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decayKumar Krishna Agrawal, Arnab Kumar Mondal, Arna Ghosh, Blake A. Richards. [doi]
- Semi-Supervised Video Salient Object Detection Based on Uncertainty-Guided Pseudo LabelsYongri Piao, Chenyang Lu, Miao Zhang, Huchuan Lu. [doi]
- HF-NeuS: Improved Surface Reconstruction Using High-Frequency DetailsYiqun Wang 0001, Ivan Skorokhodov, Peter Wonka. [doi]
- VisCo Grids: Surface Reconstruction with Viscosity and Coarea GridsAlbert Pumarola, Artsiom Sanakoyeu, Lior Yariv, Ali K. Thabet, Yaron Lipman. [doi]
- NeuroSchedule: A Novel Effective GNN-based Scheduling Method for High-level SynthesisJun Zeng, Mingyang Kou, Hailong Yao. [doi]
- Handcrafted Backdoors in Deep Neural NetworksSanghyun Hong 0001, Nicholas Carlini, Alexey Kurakin. [doi]
- Expansion and Shrinkage of Localization for Weakly-Supervised Semantic SegmentationJinlong Li, Zequn Jie, Xu Wang, Xiaolin Wei, Lin Ma. [doi]
- Most Activation Functions Can Win the Lottery Without Excessive DepthRebekka Burkholz. [doi]
- Label-Aware Global Consistency for Multi-Label Learning with Single Positive LabelsMing-Kun Xie, Jiahao Xiao, Sheng-Jun Huang. [doi]
- Learning Neural Acoustic FieldsAndrew Luo, Yilun Du, Michael J. Tarr, Josh Tenenbaum 0001, Antonio Torralba 0001, Chuang Gan. [doi]
- Partial Identification of Treatment Effects with Implicit Generative ModelsVahid Balazadeh Meresht, Vasilis Syrgkanis, Rahul G. Krishnan. [doi]
- SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collectionsMark Boss, Andreas Engelhardt, Abhishek Kar, Yuanzhen Li, Deqing Sun, Jonathan T. Barron, Hendrik P. A. Lensch, Varun Jampani. [doi]
- Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed LearningTomoya Murata, Taiji Suzuki. [doi]
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- Score-based Generative Modeling Secretly Minimizes the Wasserstein DistanceDohyun Kwon, Ying Fan, Kangwook Lee 0001. [doi]
- Trading Off Resource Budgets For Improved Regret BoundsThomas Orton, Damon Falck. [doi]
- Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List StabilityPeisong Wen, Qianqian Xu, Zhiyong Yang 0001, Yuan He 0011, Qingming Huang. [doi]
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- Truly Deterministic Policy OptimizationEhsan Saleh, Saba Ghaffari, Timothy Bretl, Matthew West 0001. [doi]
- On the Convergence Theory for Hessian-Free Bilevel AlgorithmsDaouda Sow, Kaiyi Ji, Yingbin Liang. [doi]
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- Chain-of-Thought Prompting Elicits Reasoning in Large Language ModelsJason Wei, Xuezhi Wang 0002, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, Denny Zhou. [doi]
- Conditional Independence Testing with Heteroskedastic Data and Applications to Causal DiscoveryWiebke Günther, Urmi Ninad, Jonas Wahl, Jakob Runge. [doi]
- Multi-Lingual Acquisition on Multimodal Pre-training for Cross-modal RetrievalLiang Zhang, Anwen Hu, Qin Jin. [doi]
- Geodesic Graph Neural Network for Efficient Graph Representation LearningLecheng Kong, Yixin Chen 0001, Muhan Zhang. [doi]
- Data augmentation for efficient learning from parametric expertsAlexandre Galashov, Joshua Scott Merel, Nicolas Heess. [doi]
- Measuring and Reducing Model Update Regression in Structured Prediction for NLPDeng Cai 0002, Elman Mansimov, Yi-An Lai, Yixuan Su, Lei Shu, Yi Zhang. [doi]
- Learning to Constrain Policy Optimization with Virtual Trust RegionThai Hung Le, Thommen Karimpanal George, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta 0001, Svetha Venkatesh. [doi]
- (De-)Randomized Smoothing for Decision Stump EnsemblesMiklós Z. Horváth, Mark Niklas Müller, Marc Fischer 0002, Martin T. Vechev. [doi]
- What Can Transformers Learn In-Context? A Case Study of Simple Function ClassesShivam Garg 0001, Dimitris Tsipras, Percy Liang, Gregory Valiant. [doi]
- GENIE: Higher-Order Denoising Diffusion SolversTim Dockhorn, Arash Vahdat, Karsten Kreis. [doi]
- Alleviating "Posterior Collapse" in Deep Topic Models via Policy GradientYewen Li, Chaojie Wang 0001, Zhibin Duan, Dongsheng Wang 0003, Bo Chen 0001, Bo An 0001, Mingyuan Zhou. [doi]
- Shadow Knowledge Distillation: Bridging Offline and Online Knowledge TransferLujun Li, Zhe Jin. [doi]
- On the Theoretical Properties of Noise Correlation in Stochastic OptimizationAurélien Lucchi, Frank Proske, Antonio Orvieto, Francis R. Bach, Hans Kersting. [doi]
- Revisiting Active Sets for Gaussian Process DecodersPablo Moreno-Muñoz, Cilie W. Feldager, Søren Hauberg. [doi]
- End-to-end Algorithm Synthesis with Recurrent Networks: Extrapolation without OverthinkingArpit Bansal, Avi Schwarzschild, Eitan Borgnia, Zeyad Emam, Furong Huang, Micah Goldblum, Tom Goldstein. [doi]
- Fast Mixing of Stochastic Gradient Descent with Normalization and Weight DecayZhiyuan Li 0005, Tianhao Wang 0017, Dingli Yu. [doi]
- NAS-Bench-Graph: Benchmarking Graph Neural Architecture SearchYijian Qin, Ziwei Zhang, Xin Wang, Zeyang Zhang, Wenwu Zhu. [doi]
- K-Radar: 4D Radar Object Detection for Autonomous Driving in Various Weather ConditionsDong-Hee Paek, Seung-Hyun Kong, Kevin Tirta Wijaya. [doi]
- Transformers from an Optimization PerspectiveYongyi Yang, Zengfeng Huang, David P. Wipf. [doi]
- A Non-asymptotic Analysis of Non-parametric Temporal-Difference LearningEloïse Berthier, Ziad Kobeissi, Francis R. Bach. [doi]
- A New Family of Generalization Bounds Using Samplewise Evaluated CMIFredrik Hellström, Giuseppe Durisi. [doi]
- USB: A Unified Semi-supervised Learning Benchmark for ClassificationYidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou 0007, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yu-Feng Li, Satoshi Nakamura 0001, Wei Ye 0004, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang 0001, Xing Xie 0001, Yue Zhang 0004. [doi]
- Predictive Querying for Autoregressive Neural Sequence ModelsAlex Boyd, Samuel Showalter, Stephan Mandt, Padhraic Smyth. [doi]
- On the non-universality of deep learning: quantifying the cost of symmetryEmmanuel Abbe, Enric Boix-Adserà. [doi]
- Consistent Sufficient Explanations and Minimal Local Rules for explaining the decision of any classifier or regressorSalim I. Amoukou, Nicolas J.-B. Brunel. [doi]
- Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training ComplexityMucong Ding, Tahseen Rabbani, Bang An, Evan Wang, Furong Huang. [doi]
- Adaptive Oracle-Efficient Online LearningGuanghui Wang, Zihao Hu, Vidya Muthukumar, Jacob D. Abernethy. [doi]
- Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question AnsweringPan Lu, Swaroop Mishra, Tanglin Xia, Liang Qiu 0001, Kai-Wei Chang, Song Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan. [doi]
- Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time GuaranteesSiliang Zeng, Chenliang Li, Alfredo Garcia, Mingyi Hong. [doi]
- Nonlinear Sufficient Dimension Reduction with a Stochastic Neural NetworkSiqi Liang, Yan Sun 0011, Faming Liang. [doi]
- Private and Communication-Efficient Algorithms for Entropy EstimationGecia Bravo Hermsdorff, Róbert Busa-Fekete, Mohammad Ghavamzadeh, Andrés Muñoz Medina, Umar Syed. [doi]
- Systematic improvement of neural network quantum states using LanczosHongwei Chen, Douglas Hendry, Phillip Weinberg, Adrian E. Feiguin. [doi]
- A Unified Framework for Alternating Offline Model Training and Policy LearningShentao Yang, Shujian Zhang, Yihao Feng, Mingyuan Zhou. [doi]
- The First Optimal Acceleration of High-Order Methods in Smooth Convex OptimizationDmitry Kovalev, Alexander V. Gasnikov. [doi]
- Provably tuning the ElasticNet across instancesMaria-Florina F. Balcan, Misha Khodak, Dravyansh Sharma, Ameet Talwalkar. [doi]
- Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate ProgressRishabh Agarwal, Max Schwarzer, Pablo Samuel Castro, Aaron C. Courville, Marc G. Bellemare. [doi]
- Efficient Dataset Distillation using Random Feature ApproximationNoel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus. [doi]
- Benefits of Additive Noise in Composing Classes with Bounded CapacityAlireza Fathollah Pour, Hassan Ashtiani. [doi]
- Instance-Based Uncertainty Estimation for Gradient-Boosted Regression TreesJonathan Brophy, Daniel Lowd. [doi]
- When to Update Your Model: Constrained Model-based Reinforcement LearningTianying Ji, Yu Luo, Fuchun Sun 0001, Mingxuan Jing, Fengxiang He, Wenbing Huang 0001. [doi]
- Policy Optimization with Linear Temporal Logic ConstraintsCameron Voloshin, Hoang Minh Le 0002, Swarat Chaudhuri, Yisong Yue. [doi]
- Optimal Algorithms for Decentralized Stochastic Variational InequalitiesDmitry Kovalev, Aleksandr Beznosikov, Abdurakhmon Sadiev, Michael Persiianov, Peter Richtárik, Alexander V. Gasnikov. [doi]
- C-Mixup: Improving Generalization in RegressionHuaxiu Yao, Yiping Wang, Linjun Zhang, James Y. Zou, Chelsea Finn. [doi]
- GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial NetworksJinsung Jeon, Jeonghak Kim, Haryong Song, Seunghyeon Cho, Noseong Park. [doi]
- Active Learning with Neural Networks: Insights from Nonparametric StatisticsYinglun Zhu, Robert Nowak 0001. [doi]
- A Multi-Task Benchmark for Korean Legal Language Understanding and Judgement PredictionWonseok Hwang, Dongjun Lee, Kyoungyeon Cho, Hanuhl Lee, Minjoon Seo. [doi]
- Provable Subspace Identification Under Post-Nonlinear MixturesQi Lyu, Xiao Fu. [doi]
- Minimax Regret for Cascading BanditsDaniel Vial, Sujay Sanghavi, Sanjay Shakkottai, R. Srikant 0001. [doi]
- Temporally Disentangled Representation LearningWeiran Yao, Guangyi Chen 0002, Kun Zhang 0001. [doi]
- Solving Quantitative Reasoning Problems with Language ModelsAitor Lewkowycz, Anders Andreassen, David Dohan, Ethan Dyer, Henryk Michalewski, Vinay V. Ramasesh, Ambrose Slone, Cem Anil, Imanol Schlag, Theo Gutman-Solo, Yuhuai Wu, Behnam Neyshabur, Guy Gur-Ari, Vedant Misra. [doi]
- CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIPAndreas Fürst, Elisabeth Rumetshofer, Johannes Lehner, Viet T. Tran, Fei Tang, Hubert Ramsauer, David P. Kreil, Michael Kopp 0001, Günter Klambauer, Angela Bitto, Sepp Hochreiter. [doi]
- Graph Neural Networks are Dynamic ProgrammersAndrew Joseph Dudzik, Petar Velickovic. [doi]
- Efficient Training of Low-Curvature Neural NetworksSuraj Srinivas, Kyle Matoba, Himabindu Lakkaraju, François Fleuret. [doi]
- WT-MVSNet: Window-based Transformers for Multi-view StereoJinli Liao, Yikang Ding, Yoli Shavit, Dihe Huang, Shihao Ren, Jia Guo, WenSen Feng, Kai Zhang 0012. [doi]
- ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational ModelSrishti Gautam, Ahcène Boubekki, Stine Hansen, Suaiba Amina Salahuddin, Robert Jenssen, Marina M.-C. Höhne, Michael Kampffmeyer. [doi]
- One-Inlier is First: Towards Efficient Position Encoding for Point Cloud RegistrationFan Yang, Lin Guo, Zhi Chen, Wenbing Tao. [doi]
- Unsupervised Reinforcement Learning with Contrastive Intrinsic ControlMichael Laskin, Hao Liu 0055, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel. [doi]
- Estimating the Arc Length of the Optimal ROC Curve and Lower Bounding the Maximal AUCSong Liu. [doi]
- Is $L^2$ Physics Informed Loss Always Suitable for Training Physics Informed Neural Network?Chuwei Wang, Shanda Li, Di He, Liwei Wang 0001. [doi]
- On Kernelized Multi-Armed Bandits with ConstraintsXingyu Zhou 0001, Bo Ji 0001. [doi]
- Constrained Stochastic Nonconvex Optimization with State-dependent Markov DataAbhishek Roy 0005, Krishnakumar Balasubramanian 0002, Saeed Ghadimi. [doi]
- Hiding Images in Deep Probabilistic ModelsHaoyu Chen, Linqi Song, Zhenxing Qian, Xinpeng Zhang 0001, Kede Ma. [doi]
- "Lossless" Compression of Deep Neural Networks: A High-dimensional Neural Tangent Kernel ApproachLingyu Gu, Yongqi Du, Yuan Zhang, Di Xie, Shiliang Pu, Robert Qiu, Zhenyu Liao. [doi]
- Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential GameZhiyuan Yao, Zihan Ding. [doi]
- Cache-Augmented Inbatch Importance Resampling for Training Recommender RetrieverJin Chen, Defu Lian, Yucheng Li, Baoyun Wang, Kai Zheng, Enhong Chen. [doi]
- Model-Based Imitation Learning for Urban DrivingAnthony Hu, Gianluca Corrado, Nicolas Griffiths, Zachary Murez, Corina Gurau, Hudson Yeo, Alex Kendall, Roberto Cipolla, Jamie Shotton. [doi]
- Inductive Logical Query Answering in Knowledge GraphsMichael Galkin, Zhaocheng Zhu, Hongyu Ren, Jian Tang 0005. [doi]
- MSDS: A Large-Scale Chinese Signature and Token Digit String Dataset for Handwriting VerificationPeirong Zhang, Jiajia Jiang, Yuliang Liu, Lianwen Jin. [doi]
- Are Defenses for Graph Neural Networks Robust?Felix Mujkanovic, Simon Geisler, Stephan Günnemann, Aleksandar Bojchevski. [doi]
- Learning Superpoint Graph Cut for 3D Instance SegmentationLe Hui, Linghua Tang, Yaqi Shen, Jin Xie 0001, Jian Yang 0003. [doi]
- STNDT: Modeling Neural Population Activity with Spatiotemporal TransformersTrung Le, Eli Shlizerman. [doi]
- Fairness in Federated Learning via Core-StabilityBhaskar Ray Chaudhury, Linyi Li, Mintong Kang, Bo Li 0026, Ruta Mehta. [doi]
- Alleviating Adversarial Attacks on Variational Autoencoders with MCMCAnna Kuzina, Max Welling, Jakub M. Tomczak. [doi]
- Long-Form Video-Language Pre-Training with Multimodal Temporal Contrastive LearningYuchong Sun, Hongwei Xue, Ruihua Song, Bei Liu 0001, Huan Yang 0005, Jianlong Fu. [doi]
- Certifying Robust Graph Classification under Orthogonal Gromov-Wasserstein ThreatsHongwei Jin, Zishun Yu, Xinhua Zhang. [doi]
- Probable Domain Generalization via Quantile Risk MinimizationCian Eastwood, Alexander Robey, Shashank Singh 0011, Julius von Kügelgen, Hamed Hassani, George J. Pappas, Bernhard Schölkopf. [doi]
- JAWS: Auditing Predictive Uncertainty Under Covariate ShiftDrew Prinster, Anqi Liu, Suchi Saria. [doi]
- Reduced Representation of Deformation Fields for Effective Non-rigid Shape MatchingRamana Sundararaman, Riccardo Marin, Emanuele Rodolà, Maks Ovsjanikov. [doi]
- Batch size-invariance for policy optimizationJacob Hilton, Karl Cobbe, John Schulman. [doi]
- Understanding Programmatic Weak Supervision via Source-aware Influence FunctionJieyu Zhang, Haonan Wang, Cheng-Yu Hsieh, Alexander J. Ratner. [doi]
- An Asymptotically Optimal Batched Algorithm for the Dueling Bandit ProblemArpit Agarwal, Rohan Ghuge, Viswanath Nagarajan. [doi]
- LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part DiscoveryChun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang 0001, Varun Jampani. [doi]
- Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection ProblemsHyunwoong Chang, Changwoo J. Lee, Zhao Tang Luo, Huiyan Sang, Quan Zhou. [doi]
- Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium SolversLuke Marris, Ian Gemp, Thomas Anthony 0001, Andrea Tacchetti, Siqi Liu, Karl Tuyls. [doi]
- Universally Expressive Communication in Multi-Agent Reinforcement LearningMatthew Morris, Thomas D. Barrett, Arnu Pretorius. [doi]
- INRAS: Implicit Neural Representation for Audio ScenesKun Su, Mingfei Chen, Eli Shlizerman. [doi]
- The Gyro-Structure of Some Matrix ManifoldsXuan Son Nguyen. [doi]
- FourierNets enable the design of highly non-local optical encoders for computational imagingDiptodip Deb, Zhenfei Jiao, Ruth R. Sims, Alex B. Chen, Michael Broxton, Misha B. Ahrens, Kaspar Podgorski, Srinivas C. Turaga. [doi]
- SCAMPS: Synthetics for Camera Measurement of Physiological SignalsDaniel McDuff, Miah Wander, Xin Liu 0061, Brian L. Hill, Javier Hernandez, Jonathan Lester, Tadas Baltrusaitis. [doi]
- Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication ComplexityBingqing Song, Ioannis C. Tsaknakis, Chung-Yiu Yau, Hoi-To Wai, Mingyi Hong. [doi]
- Log-Linear-Time Gaussian Processes Using Binary Tree KernelsMichael K. Cohen, Samuel Daulton, Michael A. Osborne. [doi]
- TA-MoE: Topology-Aware Large Scale Mixture-of-Expert TrainingChang Chen, Min Li, Zhihua Wu, Dianhai Yu, Chao Yang. [doi]
- Bridging the Gap from Asymmetry Tricks to Decorrelation Principles in Non-contrastive Self-supervised LearningKang-Jun Liu, Masanori Suganuma, Takayuki Okatani. [doi]
- Efficiently Factorizing Boolean Matrices using Proximal Gradient DescentSebastian Dalleiger, Jilles Vreeken. [doi]
- Dataset Inference for Self-Supervised ModelsAdam Dziedzic, Haonan Duan, Muhammad Ahmad Kaleem, Nikita Dhawan, Jonas Guan, Yannis Cattan, Franziska Boenisch, Nicolas Papernot. [doi]
- Multi-Class $H$-Consistency BoundsPranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong 0002. [doi]
- SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax ProblemsXuan Zhang, Necdet Serhat Aybat, Mert Gürbüzbalaban. [doi]
- Bridge the Gap Between Architecture Spaces via A Cross-Domain PredictorYuqiao Liu 0002, Yehui Tang, Zeqiong Lv, Yunhe Wang, Yanan Sun 0001. [doi]
- A Unified Sequence Interface for Vision TasksTing Chen 0007, Saurabh Saxena, Lala Li, Tsung-Yi Lin, David J. Fleet, Geoffrey E. Hinton. [doi]
- Optimistic Mirror Descent Either Converges to Nash or to Strong Coarse Correlated Equilibria in Bimatrix GamesIoannis Anagnostides, Gabriele Farina, Ioannis Panageas, Tuomas Sandholm. [doi]
- House of Cans: Covert Transmission of Internal Datasets via Capacity-Aware Neuron SteganographyXudong Pan, Shengyao Zhang, Mi Zhang 0001, Yifan Yan, Min Yang 0007. [doi]
- Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for FreeAlexander Meinke, Julian Bitterwolf, Matthias Hein 0001. [doi]
- Momentum Aggregation for Private Non-convex ERMHoang Tran, Ashok Cutkosky. [doi]
- Sustainable Online Reinforcement Learning for Auto-biddingZhiyu Mou, Yusen Huo, Rongquan Bai, Mingzhou Xie, Chuan Yu, Jian Xu, Bo Zheng. [doi]
- Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D CameraHongrui Cai, Wanquan Feng, Xuetao Feng, Yan Wang, Juyong Zhang. [doi]
- A Solver-free Framework for Scalable Learning in Neural ILP ArchitecturesYatin Nandwani, Rishabh Ranjan, Mausam, Parag Singla. [doi]
- NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost ProxiesArjun Krishnakumar, Colin White, Arber Zela, Renbo Tu, Mahmoud Safari, Frank Hutter. [doi]
- Improving Multi-Task Generalization via Regularizing Spurious CorrelationZiniu Hu, Zhe Zhao 0001, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed H. Chi. [doi]
- Mask Matching Transformer for Few-Shot SegmentationSiyu Jiao, Gengwei Zhang, Shant Navasardyan, Ling Chen, Yao Zhao 0001, Yunchao Wei, Honghui Shi. [doi]
- Torsional Diffusion for Molecular Conformer GenerationBowen Jing, Gabriele Corso, Jeffrey Chang, Regina Barzilay, Tommi S. Jaakkola. [doi]
- Associating Objects and Their Effects in Video through Coordination GamesErika Lu, Forrester Cole, Weidi Xie, Tali Dekel, Bill Freeman, Andrew Zisserman, Michael Rubinstein. [doi]
- In the Eye of the Beholder: Robust Prediction with Causal User ModelingAmir Feder, Guy Horowitz, Yoav Wald, Roi Reichart, Nir Rosenfeld. [doi]
- Generic bounds on the approximation error for physics-informed (and) operator learningTim De Ryck, Siddhartha Mishra. [doi]
- Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial ExamplesMaura Pintor, Luca Demetrio, Angelo Sotgiu, Ambra Demontis, Nicholas Carlini, Battista Biggio, Fabio Roli. [doi]
- Spherical Channels for Modeling Atomic InteractionsLarry Zitnick, Abhishek Das, Adeesh Kolluru, Janice Lan, Muhammed Shuaibi, Anuroop Sriram, Zachary W. Ulissi, Brandon M. Wood. [doi]
- Contrastive Learning as Goal-Conditioned Reinforcement LearningBenjamin Eysenbach, Tianjun Zhang, Sergey Levine, Ruslan Salakhutdinov. [doi]
- Using Embeddings for Causal Estimation of Peer Influence in Social NetworksIrina Cristali, Victor Veitch. [doi]
- Structured Energy Network As a LossJay Yoon Lee, Dhruvesh Patel, Purujit Goyal, Wenlong Zhao, Zhiyang Xu, Andrew McCallum. [doi]
- Riemannian Neural SDE: Learning Stochastic Representations on ManifoldsSung-Woo Park, Hyomin Kim, Kyungjae Lee, Junseok Kwon. [doi]
- Symmetry Teleportation for Accelerated OptimizationBo Zhao, Nima Dehmamy, Robin Walters, Rose Yu. [doi]
- Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed NoiseEduard Gorbunov, Marina Danilova, David Dobre, Pavel E. Dvurechenskii, Alexander V. Gasnikov, Gauthier Gidel. [doi]
- Ordered Subgraph Aggregation NetworksChendi Qian, Gaurav Rattan, Floris Geerts, Mathias Niepert, Christopher Morris 0001. [doi]
- DaDA: Distortion-aware Domain Adaptation for Unsupervised Semantic SegmentationSujin Jang, Joohan Na, Dokwan Oh. [doi]
- A Deep Learning Dataloader with Shared Data PreparationJian Xie, Jingwei Xu 0001, Guochang Wang, Yuan Yao, Zenan Li, Chun Cao, Hanghang Tong. [doi]
- Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge GraphsRuijie Wang 0004, Zheng Li, Dachun Sun, Shengzhong Liu, Jinning Li, Bing Yin, Tarek F. Abdelzaher. [doi]
- CCCP is Frank-Wolfe in disguiseAlp Yurtsever, Suvrit Sra. [doi]
- Unsupervised Image-to-Image Translation with Density Changing RegularizationShaoan Xie, Qirong Ho, Kun Zhang 0001. [doi]
- Optimal Gradient Sliding and its Application to Optimal Distributed Optimization Under SimilarityDmitry Kovalev, Aleksandr Beznosikov, Ekaterina Borodich, Alexander V. Gasnikov, Gesualdo Scutari. [doi]
- Towards Robust Blind Face Restoration with Codebook Lookup TransformerShangchen Zhou, Kelvin C. K. Chan, Chongyi Li, Chen Change Loy. [doi]
- Procedural Image Programs for Representation LearningManel Baradad, Chun-Fu Richard Chen, Jonas Wulff, Tongzhou Wang 0001, Rogério Feris, Antonio Torralba 0001, Phillip Isola. [doi]
- Learning Efficient Vision Transformers via Fine-Grained Manifold DistillationZhiwei Hao, Jianyuan Guo, Ding Jia, Kai Han 0002, Yehui Tang, Chao Zhang 0001, Han Hu 0004, Yunhe Wang 0001. [doi]
- Mirror Descent Maximizes Generalized Margin and Can Be Implemented EfficientlyHaoyuan Sun, Kwangjun Ahn, Christos Thrampoulidis, Navid Azizan. [doi]
- KERPLE: Kernelized Relative Positional Embedding for Length ExtrapolationTa-Chung Chi, Ting-Han Fan, Peter J. Ramadge, Alexander Rudnicky. [doi]
- On Gap-dependent Bounds for Offline Reinforcement LearningXinqi Wang, Qiwen Cui, Simon S. Du. [doi]
- Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient DebiasZihan Liu, Yun Luo, Lirong Wu, Zicheng Liu 0006, Stan Z. Li. [doi]
- Doubly Robust Counterfactual ClassificationKwangho Kim, Edward H. Kennedy, José R. Zubizarreta. [doi]
- Learning State-Aware Visual Representations from Audible InteractionsHimangi Mittal, Pedro Morgado 0001, Unnat Jain, Abhinav Gupta. [doi]
- AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking KeypointsXingzhe He, Bastian Wandt, Helge Rhodin. [doi]
- High-dimensional limit theorems for SGD: Effective dynamics and critical scalingGérard Ben Arous, Reza Gheissari, Aukosh Jagannath. [doi]
- Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free OptimizationCaio Kalil Lauand, Sean P. Meyn. [doi]
- Heatmap Distribution Matching for Human Pose EstimationHaoxuan Qu, Li Xu, Yujun Cai, Lin Geng Foo, Jun Liu. [doi]
- Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple ScalesTao Liu 0035, P. R. Kumar 0001, Ruida Zhou, Xi Liu 0011. [doi]
- Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with AttributesAlessio Mazzetto, Cristina Menghini, Andrew Yuan, Eli Upfal, Stephen H. Bach. [doi]
- On the Interpretability of Regularisation for Neural Networks Through Model Gradient SimilarityVincent Szolnoky, Viktor Andersson, Balázs Kulcsár, Rebecka Jörnsten. [doi]
- Bezier Gaussian Processes for Tall and Wide DataMartin Jørgensen, Michael A. Osborne. [doi]
- Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing ConstantsAndrew M. Childs, Tongyang Li, Jin-Peng Liu, Chunhao Wang, Ruizhe Zhang 0001. [doi]
- A Reduction to Binary Approach for Debiasing Multiclass DatasetsIbrahim M. Alabdulmohsin, Jessica Schrouff, Sanmi Koyejo. [doi]
- Learning to Configure Computer Networks with Neural Algorithmic ReasoningLuca Beurer-Kellner, Martin T. Vechev, Laurent Vanbever, Petar Velickovic. [doi]
- Learning Debiased Classifier with Biased CommitteeNayeong Kim, Sehyun Hwang, Sungsoo Ahn, Jaesik Park, Suha Kwak. [doi]
- HyperTree Proof Search for Neural Theorem ProvingGuillaume Lample, Timothée Lacroix, Marie-Anne Lachaux, Aurélien Rodriguez, Amaury Hayat, Thibaut Lavril, Gabriel Ebner, Xavier Martinet. [doi]
- Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive ImagingYuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan 0002, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool. [doi]
- Learning Active Camera for Multi-Object NavigationPeihao Chen, Dongyu Ji, Kunyang Lin, Weiwen Hu, Wenbing Huang 0001, Thomas H. Li, Mingkui Tan, Chuang Gan. [doi]
- Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive LearningZiyi Zhang, Weikai Chen 0001, Hui Cheng, Zhen Li, Siyuan Li, Liang Lin, Guanbin Li. [doi]
- Draft-and-Revise: Effective Image Generation with Contextual RQ-TransformerDoyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han. [doi]
- Geometry-aware Two-scale PIFu Representation for Human ReconstructionZheng Dong, Ke Xu 0010, Ziheng Duan, Hujun Bao, Weiwei Xu, Rynson W. H. Lau. [doi]
- Pitfalls of Epistemic Uncertainty Quantification through Loss MinimisationViktor Bengs, Eyke Hüllermeier, Willem Waegeman. [doi]
- Adaptive Data Debiasing through Bounded ExplorationYifan Yang, Yang Liu 0018, Parinaz Naghizadeh. [doi]
- BOME! Bilevel Optimization Made Easy: A Simple First-Order ApproachBo Liu, Mao Ye, Stephen Wright, Peter Stone, Qiang Liu. [doi]
- A Theoretical Study on Solving Continual LearningGyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu 0001. [doi]
- Size and depth of monotone neural networks: interpolation and approximationDan Mikulincer, Daniel Reichman 0001. [doi]
- (Optimal) Online Bipartite Matching with Degree InformationAnders Aamand, Justin Y. Chen, Piotr Indyk. [doi]
- Not All Bits have Equal Value: Heterogeneous Precisions via Trainable NoisePedro Savarese, Xin Yuan, Yanjing Li, Michael Maire. [doi]
- VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel GridsKatja Schwarz, Axel Sauer, Michael Niemeyer, Yiyi Liao, Andreas Geiger 0001. [doi]
- Template based Graph Neural Network with Optimal Transport DistancesCédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty. [doi]
- Decentralized Training of Foundation Models in Heterogeneous EnvironmentsBinhang Yuan, Yongjun He, Jared Davis, Tianyi Zhang, Tri Dao, Beidi Chen, Percy Liang, Christopher Ré, Ce Zhang 0001. [doi]
- Multilingual Abusive Comment Detection at Scale for Indic LanguagesVikram Gupta, Sumegh Roychowdhury, Mithun Das, Somnath Banerjee, Punyajoy Saha, Binny Mathew, hastagiri prakash vanchinathan, Animesh Mukherjee 0001. [doi]
- A Kernelised Stein Statistic for Assessing Implicit Generative ModelsWenkai Xu, Gesine D. Reinert. [doi]
- Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust OptimizationYibo Zeng, Henry Lam. [doi]
- Open High-Resolution Satellite Imagery: The WorldStrat Dataset - With Application to Super-ResolutionJulien Cornebise, Ivan Orsolic, Freddie Kalaitzis. [doi]
- SAGDA: Achieving $\mathcal{O}(\epsilon^{-2})$ Communication Complexity in Federated Min-Max LearningHaibo Yang, Zhuqing Liu, Xin Zhang 0054, Jia Liu 0002. [doi]
- Taming Fat-Tailed ("Heavier-Tailed" with Potentially Infinite Variance) Noise in Federated LearningHaibo Yang, Peiwen Qiu, Jia Liu 0002. [doi]
- Less-forgetting Multi-lingual Fine-tuningYuren Mao, Yaobo Liang, Nan Duan, Haobo Wang, Kai Wang, Lu Chen 0001, Yunjun Gao. [doi]
- Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization AlgorithmAshish Kumar Jayant, Shalabh Bhatnagar. [doi]
- Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under ParallelizationBenjamin Dubois-Taine, Francis R. Bach, Quentin Berthet, Adrien B. Taylor. [doi]
- GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative GamesShichang Zhang, Yozen Liu, Neil Shah, Yizhou Sun. [doi]
- Instability and Local Minima in GAN Training with Kernel DiscriminatorsEvan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher. [doi]
- HorNet: Efficient High-Order Spatial Interactions with Recursive Gated ConvolutionsYongming Rao, Wenliang Zhao, Yansong Tang, Jie Zhou 0001, Ser-Nam Lim, Jiwen Lu. [doi]
- RISE: Robust Individualized Decision Learning with Sensitive VariablesXiaoqing Tan, Zhengling Qi, Christopher W. Seymour, Lu Tang 0003. [doi]
- Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror DescentYu Bai 0017, Chi Jin 0001, Song Mei, Ziang Song, Tiancheng Yu. [doi]
- TGEA 2.0: A Large-Scale Diagnostically Annotated Dataset with Benchmark Tasks for Text Generation of Pretrained Language ModelsHuibin Ge, Xiaohu Zhao, Chuang Liu, Yulong Zeng, Qun Liu 0001, Deyi Xiong. [doi]
- Models Out of Line: A Fourier Lens on Distribution Shift RobustnessSara Fridovich-Keil, Brian R. Bartoldson, James Diffenderfer, Bhavya Kailkhura, Timo Bremer. [doi]
- You Only Live Once: Single-Life Reinforcement LearningAnnie S. Chen, Archit Sharma, Sergey Levine, Chelsea Finn. [doi]
- Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed BanditsTianyuan Jin, Pan Xu 0002, Xiaokui Xiao, Anima Anandkumar. [doi]
- Misspecified Phase Retrieval with Generative PriorsZhaoqiang Liu, Xinshao Wang, Jiulong Liu. [doi]
- Optimal-er Auctions through AttentionDmitry Ivanov, Iskander Safiulin, Igor Filippov, Ksenia Balabaeva. [doi]
- A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEsFabian Falck, Christopher Williams, Dominic Danks, George Deligiannidis, Christopher Yau, Chris C. Holmes, Arnaud Doucet, Matthew Willetts. [doi]
- Chromatic Correlation Clustering, RevisitedQing Xiu, Kai Han, Jing Tang, Shuang Cui, He Huang. [doi]
- Long Range Graph BenchmarkVijay Prakash Dwivedi, Ladislav Rampásek, Michael Galkin, Ali Parviz, Guy Wolf, Anh Tuan Luu, Dominique Beaini. [doi]
- RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement LearningMarc Rigter, Bruno Lacerda, Nick Hawes. [doi]
- Text Classification with Born's RuleEmanuele Guidotti, Alfio Ferrara. [doi]
- Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction NetworksArian R. Jamasb, Ramón Viñas Torné 0001, Eric Ma, Yuanqi Du, Charles Harris, Kexin Huang, Dominic Hall, Pietro Lió, Tom L. Blundell. [doi]
- ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen EnvironmentJoseph DelPreto, Chao Liu, Yiyue Luo, Michael Foshey, Yunzhu Li, Antonio Torralba 0001, Wojciech Matusik, Daniela Rus. [doi]
- Graph Neural Networks with Adaptive ReadoutsDavid Buterez, Jon Paul Janet, Steven J. Kiddle, Dino Oglic, Pietro Liò. [doi]
- FlashAttention: Fast and Memory-Efficient Exact Attention with IO-AwarenessTri Dao, Daniel Y. Fu, Stefano Ermon, Atri Rudra, Christopher Ré. [doi]
- Parameter tuning and model selection in Optimal Transport with semi-dual Brenier formulationAdrien Vacher, François-Xavier Vialard. [doi]
- EnvPool: A Highly Parallel Reinforcement Learning Environment Execution EngineJiayi Weng, Min Lin, Shengyi Huang, Bo Liu, Denys Makoviichuk, Viktor Makoviychuk, Zichen Liu, Yufan Song, Ting Luo, Yukun Jiang, Zhongwen Xu, Shuicheng Yan. [doi]
- Concept Embedding Models: Beyond the Accuracy-Explainability Trade-OffMateo Espinosa Zarlenga, Pietro Barbiero, Gabriele Ciravegna, Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Zohreh Shams, Frédéric Precioso, Stefano Melacci, Adrian Weller, Pietro Lió, Mateja Jamnik. [doi]
- Cross-Linked Unified Embedding for cross-modality representation learningXinming Tu, Zhi-Jie Cao, Chenrui Xia, Sara Mostafavi, Ge Gao. [doi]
- Provably Efficient Model-Free Constrained RL with Linear Function ApproximationArnob Ghosh, Xingyu Zhou 0001, Ness B. Shroff. [doi]
- Subquadratic Kronecker Regression with Applications to Tensor DecompositionMatthew Fahrbach, Gang Fu, Mehrdad Ghadiri. [doi]
- Sequential Information Design: Learning to Persuade in the DarkMartino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti 0001, Francesco Trovò. [doi]
- Human-AI Shared Control via Policy DissectionQuanyi Li, Zhenghao Peng, Haibin Wu, Lan Feng, Bolei Zhou. [doi]
- Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural NetworksAnders Aamand, Justin Y. Chen, Piotr Indyk, Shyam Narayanan, Ronitt Rubinfeld, Nicholas Schiefer, Sandeep Silwal, Tal Wagner. [doi]
- Private Synthetic Data for Multitask Learning and Marginal QueriesGiuseppe Vietri, Cédric Archambeau, Sergül Aydöre, William Brown, Michael Kearns, Aaron Roth 0001, Amaresh Ankit Siva, Shuai Tang, Zhiwei Steven Wu. [doi]
- Adaptive Interest for Emphatic Reinforcement LearningMartin Klissarov, Rasool Fakoor, Jonas W. Mueller, Kavosh Asadi, Taesup Kim, Alexander J. Smola. [doi]
- PatchComplete: Learning Multi-Resolution Patch Priors for 3D Shape Completion on Unseen CategoriesYuchen Rao, Yinyu Nie, Angela Dai. [doi]
- DMAP: a Distributed Morphological Attention Policy for learning to locomote with a changing bodyAlberto Silvio Chiappa, Alessandro Marin Vargas, Alexander Mathis. [doi]
- Co-Modality Graph Contrastive Learning for Imbalanced Node ClassificationYiyue Qian, Chunhui Zhang, Yiming Zhang 0002, Qianlong Wen, Yanfang Ye 0001, Chuxu Zhang. [doi]
- SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image ClassificationXiyue Wang, Jinxi Xiang, Jun Zhang, Sen Yang, Zhongyi Yang, Ming-Hui Wang, Jing Zhang, Wei Yang 0032, JunZhou Huang, Xiao Han. [doi]
- Wavelet Feature Maps Compression for Image-to-Image CNNsShahaf E. Finder, Yair Zohav, Maor Ashkenazi, Eran Treister. [doi]
- A Transformer-Based Object Detector with Coarse-Fine Crossing RepresentationsZhishan Li, Ying Nie, Kai Han, Jianyuan Guo, Lei Xie, Yunhe Wang. [doi]
- Active Learning Polynomial Threshold FunctionsOmri Ben-Eliezer, Max Hopkins, Chutong Yang, Hantao Yu. [doi]
- Scalable Infomin LearningYanzhi Chen, Weihao Sun, Yingzhen Li, Adrian Weller. [doi]
- Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized OptimizationKun Yuan, Xinmeng Huang, Yiming Chen 0003, Xiaohan Zhang, Yingya Zhang, Pan Pan. [doi]
- APT-36K: A Large-scale Benchmark for Animal Pose Estimation and TrackingYuxiang Yang, Junjie Yang, Yufei Xu, Jing Zhang 0037, Long Lan, Dacheng Tao. [doi]
- A Theoretical Understanding of Gradient Bias in Meta-Reinforcement LearningBo Liu 0039, Xidong Feng, Jie Ren, Luo Mai, Rui Zhu, Haifeng Zhang 0002, Jun Wang 0012, Yaodong Yang 0001. [doi]
- Revisiting Heterophily For Graph Neural NetworksSitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup. [doi]
- APG: Adaptive Parameter Generation Network for Click-Through Rate PredictionBencheng Yan, Pengjie Wang, Kai Zhang, Feng Li, Hongbo Deng, Jian Xu, Bo Zheng. [doi]
- Accelerating Sparse Convolution with Column Vector-Wise SparsityYijun Tan, Kai Han, Kang Zhao, Xianzhi Yu, Zidong Du, Yunji Chen, Yunhe Wang, Jun Yao. [doi]
- Riemannian Score-Based Generative ModellingValentin De Bortoli, Emile Mathieu, Michael Hutchinson, James Thornton, Yee Whye Teh, Arnaud Doucet. [doi]
- The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax OptimizationDmitry Kovalev, Alexander V. Gasnikov. [doi]
- Sharp Analysis of Stochastic Optimization under Global Kurdyka-Lojasiewicz InequalityIlyas Fatkhullin, Jalal Etesami, Niao He, Negar Kiyavash. [doi]
- Flowification: Everything is a normalizing flowBálint Máté, Samuel Klein, Tobias Golling, François Fleuret. [doi]
- Shape And Structure Preserving Differential PrivacyCarlos Soto, Karthik Bharath, Matthew Reimherr, Aleksandra B. Slavkovic. [doi]
- Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert SpaceHeng Lian. [doi]
- Better SGD using Second-order MomentumHoang Tran, Ashok Cutkosky. [doi]
- Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image ClassificationLinhao Qu, Xiaoyuan Luo, Manning Wang, Zhijian Song. [doi]
- CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image SynthesisShichong Peng, Seyed Alireza Moazenipourasil, Ke Li 0011. [doi]
- Counterfactual harmJonathan G. Richens, Rory Beard, Daniel H. Thompson. [doi]
- MAtt: A Manifold Attention Network for EEG DecodingYue-Ting Pan, Jing-Lun Chou, Chun-Shu Wei. [doi]
- Formalizing Consistency and Coherence of Representation LearningHarald Strömfelt, Luke Dickens, Artur S. d'Avila Garcez, Alessandra Russo. [doi]
- Data Augmentation MCMC for Bayesian Inference from Privatized DataNianqiao Ju, Jordan Awan, Ruobin Gong, Vinayak Rao. [doi]
- Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov GamesSihan Zeng, Thinh T. Doan 0001, Justin Romberg. [doi]
- Versatile Multi-stage Graph Neural Network for Circuit RepresentationShuwen Yang, Zhihao Yang, Dong Li 0030, Yingxue Zhang 0001, Zhanguang Zhang, Guojie Song, Jianye Hao. [doi]
- On Non-Linear operators for Geometric Deep LearningGrégoire Sergeant-Perthuis, Jakob Maier, Joan Bruna, Edouard Oyallon. [doi]
- Distributionally Adaptive Meta Reinforcement LearningAnurag Ajay, Abhishek Gupta 0004, Dibya Ghosh, Sergey Levine, Pulkit Agrawal. [doi]
- Cluster and Aggregate: Face Recognition with Large Probe SetMinchul Kim, Feng Liu 0037, Anil K. Jain 0001, Xiaoming Liu 0002. [doi]
- Preservation of the Global Knowledge by Not-True Distillation in Federated LearningGihun Lee, Minchan Jeong, Yongjin Shin, Sangmin Bae, Se-Young Yun. [doi]
- Multi-LexSum: Real-world Summaries of Civil Rights Lawsuits at Multiple GranularitiesZejiang Shen, Kyle Lo, Lauren Yu, Nathan Dahlberg, Margo Schlanger, Doug Downey. [doi]
- Generative Neural Articulated Radiance FieldsAlexander W. Bergman, Petr Kellnhofer, Yifan Wang, Eric R. Chan, David B. Lindell, Gordon Wetzstein. [doi]
- Combining Explicit and Implicit Regularization for Efficient Learning in Deep NetworksDan Zhao. [doi]
- Task-Free Continual Learning via Online Discrepancy Distance LearningFei Ye 0004, Adrian G. Bors. [doi]
- Weak-shot Semantic Segmentation via Dual Similarity TransferJunjie Chen, Li Niu 0002, Siyuan Zhou, Jianlou Si, Chen Qian 0006, Liqing Zhang 0001. [doi]
- Teacher Forcing Recovers Reward Functions for Text GenerationYongchang Hao, Yuxin Liu, Lili Mou. [doi]
- Cross Aggregation Transformer for Image RestorationZheng Chen, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan. [doi]
- Few-shot Learning for Feature Selection with Hilbert-Schmidt Independence CriterionAtsutoshi Kumagai, Tomoharu Iwata, Yasutoshi Ida, Yasuhiro Fujiwara. [doi]
- Random Rank: The One and Only Strategyproof and Proportionally Fair Randomized Facility Location MechanismHaris Aziz 0001, Alexander Lam, Mashbat Suzuki, Toby Walsh. [doi]
- When are Local Queries Useful for Robust Learning?Pascale Gourdeau, Varun Kanade, Marta Kwiatkowska, James Worrell 0001. [doi]
- Visual Concepts TokenizationTao Yang, Yuwang Wang, Yan Lu, Nanning Zheng 0001. [doi]
- Why neural networks find simple solutions: The many regularizers of geometric complexityBenoit Dherin, Michael Munn, Mihaela Rosca, David Barrett 0001. [doi]
- VICE: Variational Interpretable Concept EmbeddingsLukas Muttenthaler, Charles Y. Zheng, Patrick McClure, Robert A. Vandermeulen, Martin N. Hebart, Francisco Pereira. [doi]
- On the Frequency-bias of Coordinate-MLPsSameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey. [doi]
- HandMeThat: Human-Robot Communication in Physical and Social EnvironmentsYanming Wan, Jiayuan Mao, Josh Tenenbaum 0001. [doi]
- An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal EffectsThanh Vinh Vo, Arnab Bhattacharyya 0001, Young Lee, Tze-Yun Leong. [doi]
- Object-Category Aware Reinforcement LearningQi Yi, Rui Zhang 0040, Shaohui Peng, Jiaming Guo, Xing Hu 0001, Zidong Du, Xishan Zhang, Qi Guo 0001, Yunji Chen. [doi]
- Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided ApproachKaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao. [doi]
- Few-shot Relational Reasoning via Connection Subgraph PretrainingQian Huang, Hongyu Ren, Jure Leskovec. [doi]
- Smooth Fictitious Play in Stochastic Games with Perturbed Payoffs and Unknown TransitionsLucas Baudin, Rida Laraki. [doi]
- Structural Pruning via Latency-Saliency KnapsackMaying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, Jose M. Alvarez. [doi]
- A Simple Decentralized Cross-Entropy MethodZichen Zhang 0001, Jun Jin 0001, Martin Jägersand, Jun Luo 0009, Dale Schuurmans. [doi]
- Improving Transformer with an Admixture of Attention HeadsTan Nguyen, Tam Nguyen, Hai Do, Khai Nguyen, Vishwanath Saragadam, Minh Pham 0003, Duy Khuong Nguyen, Nhat Ho, Stanley J. Osher. [doi]
- Factuality Enhanced Language Models for Open-Ended Text GenerationNayeon Lee, Wei Ping, Peng Xu, Mostofa Patwary, Pascale Fung, Mohammad Shoeybi, Bryan Catanzaro. [doi]
- VLMbench: A Compositional Benchmark for Vision-and-Language ManipulationKaizhi Zheng, Xiaotong Chen, Odest Chadwicke Jenkins, Xin Wang. [doi]
- LGDN: Language-Guided Denoising Network for Video-Language ModelingHaoyu Lu, Mingyu Ding, Nanyi Fei, Yuqi Huo, Zhiwu Lu 0001. [doi]
- Anticipating Performativity by Predicting from PredictionsCelestine Mendler-Dünner, Frances Ding, Yixin Wang. [doi]
- Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model MisspecificationTakumi Tanabe, Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto. [doi]
- Acceleration in Distributed Sparse RegressionMarie Maros, Gesualdo Scutari. [doi]
- Understanding Deep Contrastive Learning via Coordinate-wise OptimizationYuandong Tian. [doi]
- C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic ForecastingShane Bergsma, Timothy Zeyl, Javad Rahimipour Anaraki, Lei Guo. [doi]
- Is Integer Arithmetic Enough for Deep Learning Training?Alireza Ghaffari, Marzieh S. Tahaei, Mohammadreza Tayaranian, Masoud Asgharian, Vahid Partovi Nia. [doi]
- Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage AnalysisMengwei Ren, Neel Dey, Martin Styner, Kelly N. Botteron, Guido Gerig. [doi]
- CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label ClassificationSiddhant Kharbanda, Atmadeep Banerjee, Erik Schultheis, Rohit Babbar. [doi]
- Decomposed Knowledge Distillation for Class-Incremental Semantic SegmentationDonghyeon Baek, Youngmin Oh, Sanghoon Lee, Junghyup Lee, Bumsub Ham. [doi]
- An Embarrassingly Simple Approach to Semi-Supervised Few-Shot LearningXiu-Shen Wei, H. Y. Xu, Faen Zhang, Yuxin Peng, Wei Zhou. [doi]
- Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-ClassGuan Gui, Zhen Zhao, Lei Qi 0001, Luping Zhou, Lei Wang 0001, Yinghuan Shi. [doi]
- Multi-Game Decision TransformersKuang-Huei Lee, Ofir Nachum, Mengjiao Yang, Lisa Lee, Daniel Freeman, Sergio Guadarrama, Ian Fischer, Winnie Xu, Eric Jang, Henryk Michalewski, Igor Mordatch. [doi]
- ZARTS: On Zero-order Optimization for Neural Architecture SearchXiaoxing Wang, Wenxuan Guo, Jianlin Su, Xiaokang Yang, Junchi Yan. [doi]
- AttCAT: Explaining Transformers via Attentive Class Activation TokensYao Qiang, Deng Pan, Chengyin Li, Xin Li, RhongHo Jang, Dongxiao Zhu. [doi]
- Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gapLuca Pesce, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová. [doi]
- The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data RegimesPeter Kocsis 0001, Peter Súkeník, Guillem Brasó, Matthias Nießner, Laura Leal-Taixé, Ismail Elezi. [doi]
- HumanLiker: A Human-like Object Detector to Model the Manual Labeling ProcessHaoran Wei, Ping Guo, Yangguang Zhu, Chenglong Liu, Peng Wang. [doi]
- CLiMB: A Continual Learning Benchmark for Vision-and-Language TasksTejas Srinivasan, Ting-Yun Chang, Leticia Leonor Pinto Alva, Georgios Chochlakis, Mohammad Rostami, Jesse Thomason. [doi]
- A Spectral Approach to Item Response TheoryDuc Nguyen, Anderson Ye Zhang. [doi]
- A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label ComplexitySeo Taek Kong, Soomin Jeon, Dongbin Na, Jaewon Lee, Hong-Seok Lee, Kyu-Hwan Jung. [doi]
- Revisiting Sliced Wasserstein on Images: From Vectorization to ConvolutionKhai Nguyen, Nhat Ho. [doi]
- Moment Distributionally Robust Tree Structured PredictionYeshu Li, Danyal Saeed, Xinhua Zhang, Brian D. Ziebart, Kevin Gimpel. [doi]
- Private Multiparty Perception for NavigationHui Lu, Mia Chiquier, Carl Vondrick. [doi]
- Non-Convex Bilevel Games with Critical Point Selection MapsMichael Arbel, Julien Mairal. [doi]
- Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample ComplexityAbhishek Gupta 0004, Aldo Pacchiano, Yuexiang Zhai, Sham M. Kakade, Sergey Levine. [doi]
- A Boosting Approach to Reinforcement LearningNataly Brukhim, Elad Hazan, Karan Singh. [doi]
- Analyzing Lottery Ticket Hypothesis from PAC-Bayesian Theory PerspectiveKeitaro Sakamoto, Issei Sato. [doi]
- A Deep Reinforcement Learning Framework for Column GenerationCheng Chi, Amine Aboussalah, Elias B. Khalil, Juyoung Wang, Zoha Sherkat-Masoumi. [doi]
- Depth is More Powerful than Width with Prediction Concatenation in Deep ForestShen-Huan Lyu, Yi-Xiao He, Zhi-Hua Zhou. [doi]
- Conditional Meta-Learning of Linear RepresentationsGiulia Denevi, Massimiliano Pontil, Carlo Ciliberto. [doi]
- EfficientFormer: Vision Transformers at MobileNet SpeedYanyu Li, Geng Yuan, Yang Wen, Ju Hu, Georgios Evangelidis 0002, Sergey Tulyakov, Yanzhi Wang, Jian Ren. [doi]
- LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement LearningMingyu Yang, Jian Zhao 0018, Xunhan Hu, Wengang Zhou, Jiangcheng Zhu, Houqiang Li. [doi]
- S3GC: Scalable Self-Supervised Graph ClusteringFnu Devvrit, Aditya Sinha, Inderjit S. Dhillon, Prateek Jain 0002. [doi]
- Deep Model ReassemblyXingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang. [doi]
- Multiclass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept ClassesAlkis Kalavasis, Grigoris Velegkas, Amin Karbasi. [doi]
- Trading off Utility, Informativeness, and Complexity in Emergent CommunicationMycal Tucker, Roger Levy, Julie A. Shah, Noga Zaslavsky. [doi]
- A Greek Parliament Proceedings Dataset for Computational Linguistics and Political AnalysisKonstantina Dritsa, Aikaterini Thoma, Ioannis Pavlopoulos, Panos Louridas. [doi]
- Efficient and Effective Multi-task Grouping via Meta Learning on Task CombinationsXiaozhuang Song, Shun Zheng, Wei Cao, James J. Q. Yu, Jiang Bian 0002. [doi]
- Surprise Minimizing Multi-Agent Learning with Energy-based ModelsKarush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis, Yuri A. Lawryshyn. [doi]
- WeightedSHAP: analyzing and improving Shapley based feature attributionsYongchan Kwon, James Y. Zou. [doi]
- On Divergence Measures for Bayesian PseudocoresetsBalhae Kim, Jungwon Choi, Seanie Lee, Yoonho Lee 0001, Jung-Woo Ha 0001, Juho Lee 0001. [doi]
- Counterfactual Temporal Point ProcessesKimia Noorbakhsh, Manuel Gomez-Rodriguez. [doi]
- Sound and Complete Causal Identification with Latent Variables Given Local Background KnowledgeTian-Zuo Wang, Tian Qin, Zhi-Hua Zhou. [doi]
- MExMI: Pool-based Active Model Extraction Crossover Membership InferenceYaxin Xiao, Qingqing Ye 0001, Haibo Hu 0001, Huadi Zheng, Chengfang Fang, Jie Shi. [doi]
- On the Effectiveness of Fine-tuning Versus Meta-reinforcement LearningMandi Zhao, Pieter Abbeel, Stephen James. [doi]
- Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear RegretOrestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai. [doi]
- Model-Based Opponent ModelingXiaopeng Yu, Jiechuan Jiang, Wanpeng Zhang, Haobin Jiang, Zongqing Lu. [doi]
- Tight Mutual Information Estimation With Contrastive Fenchel-Legendre OptimizationQing Guo, Junya Chen, Dong Wang 0037, Yuewei Yang, Xinwei Deng, Jing Huang, Lawrence Carin, Fan Li, Chenyang Tao. [doi]
- High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the RepresentationJimmy Ba, Murat A. Erdogdu, Taiji Suzuki, Zhichao Wang, Denny Wu, Greg Yang. [doi]
- DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement LearningQuan Vuong, Aviral Kumar, Sergey Levine, Yevgen Chebotar. [doi]
- The Impact of Task Underspecification in Evaluating Deep Reinforcement LearningVindula Jayawardana, Catherine Tang, Sirui Li, Dajiang Suo, Cathy Wu 0002. [doi]
- Provable Generalization of Overparameterized Meta-learning Trained with SGDYu Huang, Yingbin Liang, Longbo Huang. [doi]
- Active Learning for Multiple Target ModelsYing-Peng Tang, Sheng-Jun Huang. [doi]
- Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports GameGuiliang Liu, Yudong Luo, Oliver Schulte, Pascal Poupart. [doi]
- FiLM: Frequency improved Legendre Memory Model for Long-term Time Series ForecastingTian Zhou, Ziqing Ma, Xue Wang, Qingsong Wen, Liang Sun 0001, Tao Yao, Wotao Yin, Rong Jin 0001. [doi]
- Dense Interspecies Face EmbeddingSejong Yang, Subin Jeon, Seonghyeon Nam, Seon Joo Kim. [doi]
- Additive MIL: Intrinsically Interpretable Multiple Instance Learning for PathologySyed Ashar Javed, Dinkar Juyal, Harshith Padigela, Amaro Taylor-Weiner, Limin Yu, Aaditya Prakash. [doi]
- ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic SegmentationYoungmin Oh, Donghyeon Baek, Bumsub Ham. [doi]
- Multi-Sample Training for Neural Image CompressionTongda Xu, Yan Wang 0080, Dailan He, Chenjian Gao, Han Gao, Kunzan Liu, Hongwei Qin. [doi]
- LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer LearningYi-Lin Sung, Jaemin Cho 0001, Mohit Bansal. [doi]
- MCMAE: Masked Convolution Meets Masked AutoencodersPeng Gao, Teli Ma, Hongsheng Li, Ziyi Lin, Jifeng Dai, Yu Qiao. [doi]
- Rethinking Image Restoration for Object DetectionShangquan Sun, Wenqi Ren, Tao Wang, Xiaochun Cao. [doi]
- Stability and Generalization for Markov Chain Stochastic Gradient MethodsPuyu Wang, Yunwen Lei, Yiming Ying, Ding-Xuan Zhou. [doi]
- A Differentiable Semantic Metric Approximation in Probabilistic Embedding for Cross-Modal RetrievalHao Li, Jingkuan Song, Lianli Gao, Pengpeng Zeng, Haonan Zhang, Gongfu Li. [doi]
- Discovering Design Concepts for CAD SketchesYuezhi Yang, Hao Pan. [doi]
- Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole PictureMyong Chol Jung, He Zhao 0001, Joanna Dipnall, Belinda Gabbe, Lan Du 0002. [doi]
- Self-Supervised Learning of Brain Dynamics from Broad Neuroimaging DataArmin W. Thomas, Christopher Ré, Russell A. Poldrack. [doi]
- Monte Carlo Augmented Actor-Critic for Sparse Reward Deep Reinforcement Learning from Suboptimal DemonstrationsAlbert Wilcox, Ashwin Balakrishna, Jules Dedieu, Wyame Benslimane, Daniel S. Brown, Ken Goldberg. [doi]
- Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative LearningQihua Zhou, Song Guo 0001, Yi Liu, Jie Zhang, Jiewei Zhang, Tao Guo, Zhenda Xu, Xun Liu, Zhihao Qu. [doi]
- SIXO: Smoothing Inference with Twisted ObjectivesDieterich Lawson, Allan Raventós, Andrew Warrington, Scott W. Linderman. [doi]
- BYOL-Explore: Exploration by Bootstrapped PredictionZhaohan Guo, Shantanu Thakoor, Miruna Pislar, Bernardo Ávila Pires, Florent Altché, Corentin Tallec, Alaa Saade, Daniele Calandriello, Jean-Bastien grill, Yunhao Tang, Michal Valko, Rémi Munos, Mohammad Gheshlaghi Azar, Bilal Piot. [doi]
- A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear ModelsLijia Zhou, Frederic Koehler, Pragya Sur, Danica J. Sutherland, Nati Srebro. [doi]
- Learning Long-Term Crop Management Strategies with CyclesGymMatteo Turchetta, Luca Corinzia, Scott Sussex, Amanda Burton, Juan Herrera, Ioannis Athanasiadis, Joachim M. Buhmann, Andreas Krause 0001. [doi]
- Aligning individual brains with fused unbalanced Gromov WassersteinAlexis Thual, Quang-Huy Tran, Tatiana Zemskova, Nicolas Courty, Rémi Flamary, Stanislas Dehaene, Bertrand Thirion. [doi]
- GAGA: Deciphering Age-path of Generalized Self-paced RegularizerXingyu Qu, Diyang Li, Xiaohan Zhao, Bin Gu 0001. [doi]
- Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training BenchmarkJiaxi Gu, Xiaojun Meng, Guansong Lu, Lu Hou, Niu Minzhe, Xiaodan Liang, Lewei Yao, Runhui Huang, Wei Zhang, Xin Jiang, Chunjing Xu, Hang Xu. [doi]
- Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement LearningRujie Zhong, Duohan Zhang, Lukas Schäfer 0001, Stefano V. Albrecht, Josiah Hanna. [doi]
- Signal Recovery with Non-Expansive Generative Network PriorsJorio Cocola. [doi]
- Faster and Scalable Algorithms for Densest Subgraph and DecompositionElfarouk Harb, Kent Quanrud, Chandra Chekuri. [doi]
- Dynamic Pricing with Monotonicity Constraint under Unknown Parametric Demand ModelSu Jia, Andrew A. Li, R. Ravi 0001. [doi]
- End-to-end Stochastic Optimization with Energy-based ModelLingkai Kong, Jiaming Cui, Yuchen Zhuang, Rui Feng, B. Aditya Prakash, Chao Zhang. [doi]
- Adversarially Robust Learning: A Generic Minimax Optimal Learner and CharacterizationOmar Montasser, Steve Hanneke, Nati Srebro. [doi]
- Communication-efficient distributed eigenspace estimation with arbitrary node failuresVasileios Charisopoulos, Anil Damle. [doi]
- CLEAR: Generative Counterfactual Explanations on GraphsJing Ma, Ruocheng Guo, Saumitra Mishra, Aidong Zhang, Jundong Li. [doi]
- VoiceBlock: Privacy through Real-Time Adversarial Attacks with Audio-to-Audio ModelsPatrick O'Reilly, Andreas Bugler, Keshav Bhandari, Max Morrison, Bryan Pardo. [doi]
- WaveBound: Dynamic Error Bounds for Stable Time Series ForecastingYoungin Cho, Daejin Kim, Dongmin Kim, Mohammad Azam Khan, Jaegul Choo. [doi]
- Communication Efficient Federated Learning for Generalized Linear BanditsChuanhao Li, Hongning Wang. [doi]
- Teach Less, Learn More: On the Undistillable Classes in Knowledge DistillationYichen Zhu, Ning Liu, Zhiyuan Xu, Xin Liu, Weibin Meng, Louis Wang, Zhicai Ou, Jian Tang 0008. [doi]
- GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling GeneralizationXuhai Xu, Han Zhang, Yasaman S. Sefidgar, Yiyi Ren, Xin Liu, Woosuk Seo, Jennifer Brown, Kevin S. Kuehn, Mike A. Merrill, Paula S. Nurius, Shwetak N. Patel, Tim Althoff, Margaret Morris, Eve A. Riskin, Jennifer Mankoff, Anind K. Dey. [doi]
- Phase Transition from Clean Training to Adversarial TrainingYue Xing, Qifan Song, Guang Cheng 0003. [doi]
- SketchBoost: Fast Gradient Boosted Decision Tree for Multioutput ProblemsLeonid Iosipoi, Anton Vakhrushev. [doi]
- What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability MethodsJulien Colin, Thomas Fel, Rémi Cadène, Thomas Serre. [doi]
- Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning RulesKazuki Irie, Francesco Faccio, Jürgen Schmidhuber. [doi]
- GraB: Finding Provably Better Data Permutations than Random ReshufflingYucheng Lu, Wentao Guo, Christopher De Sa. [doi]
- When to Make Exceptions: Exploring Language Models as Accounts of Human Moral JudgmentZhijing Jin, Sydney Levine, Fernando Gonzalez Adauto, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Josh Tenenbaum 0001, Bernhard Schölkopf. [doi]
- Your Out-of-Distribution Detection Method is Not Robust!Mohammad Azizmalayeri, Arshia Soltani Moakhar, Arman Zarei, Reihaneh Zohrabi, Mohammad Manzuri, Mohammad Hossein Rohban. [doi]
- JAHS-Bench-201: A Foundation For Research On Joint Architecture And Hyperparameter SearchArchit Bansal, Danny Stoll, Maciej Janowski, Arber Zela, Frank Hutter. [doi]
- Lower Bounds on Randomly Preconditioned Lasso via Robust Sparse DesignsJonathan A. Kelner, Frederic Koehler, Raghu Meka, Dhruv Rohatgi. [doi]
- Hedging as Reward Augmentation in Probabilistic Graphical ModelsDebarun Bhattacharjya, Radu Marinescu 0002. [doi]
- A Direct Approximation of AIXI Using Logical State AbstractionsSamuel Yang-Zhao, Tianyu Wang, Kee Siong Ng. [doi]
- Towards Learning Universal Hyperparameter Optimizers with TransformersYutian Chen, Xingyou Song, Chansoo Lee, Zi Wang, Richard Zhang 0003, David Dohan, Kazuya Kawakami, Greg Kochanski, Arnaud Doucet, Marc'Aurelio Ranzato, Sagi Perel, Nando de Freitas. [doi]
- Fair Wrapping for Black-box PredictionsAlexander Soen, Ibrahim M. Alabdulmohsin, Sanmi Koyejo, Yishay Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun 0001, Lexing Xie. [doi]
- Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement LearningYitian Hong, Yaochu Jin, Yang Tang. [doi]
- DataMUX: Data Multiplexing for Neural NetworksVishvak Murahari, Carlos E. Jimenez, Runzhe Yang, Karthik Narasimhan. [doi]
- Unsupervised Adaptation from Repeated Traversals for Autonomous DrivingYurong You, Cheng Perng Phoo, Katie Luo, Travis Zhang, Wei-Lun Chao, Bharath Hariharan, Mark Campbell 0001, Kilian Q. Weinberger. [doi]
- Knowledge Distillation: Bad Models Can Be Good Role ModelsGal Kaplun, Eran Malach, Preetum Nakkiran, Shai Shalev-Shwartz. [doi]
- Dynamic pricing and assortment under a contextual MNL demandNoémie Périvier, Vineet Goyal. [doi]
- Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARLFengzhuo Zhang, Boyi Liu, Kaixin Wang, Vincent Y. F. Tan, Zhuoran Yang, Zhaoran Wang. [doi]
- Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the CentroidJing Xu, Xu Luo 0003, Xinglin Pan, Yanan Li, Wenjie Pei, Zenglin Xu. [doi]
- Off-Policy Evaluation with Deficient Support Using Side InformationNicolò Felicioni, Maurizio Ferrari Dacrema, Marcello Restelli, Paolo Cremonesi. [doi]
- OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal TransportZongsheng Cao, Qianqian Xu, Zhiyong Yang 0001, Yuan He, Xiaochun Cao, Qingming Huang. [doi]
- Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global ConvergenceBoyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu Nie, Zhaoran Wang. [doi]
- Reinforced Genetic Algorithm for Structure-based Drug DesignTianfan Fu, Wenhao Gao 0001, Connor W. Coley, Jimeng Sun 0001. [doi]
- So3krates: Equivariant attention for interactions on arbitrary length-scales in molecular systemsJ. Thorben Frank, Oliver T. Unke, Klaus-Robert Müller. [doi]
- Towards Diverse and Faithful One-shot Adaption of Generative Adversarial NetworksYabo Zhang, Mingshuai Yao, Yuxiang Wei 0001, Zhilong Ji, Jinfeng Bai, Wangmeng Zuo. [doi]
- CARD: Classification and Regression Diffusion ModelsXizewen Han, Huangjie Zheng, Mingyuan Zhou. [doi]
- Instance-optimal PAC Algorithms for Contextual BanditsZhaoqi Li, Lillian J. Ratliff, Houssam Nassif, Kevin G. Jamieson, Lalit Jain. [doi]
- Toward Efficient Robust Training against Union of $\ell_p$ Threat ModelsGaurang Sriramanan, Maharshi Gor, Soheil Feizi. [doi]
- DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited AnnotationsXimeng Sun, Ping Hu, Kate Saenko. [doi]
- Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble SolutionXueying Ding, Lingxiao Zhao, Leman Akoglu. [doi]
- Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal AssumptionsOmri Ben-Eliezer, Dan Mikulincer, Ilias Zadik. [doi]
- Contextual Dynamic Pricing with Unknown Noise: Explore-then-UCB Strategy and Improved RegretsYiyun Luo, Will Wei Sun, Yufeng Liu. [doi]
- On-Device Training Under 256KB MemoryJi Lin 0002, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han 0003. [doi]
- List-Decodable Sparse Mean EstimationShiwei Zeng, Jie Shen 0005. [doi]
- Self-supervised Heterogeneous Graph Pre-training Based on Structural ClusteringYaming Yang 0002, Ziyu Guan, Zhe Wang, Wei Zhao 0019, Cai Xu, Weigang Lu, Jianbin Huang. [doi]
- Wasserstein $K$-means for clustering probability distributionsYubo Zhuang, Xiaohui Chen, Yun Yang. [doi]
- PointNeXt: Revisiting PointNet++ with Improved Training and Scaling StrategiesGuocheng Qian, Yuchen Li, Houwen Peng, Jinjie Mai, Hasan Hammoud, Mohamed Elhoseiny, Bernard Ghanem. [doi]
- Neur2SP: Neural Two-Stage Stochastic ProgrammingRahul Patel, Justin Dumouchelle, Elias B. Khalil, Merve Bodur. [doi]
- Training Subset Selection for Weak SupervisionHunter Lang, Aravindan Vijayaraghavan, David A. Sontag. [doi]
- Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement LearningDavid Bertoin, Adil Zouitine, Mehdi Zouitine, Emmanuel Rachelson. [doi]
- AniFaceGAN: Animatable 3D-Aware Face Image Generation for Video AvatarsYue Wu 0012, Yu Deng, Jiaolong Yang, Fangyun Wei, Qifeng Chen, Xin Tong 0001. [doi]
- BigBio: A Framework for Data-Centric Biomedical Natural Language ProcessingJason A. Fries, Leon Weber, Natasha Seelam, Gabriel Altay, Debajyoti Datta, Samuele Garda, Sunny Kang, Rosaline Su, Wojciech Kusa, Samuel Cahyawijaya, Fabio Barth, Simon Ott, Matthias Samwald, Stephen H. Bach, Stella Biderman, Mario Sänger, Bo Wang, Alison Callahan, Daniel León Periñán, Théo Gigant, Patrick Haller, Jenny Chim, José D. Posada, John M. Giorgi, Karthik Rangasai Sivaraman, Marc Pàmies, Marianna Nezhurina, Robert Martin, Michael Cullan, Moritz Freidank, Nathan Dahlberg, Shubhanshu Mishra, Shamik Bose, Nicholas Broad, Yanis Labrak, Shlok Deshmukh, Sid Kiblawi, Ayush Singh, Minh Chien Vu, Trishala Neeraj, Jonas Golde, Albert Villanova del Moral, Benjamin Beilharz. [doi]
- Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested SubspacesLeonard Papenmeier, Luigi Nardi, Matthias Poloczek. [doi]
- Markovian Interference in ExperimentsVivek F. Farias, Andrew A. Li, Tianyi Peng, Andrew Zheng. [doi]
- Characterizing the Ventral Visual Stream with Response-Optimized Neural Encoding ModelsMeenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu. [doi]
- Dynamic Graph Neural Networks Under Spatio-Temporal Distribution ShiftZeyang Zhang, Xin Wang 0019, Ziwei Zhang, Haoyang Li, Zhou Qin, Wenwu Zhu 0001. [doi]
- Formulating Robustness Against Unforeseen AttacksSihui Dai, Saeed Mahloujifar, Prateek Mittal. [doi]
- Single-pass Streaming Lower Bounds for Multi-armed Bandits Exploration with Instance-sensitive Sample ComplexitySepehr Assadi, Chen Wang 0027. [doi]
- Zero-Shot 3D Drug Design by Sketching and GeneratingSiyu Long, Yi Zhou, Xinyu Dai, Hao Zhou. [doi]
- Do Current Multi-Task Optimization Methods in Deep Learning Even Help?Derrick Xin, Behrooz Ghorbani, Justin Gilmer, Ankush Garg, Orhan Firat. [doi]
- Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great AgainAjay Jaiswal, Peihao Wang, Tianlong Chen, Justin F. Rousseau, Ying Ding 0001, Zhangyang Wang. [doi]
- Roadblocks for Temporarily Disabling Shortcuts and Learning New KnowledgeHongjing Niu, Hanting Li, Feng Zhao 0004, Bin Li 0025. [doi]
- Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimalityVudtiwat Ngampruetikorn, David J. Schwab. [doi]
- MVP-N: A Dataset and Benchmark for Real-World Multi-View Object ClassificationRen Wang, Jiayue Wang, Tae Sung Kim, Jinsung Kim, Hyuk-Jae Lee. [doi]
- Hierarchical Lattice Layer for Partially Monotone Neural NetworksHiroki Yanagisawa, Kohei Miyaguchi, Takayuki Katsuki. [doi]
- Efficient learning of nonlinear prediction models with time-series privileged informationBastian Jung, Fredrik D. Johansson. [doi]
- NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual SynthesisJian Liang, Chenfei Wu, Xiaowei Hu, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zicheng Liu 0001, Yuejian Fang, Nan Duan. [doi]
- Flare7K: A Phenomenological Nighttime Flare Removal DatasetYuekun Dai, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Chen Change Loy. [doi]
- AnimeSR: Learning Real-World Super-Resolution Models for Animation VideosYanze Wu, Xintao Wang, Gen Li, Ying Shan. [doi]
- Stochastic Adaptive Activation FunctionKyungsu Lee, Jaeseung Yang, Haeyun Lee, Jae Youn Hwang. [doi]
- Your Transformer May Not be as Powerful as You ExpectShengjie Luo, Shanda Li, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He. [doi]
- The alignment property of SGD noise and how it helps select flat minima: A stability analysisLei Wu, Mingze Wang, Weijie Su. [doi]
- FlowHMM: Flow-based continuous hidden Markov modelsPawel Lorek, Rafal Nowak, Tomasz Trzcinski, Maciej Zieba. [doi]
- Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic AutoencodersAmrutha Saseendran, Kathrin Skubch, Stefan Falkner, Margret Keuper. [doi]
- Polynomial-Time Optimal Equilibria with a Mediator in Extensive-Form GamesBrian Hu Zhang, Tuomas Sandholm. [doi]
- SelecMix: Debiased Learning by Contradicting-pair SamplingInwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim, Byoung-Tak Zhang. [doi]
- Rethinking Knowledge Graph Evaluation Under the Open-World AssumptionHaotong Yang, Zhouchen Lin, Muhan Zhang. [doi]
- Diffusion Visual Counterfactual ExplanationsMaximilian Augustin, Valentyn Boreiko, Francesco Croce, Matthias Hein 0001. [doi]
- Resolving the data ambiguity for periodic crystalsDaniel Widdowson, Vitaliy Kurlin. [doi]
- Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and AlgorithmHuiyang Shao, Qianqian Xu, Zhiyong Yang 0001, Shilong Bao, Qingming Huang. [doi]
- Learning Best Combination for Efficient N: M SparsityYuxin Zhang 0002, Mingbao Lin, Zhihang Lin, Yiting Luo, Ke Li 0015, Fei Chao 0001, Yongjian Wu, Rongrong Ji. [doi]
- On the Importance of Gradient Norm in PAC-Bayesian BoundsItai Gat, Yossi Adi, Alexander G. Schwing, Tamir Hazan. [doi]
- Generalization Analysis of Message Passing Neural Networks on Large Random GraphsSohir Maskey, Ron Levie, Yunseok Lee, Gitta Kutyniok. [doi]
- Amortized Inference for Heterogeneous Reconstruction in Cryo-EMAxel Levy, Gordon Wetzstein, Julien N. P. Martel, Frédéric Poitevin, Ellen D. Zhong. [doi]
- Concept Activation Regions: A Generalized Framework For Concept-Based ExplanationsJonathan Crabbé, Mihaela van der Schaar. [doi]
- Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum CircuitsKaining Zhang, Liu Liu, Min-Hsiu Hsieh, Dacheng Tao. [doi]
- Provably Feedback-Efficient Reinforcement Learning via Active Reward LearningDingwen Kong, Lin Yang 0011. [doi]
- Early Stage Convergence and Global Convergence of Training Mildly Parameterized Neural NetworksMingze Wang, Chao Ma. [doi]
- Linear tree shapPeng Yu, Albert Bifet, Jesse Read, Chao Xu. [doi]
- Noise Attention Learning: Enhancing Noise Robustness by Gradient ScalingYangdi Lu, Yang Bo, Wenbo He. [doi]
- Respecting Transfer Gap in Knowledge DistillationYulei Niu, Long Chen 0016, Chang Zhou, Hanwang Zhang. [doi]
- Accelerating Certified Robustness Training via Knowledge TransferPratik Vaishnavi, Kevin Eykholt, Amir Rahmati. [doi]
- Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret BoundsAritra Mitra, Arman Adibi, George J. Pappas, Hamed Hassani. [doi]
- LieGG: Studying Learned Lie Group GeneratorsArtem Moskalev, Anna Sepliarskaia, Ivan Sosnovik, Arnold W. M. Smeulders. [doi]
- Let Images Give You More: Point Cloud Cross-Modal Training for Shape AnalysisXu Yan 0014, Heshen Zhan, Chaoda Zheng, Jiantao Gao, Ruimao Zhang, Shuguang Cui, Zhen Li 0026. [doi]
- MACK: Multimodal Aligned Conceptual Knowledge for Unpaired Image-text MatchingYan Huang, Yuming Wang, Yunan Zeng, Liang Wang. [doi]
- If Influence Functions are the Answer, Then What is the Question?Juhan Bae, Nathan Ng, Alston Lo, Marzyeh Ghassemi, Roger B. Grosse. [doi]
- Training Spiking Neural Networks with Local Tandem LearningQu Yang, Jibin Wu, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li 0001. [doi]
- Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model EvaluationJannik Kossen, Sebastian Farquhar, Yarin Gal, Thomas Rainforth. [doi]
- What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text InputsTal Shaharabany, Yoad Tewel, Lior Wolf. [doi]
- Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem?Yimeng Min, Frederik Wenkel, Michael Perlmutter, Guy Wolf. [doi]
- Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML EvaluationSérgio M. Jesus, José Pombal, Duarte Alves, André Ferreira Cruz, Pedro Saleiro, Rita P. Ribeiro, João Gama 0001, Pedro Bizarro. [doi]
- Adversarial Task Up-sampling for Meta-learningYichen Wu, Long-Kai Huang, Ying Wei 0001. [doi]
- VectorAdam for Rotation Equivariant Geometry OptimizationSelena Ling, Nicholas Sharp, Alec Jacobson. [doi]
- Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly DetectionGe Zhang, Zhenyu Yang, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Jianlin Su, Chuan Zhou 0001, Quan Z. Sheng, Leman Akoglu, Charu C. Aggarwal. [doi]
- Fairness Transferability Subject to Bounded Distribution ShiftYatong Chen, Reilly Raab, Jialu Wang, Yang Liu 0018. [doi]
- Human-Robotic Prosthesis as Collaborating Agents for Symmetrical WalkingRuofan Wu, Junmin Zhong, Brent Wallace, Xiang Gao, He Huang 0002, Jennie Si. [doi]
- Fused Orthogonal Alternating Least Squares for Tensor ClusteringJiacheng Wang, Dan Nicolae. [doi]
- Learning Recourse on Instance Environment to Enhance Prediction AccuracyLokesh N, Guntakanti Sai Koushik, Abir De, Sunita Sarawagi. [doi]
- Simple and Optimal Greedy Online Contention Resolution SchemesVasilis Livanos. [doi]
- Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement LearningYuanpei Chen, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuan Jiang, Zongqing Lu, Stephen McAleer, Hao Dong, Song Chun Zhu, Yaodong Yang. [doi]
- Quantized Training of Gradient Boosting Decision TreesYu Shi, Guolin Ke, Zhuoming Chen, Shuxin Zheng, Tie-Yan Liu. [doi]
- Learning to Generate Inversion-Resistant Model ExplanationsHoyong Jeong, Suyoung Lee, Sung Ju Hwang, Sooel Son. [doi]
- Wavelet Score-Based Generative ModelingFlorentin Guth, Simon Coste, Valentin De Bortoli, Stéphane Mallat. [doi]
- Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular dataNabeel Seedat, Jonathan Crabbé, Ioana Bica, Mihaela van der Schaar. [doi]
- The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual DatasetHugo Laurençon, Lucile Saulnier, Thomas Wang, Christopher Akiki, Albert Villanova del Moral, Teven Le Scao, Leandro von Werra, Chenghao Mou, Eduardo González Ponferrada, Huu Nguyen, Jörg Frohberg, Mario Sasko, Quentin Lhoest, Angelina McMillan-Major, Gérard Dupont, Stella Biderman, Anna Rogers, Loubna Ben Allal, Francesco De Toni, Giada Pistilli, Olivier Nguyen, Somaieh Nikpoor, Maraim Masoud, Pierre Colombo, Javier de la Rosa, Paulo Villegas, Tristan Thrush, Shayne Longpre, Sebastian Nagel 0005, Leon Weber, Manuel Muñoz, Jian Zhu, Daniel van Strien, Zaid Alyafeai, Khalid Almubarak, Minh Chien Vu, Itziar Gonzalez-Dios, Aitor Soroa, Kyle Lo, Manan Dey, Pedro Ortiz Suarez, Aaron Gokaslan, Shamik Bose, David Ifeoluwa Adelani, Long Phan, Hieu Tran, Ian Yu, Suhas Pai, Jenny Chim, Violette Lepercq, Suzana Ilic, Margaret Mitchell, Alexandra Sasha Luccioni, Yacine Jernite. [doi]
- Optimistic Tree Searches for Combinatorial Black-Box OptimizationCédric Malherbe, Antoine Grosnit, Rasul Tutunov, Haitham Bou-Ammar, Jun Wang 0012. [doi]
- Linear Label Ranking with Bounded NoiseDimitris Fotakis 0001, Alkis Kalavasis, Vasilis Kontonis, Christos Tzamos. [doi]
- No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal CircuitRylan Schaeffer, Mikail Khona, Ila Fiete. [doi]
- Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean MeasuresEmmanuel Abbe, Samy Bengio, Elisabetta Cornacchia, Jon M. Kleinberg, Aryo Lotfi, Maithra Raghu, Chiyuan Zhang. [doi]
- Decoupling Features in Hierarchical Propagation for Video Object SegmentationZongxin Yang, Yi Yang. [doi]
- Diffusion-based Molecule Generation with Informative Prior BridgesLemeng Wu, ChengYue Gong, Xingchao Liu, Mao Ye 0006, Qiang Liu 0001. [doi]
- Explain My Surprise: Learning Efficient Long-Term Memory by predicting uncertain outcomesArtyom Y. Sorokin, Nazar Buzun, Leonid Pugachev, Mikhail S. Burtsev. [doi]
- Language Models with Image Descriptors are Strong Few-Shot Video-Language LearnersZhenhailong Wang, Manling Li, Ruochen Xu, Luowei Zhou, Jie Lei 0003, Xudong Lin 0003, Shuohang Wang, Ziyi Yang, Chenguang Zhu 0001, Derek Hoiem, Shih-Fu Chang, Mohit Bansal, Heng Ji. [doi]
- Inherently Explainable Reinforcement Learning in Natural LanguageXiangyu Peng, Mark O. Riedl, Prithviraj Ammanabrolu. [doi]
- Merging Models with Fisher-Weighted AveragingMichael Matena, Colin Raffel. [doi]
- Stability Analysis and Generalization Bounds of Adversarial TrainingJiancong Xiao, Yanbo Fan, Ruoyu Sun 0001, Jue Wang 0001, Zhi-Quan Luo. [doi]
- What Makes Graph Neural Networks Miscalibrated?Hans Hao-Hsun Hsu, Yuesong Shen, Christian Tomani, Daniel Cremers. [doi]
- Sample-Efficient Reinforcement Learning of Partially Observable Markov GamesQinghua Liu, Csaba Szepesvári, Chi Jin 0001. [doi]
- GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation ModelsWenbo Su, Yuanxing Zhang, Yufeng Cai, Kaixu Ren, Pengjie Wang, Huimin Yi, Yue Song, Jing Chen, Hongbo Deng, Jian Xu 0015, Lin Qu, Bo Zheng. [doi]
- Learning the Structure of Large Networked Systems Obeying Conservation LawsAnirudh Rayas, Rajasekhar Anguluri, Gautam Dasarathy. [doi]
- Meta-Complementing the Semantics of Short Texts in Neural Topic ModelsDelvin Ce Zhang, Hady W. Lauw. [doi]
- Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking ConsistencyViraj Prabhu, Sriram Yenamandra, Aaditya Singh, Judy Hoffman. [doi]
- Safe Opponent-Exploitation Subgame RefinementMingyang Liu, Chengjie Wu, Qihan Liu, Yansen Jing, Jun Yang 0028, Pingzhong Tang, Chongjie Zhang. [doi]
- On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and DiceMarcus Nordström, Henrik Hult, Fredrik Löfman, Jonas Söderberg. [doi]
- Confidence-based Reliable Learning under Dual NoisesPeng Cui, Yang Yue, Zhijie Deng, Jun Zhu 0001. [doi]
- ResQ: A Residual Q Function-based Approach for Multi-Agent Reinforcement Learning Value FactorizationSiqi Shen, Mengwei Qiu, Jun Liu, Weiquan Liu, Yongquan Fu, Xinwang Liu, Cheng Wang. [doi]
- Provable General Function Class Representation Learning in Multitask Bandits and MDPRui Lu, Andrew Zhao, Simon S. Du, Gao Huang. [doi]
- DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object DetectionGang Li, Xiang Li, Yujie Wang, Yichao Wu, Ding Liang, Shanshan Zhang. [doi]
- CLEVRER-Humans: Describing Physical and Causal Events the Human WayJiayuan Mao, Xuelin Yang, Xikun Zhang 0001, Noah Goodman, Jiajun Wu. [doi]
- Chaotic Dynamics are Intrinsic to Neural Network Training with SGDLuis Herrmann, Maximilian Granz, Tim Landgraf. [doi]
- Visual Prompting via Image InpaintingAmir Bar, Yossi Gandelsman, Trevor Darrell, Amir Globerson, Alexei A. Efros. [doi]
- Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured ConfoundingCaizhi Tang, Huiyuan Wang, Xinyu Li, Qing Cui, Ya Lin Zhang, Feng Zhu, Longfei Li, Jun Zhou, Linbo Jiang. [doi]
- Pre-Trained Image Encoder for Generalizable Visual Reinforcement LearningZhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, Yi Wu, Yang Gao, Huazhe Xu. [doi]
- AutoML Two-Sample TestJonas M. Kübler, Vincent Stimper, Simon Buchholz, Krikamol Muandet, Bernhard Schölkopf. [doi]
- Rate-Optimal Online Convex Optimization in Adaptive Linear ControlAsaf B. Cassel, Alon Peled-Cohen, Tomer Koren. [doi]
- OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point CloudsZiyang Song, Bo Yang. [doi]
- End-to-end Symbolic Regression with TransformersPierre-Alexandre Kamienny, Stéphane d'Ascoli, Guillaume Lample, François Charton. [doi]
- BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed GraphsKay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun 0001, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu. [doi]
- BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication CompressionHaoyu Zhao, Boyue Li, Zhize Li, Peter Richtárik, Yuejie Chi. [doi]
- Matrix Multiplicative Weights Updates in Quantum Zero-Sum Games: Conservation Laws & RecurrenceRahul Jain, Georgios Piliouras, Ryann Sim. [doi]
- MineDojo: Building Open-Ended Embodied Agents with Internet-Scale KnowledgeLinxi Fan, Guanzhi Wang, Yunfan Jiang, Ajay Mandlekar, Yuncong Yang, Haoyi Zhu, Andrew Tang, De-An Huang, Yuke Zhu, Anima Anandkumar. [doi]
- Learning in Congestion Games with Bandit FeedbackQiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S. Du. [doi]
- S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental LearningYabin Wang, Zhiwu Huang, Xiaopeng Hong. [doi]
- Neural Set Function Extensions: Learning with Discrete Functions in High DimensionsNikolaos Karalias, Joshua Robinson, Andreas Loukas, Stefanie Jegelka. [doi]
- Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social Text ClassificationKarish Grover, S. M. Phaneendra Angara, Md. Shad Akhtar, Tanmoy Chakraborty 0002. [doi]
- FP8 Quantization: The Power of the ExponentAndrey Kuzmin, Mart van Baalen, Yuwei Ren, Markus Nagel, Jorn Peters, Tijmen Blankevoort. [doi]
- Certifying Some Distributional Fairness with Subpopulation DecompositionMintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang 0001, Bo Li 0026. [doi]
- Revisiting Graph Contrastive Learning from the Perspective of Graph SpectrumNian Liu, Xiao Wang 0017, Deyu Bo, Chuan Shi, Jian Pei. [doi]
- Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error AnalysisTaiki Miyagawa. [doi]
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- Hand-Object Interaction Image GenerationHezhen Hu, Weilun Wang, Wengang Zhou, Houqiang Li. [doi]
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- Test-Time Training with Masked AutoencodersYossi Gandelsman, Yu Sun, Xinlei Chen, Alexei A. Efros. [doi]
- pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing ModelsZitao Liu 0001, Qiongqiong Liu, Jiahao Chen 0006, Shuyan Huang, Jiliang Tang, Weiqi Luo 0002. [doi]
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- NSNet: A General Neural Probabilistic Framework for Satisfiability ProblemsZhaoyu Li, Xujie Si. [doi]
- Heterogeneous Skill Learning for Multi-agent TasksYuntao Liu, Yuan Li, Xinhai Xu, Yong Dou, Donghong Liu. [doi]
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- Sparse Winning Tickets are Data-Efficient Image RecognizersMukund Varma T, Xuxi Chen, Zhenyu Zhang, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang. [doi]
- Capturing Failures of Large Language Models via Human Cognitive BiasesErik Jones, Jacob Steinhardt. [doi]
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- Diversified Recommendations for Agents with Adaptive PreferencesWilliam Brown, Arpit Agarwal. [doi]
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- Sparsity in Continuous-Depth Neural NetworksHananeh Aliee, Till Richter, Mikhail Solonin, Ignacio Ibarra, Fabian J. Theis, Niki Kilbertus. [doi]
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- Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and NonlinearityYiheng Lin, Yang Hu, Guannan Qu, Tongxin Li, Adam Wierman. [doi]
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- OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal RegressionWanhua Li 0001, Xiaoke Huang, Zheng Zhu, Yansong Tang, Xiu Li, Jie Zhou 0001, Jiwen Lu. [doi]
- Grounded Reinforcement Learning: Learning to Win the Game under Human CommandsShusheng Xu, Huaijie Wang, Yi Wu. [doi]
- Understanding Deep Neural Function Approximation in Reinforcement Learning via $\epsilon$-Greedy ExplorationFanghui Liu 0001, Luca Viano, Volkan Cevher. [doi]
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- Anonymous Bandits for Multi-User SystemsHossein Esfandiari, Vahab Mirrokni, Jon Schneider. [doi]
- Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed RecognitionYifan Zhang, Bryan Hooi, Lanqing Hong, Jiashi Feng. [doi]
- Learning Expressive Meta-Representations with Mixture of Expert Neural ProcessesQi Wang, Herke van Hoof. [doi]
- Chartalist: Labeled Graph Datasets for UTXO and Account-based BlockchainsKiarash Shamsi, Friedhelm Victor, Murat Kantarcioglu, Yulia R. Gel, Cuneyt Gurcan Akcora. [doi]
- A Policy-Guided Imitation Approach for Offline Reinforcement LearningHaoran Xu, Li Jiang 0008, Jianxiong Li, Xianyuan Zhan. [doi]
- VICRegL: Self-Supervised Learning of Local Visual FeaturesAdrien Bardes, Jean Ponce, Yann LeCun. [doi]
- Transcormer: Transformer for Sentence Scoring with Sliding Language ModelingKaitao Song, Yichong Leng, Xu Tan 0003, Yicheng Zou, Tao Qin, Dongsheng Li 0002. [doi]
- SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label LearningHaobo Wang, Mingxuan Xia, Yixuan Li, Yuren Mao, Lei Feng 0006, Gang Chen 0001, Junbo Zhao. [doi]
- Jump Self-attention: Capturing High-order Statistics in TransformersHaoyi Zhou, Siyang Xiao, Shanghang Zhang, Jieqi Peng, Shuai Zhang 0026, Jianxin Li 0002. [doi]
- Squeezeformer: An Efficient Transformer for Automatic Speech RecognitionSehoon Kim, Amir Gholami, Albert E. Shaw, Nicholas Lee, Karttikeya Mangalam, Jitendra Malik, Michael W. Mahoney, Kurt Keutzer. [doi]
- Variational Model Perturbation for Source-Free Domain AdaptationMengmeng Jing, Xiantong Zhen, Jingjing Li 0001, Cees Snoek. [doi]
- Towards Versatile Embodied NavigationHanqing Wang, Wei Liang, Luc Van Gool, Wenguan Wang. [doi]
- Robust Streaming PCADaniel Bienstock, Minchan Jeong, Apurv Shukla, Se-Young Yun. [doi]
- Foundation Posteriors for Approximate Probabilistic InferenceMike Wu, Noah D. Goodman. [doi]
- Where do Models go Wrong? Parameter-Space Saliency Maps for ExplainabilityRoman Levin, Manli Shu, Eitan Borgnia, Furong Huang, Micah Goldblum, Tom Goldstein. [doi]
- VCT: A Video Compression TransformerFabian Mentzer, George Toderici, David Minnen, Sergi Caelles, Sung Jin Hwang, Mario Lucic, Eirikur Agustsson. [doi]
- Provably expressive temporal graph networksAmauri H. Souza, Diego Mesquita, Samuel Kaski, Vikas Garg. [doi]
- A Universal Error Measure for Input Predictions Applied to Online Graph ProblemsGiulia Bernardini 0001, Alexander Lindermayr, Alberto Marchetti-Spaccamela, Nicole Megow, Leen Stougie, Michelle Sweering. [doi]
- Normalizing Flows for Knockoff-free Controlled Feature SelectionDerek Hansen, Brian Manzo, Jeffrey Regier. [doi]
- Interpolation and Regularization for Causal LearningLeena Chennuru Vankadara, Luca Rendsburg, Ulrike von Luxburg, Debarghya Ghoshdastidar. [doi]
- Outlier-Robust Sparse Estimation via Non-Convex OptimizationYu Cheng 0002, Ilias Diakonikolas, Rong Ge 0001, Shivam Gupta 0002, Daniel Kane, Mahdi Soltanolkotabi. [doi]
- Mixture-of-Experts with Expert Choice RoutingYanqi Zhou, Tao Lei, Hanxiao Liu, Nan Du, Yanping Huang, Vincent Zhao, Andrew M. Dai, Zhifeng Chen, Quoc V. Le, James Laudon. [doi]
- Neural Conservation Laws: A Divergence-Free PerspectiveJack Richter-Powell, Yaron Lipman, Ricky T. Q. Chen. [doi]
- Compressible-composable NeRF via Rank-residual DecompositionJiaxiang Tang, Xiaokang Chen, Jingbo Wang 0003, Gang Zeng. [doi]
- Faster Deep Reinforcement Learning with Slower Online NetworkKavosh Asadi, Rasool Fakoor, Omer Gottesman, Taesup Kim, Michael L. Littman, Alexander J. Smola. [doi]
- FasterRisk: Fast and Accurate Interpretable Risk ScoresJiachang Liu 0001, Chudi Zhong, Boxuan Li, Margo I. Seltzer, Cynthia Rudin. [doi]
- Beyond L1: Faster and Better Sparse Models with skglmQuentin Bertrand, Quentin Klopfenstein, Pierre-Antoine Bannier, Gauthier Gidel, Mathurin Massias. [doi]
- Fully Convolutional One-Stage 3D Object Detection on LiDAR Range ImagesZhi Tian, Xiangxiang Chu, Xiaoming Wang, Xiaolin Wei, Chunhua Shen. [doi]
- DeepInteraction: 3D Object Detection via Modality InteractionZeyu Yang, Jiaqi Chen, Zhenwei Miao, Wei Li, Xiatian Zhu, Li Zhang. [doi]
- Continual learning: a feature extraction formalization, an efficient algorithm, and fundamental obstructionsBinghui Peng, Andrej Risteski. [doi]
- Towards a Standardised Performance Evaluation Protocol for Cooperative MARLRihab Gorsane, Omayma Mahjoub, Ruan de Kock, Roland Dubb, Siddarth Singh, Arnu Pretorius. [doi]
- Post-hoc estimators for learning to defer to an expertHarikrishna Narasimhan, Wittawat Jitkrittum, Aditya K. Menon, Ankit Singh Rawat, Sanjiv Kumar. [doi]
- Are All Losses Created Equal: A Neural Collapse PerspectiveJinxin Zhou, Chong You, Xiao Li 0026, Kangning Liu, Sheng Liu, Qing Qu 0001, Zhihui Zhu. [doi]
- Towards Understanding Grokking: An Effective Theory of Representation LearningZiming Liu, Ouail Kitouni, Niklas Nolte, Eric J. Michaud, Max Tegmark, Mike Williams. [doi]
- BackdoorBench: A Comprehensive Benchmark of Backdoor LearningBaoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Chao Shen. [doi]
- Biologically-plausible backpropagation through arbitrary timespans via local neuromodulatorsYuhan Helena Liu, Stephen Smith, Stefan Mihalas, Eric Shea-Brown, Uygar Sümbül. [doi]
- TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting DecompositionYongwei Chen, Rui Chen, Jiabao Lei, Yabin Zhang, Kui Jia. [doi]
- Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions AnalysisAnton Plaksin, Stepan Martyanov. [doi]
- Improved Bounds on Neural Complexity for Representing Piecewise Linear FunctionsKuan-Lin Chen, Harinath Garudadri, Bhaskar D. Rao. [doi]
- Near-Optimal Collaborative Learning in BanditsClémence Réda, Sattar Vakili, Emilie Kaufmann. [doi]
- Implicit Bias of Gradient Descent on Reparametrized Models: On Equivalence to Mirror DescentZhiyuan Li 0005, Tianhao Wang 0017, Jason D. Lee, Sanjeev Arora. [doi]
- Conditional Diffusion Process for Inverse HalftoningHao Jiang, Yadong Mu. [doi]
- Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement LearningArsène Fansi Tchango, Rishab Goel, Julien Martel, Zhi-Wen, Gaétan Marceau-Caron, Joumana Ghosn. [doi]
- SegNeXt: Rethinking Convolutional Attention Design for Semantic SegmentationMeng-Hao Guo, Cheng-Ze Lu, Qibin Hou, Zhengning Liu, Ming-Ming Cheng, Shi-Min Hu 0001. [doi]
- Learning with convolution and pooling operations in kernel methodsTheodor Misiakiewicz, Song Mei. [doi]
- Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision SystemsEric Yang Yu, Zhizhen Qin, Min Kyung Lee, Sicun Gao. [doi]
- PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence UnderstandingMinghao Xu, Zuobai Zhang, Jiarui Lu, Zhaocheng Zhu, Yangtian Zhang, Chang Ma, Runcheng Liu, Jian Tang 0005. [doi]
- PROSPECT: Labeled Tandem Mass Spectrometry Dataset for Machine Learning in ProteomicsOmar Shouman, Wassim Gabriel, Victor-George Giurcoiu, Vitor Sternlicht, Mathias Wilhelm. [doi]
- Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on ManifoldsZhi Gao, Yuwei Wu 0001, Yunde Jia, Mehrtash Harandi. [doi]
- Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with PredictionsShinsaku Sakaue, Taihei Oki. [doi]
- On the Robustness of Graph Neural Diffusion to Topology PerturbationsYang Song, Qiyu Kang, Sijie Wang, Kai Zhao, Wee-Peng Tay. [doi]
- GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from ImagesJun Gao 0004, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, Sanja Fidler. [doi]
- MORA: Improving Ensemble Robustness Evaluation with Model Reweighing AttackYunrui Yu, Xitong Gao, Cheng-Zhong Xu 0001. [doi]
- VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-ExpertsHangbo Bao, Wenhui Wang, Li Dong 0004, Qiang Liu, Owais Khan Mohammed, Kriti Aggarwal, Subhojit Som, Songhao Piao, Furu Wei. [doi]
- Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement LearningZifan Wu, Chao Yu 0004, Chen Chen, Jianye Hao, Hankz Hankui Zhuo. [doi]
- Micro and Macro Level Graph Modeling for Graph Variational Auto-EncodersKiarash Zahirnia, Oliver Schulte, Parmis Nadaf, Ke Li. [doi]
- PolarMix: A General Data Augmentation Technique for LiDAR Point CloudsAoran Xiao, Jiaxing Huang 0001, Dayan Guan, Kaiwen Cui, Shijian Lu, Ling Shao 0001. [doi]
- Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real worldEugene Vinitsky, Nathan Lichtlé, Xiaomeng Yang, Brandon Amos, Jakob Foerster. [doi]
- Expectation-Maximization Contrastive Learning for Compact Video-and-Language RepresentationsPeng Jin, Jinfa Huang, Fenglin Liu, Xian Wu, Shen Ge, Guoli Song, David A. Clifton, Jie Chen 0001. [doi]
- SAPipe: Staleness-Aware Pipeline for Data Parallel DNN TrainingYangrui Chen, Cong Xie, Meng Ma, Juncheng Gu, Yanghua Peng, Haibin Lin, Chuan Wu 0001, Yibo Zhu. [doi]
- When Adversarial Training Meets Vision Transformers: Recipes from Training to ArchitectureYichuan Mo, Dongxian Wu, Yifei Wang 0001, Yiwen Guo, Yisen Wang 0001. [doi]
- SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-LearningJianhong Wang, Yuan Zhang, Yunjie Gu, Tae-Kyun Kim. [doi]
- Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine LearningJiachen T. Wang, Saeed Mahloujifar, Shouda Wang, Ruoxi Jia, Prateek Mittal. [doi]
- Neural Estimation of Submodular Functions with Applications to Differentiable Subset SelectionAbir De, Soumen Chakrabarti. [doi]
- Joint Entropy Search For Maximally-Informed Bayesian OptimizationCarl Hvarfner, Frank Hutter, Luigi Nardi. [doi]
- Masked Autoencoders that ListenPo-Yao Huang 0001, Hu Xu 0001, Juncheng Li 0001, Alexei Baevski, Michael Auli, Wojciech Galuba, Florian Metze, Christoph Feichtenhofer. [doi]
- Low-Rank Modular Reinforcement Learning via Muscle SynergyHeng Dong, Tonghan Wang 0001, Jiayuan Liu, Chongjie Zhang. [doi]
- Federated Learning from Pre-Trained Models: A Contrastive Learning ApproachYue Tan, Guodong Long, Jie Ma, Lu Liu 0019, Tianyi Zhou 0001, Jing Jiang 0002. [doi]
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- SparCL: Sparse Continual Learning on the EdgeZifeng Wang 0002, Zheng Zhan 0001, Yifan Gong 0004, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy. [doi]
- Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language ModelsBiru Zhu, Yujia Qin, Ganqu Cui, Yangyi Chen, Weilin Zhao, Chong Fu, Yangdong Deng, Zhiyuan Liu 0001, Jingang Wang, Wei Wu, Maosong Sun, Ming Gu 0001. [doi]
- AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter TuningKrishnaTeja Killamsetty, Guttu Sai Abhishek, Aakriti, Ganesh Ramakrishnan, Alexandre V. Evfimievski, Lucian Popa 0001, Rishabh K. Iyer. [doi]
- Learning to Branch with Tree MDPsLara Scavuzzo, Feng Yang Chen, Didier Chételat, Maxime Gasse, Andrea Lodi 0001, Neil Yorke-Smith, Karen Aardal. [doi]
- Personalized Online Federated Learning with Multiple KernelsPouya M. Ghari, Yanning Shen. [doi]
- Are AlphaZero-like Agents Robust to Adversarial Perturbations?Li-Cheng Lan, Huan Zhang 0001, Ti-Rong Wu, Meng-Yu Tsai 0001, I-Chen Wu, Cho-Jui Hsieh. [doi]
- SALSA: Attacking Lattice Cryptography with TransformersEmily Wenger, Mingjie Chen, François Charton, Kristin E. Lauter. [doi]
- Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?Yibo Yang, Shixiang Chen, Xiangtai Li, Liang Xie, Zhouchen Lin, Dacheng Tao. [doi]
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- MultiScan: Scalable RGBD scanning for 3D environments with articulated objectsYongsen Mao, Yiming Zhang, Hanxiao Jiang 0001, Angel X. Chang, Manolis Savva. [doi]
- Differentially Private Generalized Linear Models RevisitedRaman Arora, Raef Bassily, Cristóbal Guzmán, Michael Menart, Enayat Ullah. [doi]
- Autoregressive Perturbations for Data PoisoningPedro Sandoval Segura, Vasu Singla, Jonas Geiping, Micah Goldblum, Tom Goldstein, David Jacobs 0001. [doi]
- DNA: Proximal Policy Optimization with a Dual Network ArchitectureMatthew Aitchison, Penny Sweetser. [doi]
- TwiBot-22: Towards Graph-Based Twitter Bot DetectionShangbin Feng, Zhaoxuan Tan, Herun Wan, Ningnan Wang, Zilong Chen, Binchi Zhang, Qinghua Zheng, Wenqian Zhang, Zhenyu Lei, Shujie Yang, Xinshun Feng, Qingyue Zhang, Hongrui Wang, Yuhan Liu, Yuyang Bai, Heng Wang, Zijian Cai, Yanbo Wang, Lijing Zheng, Zihan Ma, Jundong Li, Minnan Luo. [doi]
- CoNT: Contrastive Neural Text GenerationChenxin An, JiangTao Feng, Kai Lv, Lingpeng Kong, Xipeng Qiu, Xuanjing Huang 0001. [doi]
- ELIAS: End-to-End Learning to Index and Search in Large Output SpacesNilesh Gupta, Patrick H. Chen, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon. [doi]
- RecursiveMix: Mixed Learning with HistoryLingfeng Yang, Xiang Li 0041, Borui Zhao, Renjie Song, Jian Yang 0003. [doi]
- SCONE: Surface Coverage Optimization in Unknown Environments by Volumetric IntegrationAntoine Guédon, Pascal Monasse, Vincent Lepetit. [doi]
- Global Convergence of Direct Policy Search for State-Feedback $\mathcal{H}_\infty$ Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein SubdifferentialXingang Guo, Bin Hu. [doi]
- DDXPlus: A New Dataset For Automatic Medical DiagnosisArsène Fansi Tchango, Rishab Goel, Zhi-Wen, Julien Martel, Joumana Ghosn. [doi]
- Self-supervised Amodal Video Object SegmentationJian Yao, Yuxin Hong, Chiyu Wang, Tianjun Xiao, Tong He, Francesco Locatello, David P. Wipf, Yanwei Fu, Zheng Zhang. [doi]
- OpenFilter: A Framework to Democratize Research Access to Social Media AR FiltersPiera Riccio, Bill Psomas, Francesco Galati, Francisco Escolano, Thomas Hofmann, Nuria Oliver. [doi]
- Coordinates Are NOT Lonely - Codebook Prior Helps Implicit Neural 3D representationsFukun Yin, Wen Liu, Zilong Huang, Pei Cheng, Tao Chen, Gang Yu. [doi]
- Improving Self-Supervised Learning by Characterizing Idealized RepresentationsYann Dubois, Stefano Ermon, Tatsunori B. Hashimoto, Percy Liang. [doi]
- OmniVL: One Foundation Model for Image-Language and Video-Language TasksJunke Wang, Dongdong Chen 0001, Zuxuan Wu, Chong Luo, Luowei Zhou, Yucheng Zhao, Yujia Xie, Ce Liu 0001, Yu-Gang Jiang, Lu Yuan. [doi]
- Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC MaximizationQuanqi Hu, Yongjian Zhong, Tianbao Yang. [doi]
- Invariance Learning based on Label HierarchyShoji Toyota, Kenji Fukumizu. [doi]
- Communicating Natural Programs to Humans and MachinesSamuel Acquaviva, Yewen Pu, Marta Kryven, Theodoros Sechopoulos, Catherine Wong, Gabrielle E. Ecanow, Maxwell I. Nye, Michael Henry Tessler, Josh Tenenbaum 0001. [doi]
- Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated LearningAnastasia Koloskova, Sebastian U. Stich, Martin Jaggi. [doi]
- A2: Efficient Automated Attacker for Boosting Adversarial TrainingZhuoer Xu, Guanghui Zhu, Changhua Meng, Shiwen Cui, Zhenzhe Ying, Weiqiang Wang, Ming Gu, Yihua Huang 0001. [doi]
- Residual Multiplicative Filter Networks for Multiscale ReconstructionShayan Shekarforoush, David B. Lindell, David J. Fleet, Marcus A. Brubaker. [doi]
- Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimatorLior Danon, Dan Garber. [doi]
- Constrained GPI for Zero-Shot Transfer in Reinforcement LearningJaekyeom Kim, Seohong Park, Gunhee Kim. [doi]
- Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic GraphsMing Jin, Yuan-Fang Li, Shirui Pan. [doi]
- Re-Analyze Gauss: Bounds for Private Matrix Approximation via Dyson Brownian MotionOren Mangoubi, Nisheeth K. Vishnoi. [doi]
- On the Double Descent of Random Features Models Trained with SGDFanghui Liu 0001, Johan A. K. Suykens, Volkan Cevher. [doi]
- Debiasing Graph Neural Networks via Learning Disentangled Causal SubstructureShaohua Fan, Xiao Wang 0017, Yanhu Mo, Chuan Shi, Jian Tang. [doi]
- Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence MapsYue Hu, Shaoheng Fang, Zixing Lei, Yiqi Zhong, Siheng Chen. [doi]
- Split-kl and PAC-Bayes-split-kl Inequalities for Ternary Random VariablesYi-Shan Wu 0003, Yevgeny Seldin. [doi]
- Near-Optimal No-Regret Learning Dynamics for General Convex GamesGabriele Farina, Ioannis Anagnostides, Haipeng Luo, Chung-wei Lee, Christian Kroer, Tuomas Sandholm. [doi]
- Instance-based Learning for Knowledge Base CompletionWanyun Cui, Xingran Chen. [doi]
- Langevin Autoencoders for Learning Deep Latent Variable ModelsShohei Taniguchi, Yusuke Iwasawa, Wataru Kumagai, Yutaka Matsuo. [doi]
- Causally motivated multi-shortcut identification and removalJiayun Zheng, Maggie Makar. [doi]
- The Surprising Effectiveness of PPO in Cooperative Multi-Agent GamesChao Yu, Akash Velu, Eugene Vinitsky, Jiaxuan Gao, Yu Wang, Alexandre M. Bayen, Yi Wu. [doi]
- Order-Invariant Cardinality Estimators Are Differentially PrivateCharlie Dickens, Justin Thaler, Daniel Ting. [doi]
- Discovery of Single Independent Latent VariableUri Shaham 0001, Jonathan Svirsky, Ori Katz, Ronen Talmon. [doi]
- What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical PerspectiveHuan Wang, Suhas Lohit, Michael N. Jones, Yun Fu 0001. [doi]
- Class-Dependent Label-Noise Learning with Cycle-Consistency RegularizationDe Cheng, Yixiong Ning, Nannan Wang 0001, Xinbo Gao 0001, Heng Yang, Yuxuan Du, Bo Han 0003, Tongliang Liu. [doi]
- PALMER: Perception - Action Loop with Memory for Long-Horizon PlanningOnur Beker, Mohammad Mohammadi, Amir Zamir. [doi]
- Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable NetworksMansheej Paul, Brett W. Larsen, Surya Ganguli, Jonathan Frankle, Gintare Karolina Dziugaite. [doi]
- Semantic Probabilistic Layers for Neuro-Symbolic LearningKareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari. [doi]
- Audio-Driven Co-Speech Gesture Video GenerationXian Liu, Qianyi Wu, Hang Zhou, Yuanqi Du, Wayne Wu, Dahua Lin, Ziwei Liu 0002. [doi]
- A Neural Corpus Indexer for Document RetrievalYujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie 0001, Hao Sun 0015, Weiwei Deng, Qi Zhang, Mao Yang. [doi]
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- ToDD: Topological Compound Fingerprinting in Computer-Aided Drug DiscoveryAndac Demir, Baris Coskunuzer, Yulia R. Gel, Ignacio Segovia-Dominguez, Yuzhou Chen, Bulent Kiziltan. [doi]
- Diffusion Models as Plug-and-Play PriorsAlexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras. [doi]
- Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love ConstraintsJose Gallego-Posada, Juan Ramirez, Akram Erraqabi, Yoshua Bengio, Simon Lacoste-Julien. [doi]
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- How to talk so AI will learn: Instructions, descriptions, and autonomyTheodore R. Sumers, Robert D. Hawkins, Mark K. Ho, Tom Griffiths 0001, Dylan Hadfield-Menell. [doi]
- Improved Algorithms for Neural Active LearningYikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He. [doi]
- Neural Stochastic ControlJingdong Zhang, Qunxi Zhu, Wei Lin 0003. [doi]
- Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent KernelsMohamad Amin Mohamadi, Wonho Bae, Danica J. Sutherland. [doi]
- SageMix: Saliency-Guided Mixup for Point CloudsSanghyeok Lee, Minkyu Jeon, Injae Kim, Yunyang Xiong, Hyunwoo J. Kim. [doi]
- Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement LearningJifeng Hu, Yanchao Sun, Hechang Chen, Sili Huang, Haiyin Piao, Yi Chang, Lichao Sun. [doi]
- PAC Prediction Sets for Meta-LearningSangdon Park 0001, Edgar Dobriban, Insup Lee 0001, Osbert Bastani. [doi]
- Why do tree-based models still outperform deep learning on typical tabular data?Léo Grinsztajn, Edouard Oyallon, Gaël Varoquaux. [doi]
- Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified UncertaintyLuning Sun, Daniel Huang, Hao Sun, Jian Xun Wang. [doi]
- Neural Network Architecture Beyond Width and DepthShijun Zhang, Zuowei Shen, Haizhao Yang. [doi]
- Natural Color Fool: Towards Boosting Black-box Unrestricted AttacksShengming Yuan, Qilong Zhang, Lianli Gao, Yaya Cheng, Jingkuan Song. [doi]
- Fast Instrument Learning with Faster RatesZiyu Wang, Yuhao Zhou, Jun Zhu 0001. [doi]
- Algorithms that Approximate Data Removal: New Results and LimitationsVinith M. Suriyakumar, Ashia C. Wilson. [doi]
- PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model PretrainingYuting Gao, Jinfeng Liu, Zihan Xu, Jun Zhang, Ke Li 0015, Rongrong Ji, Chunhua Shen. [doi]
- Subgroup Robustness Grows On Trees: An Empirical Baseline InvestigationJosh Gardner, Zoran Popovic, Ludwig Schmidt. [doi]
- Efficient Active Learning with AbstentionYinglun Zhu, Robert Nowak 0001. [doi]
- Optimal Positive Generation via Latent Transformation for Contrastive LearningYinqi Li, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen 0001. [doi]
- Chefs' Random Tables: Non-Trigonometric Random FeaturesValerii Likhosherstov, Krzysztof Marcin Choromanski, Kumar Avinava Dubey, Frederick Liu, Tamás Sarlós, Adrian Weller. [doi]
- BadPrompt: Backdoor Attacks on Continuous PromptsXiangrui Cai, Haidong Xu, Sihan Xu, Ying Zhang, Xiaojie Yuan. [doi]
- Decoupling Knowledge from Memorization: Retrieval-augmented Prompt LearningXiang Chen, Lei Li, Ningyu Zhang, Xiaozhuan Liang, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen. [doi]
- Sparse2Dense: Learning to Densify 3D Features for 3D Object DetectionTianyu Wang 0003, Xiaowei Hu 0001, Zhengzhe Liu, Chi-Wing Fu. [doi]
- Physically-Based Face Rendering for NIR-VIS Face RecognitionYunqi Miao, Alexandros Lattas, Jiankang deng, Jungong Han, Stefanos Zafeiriou. [doi]
- Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational LimitBoaz Barak, Benjamin L. Edelman, Surbhi Goel, Sham M. Kakade, Eran Malach, Cyril Zhang. [doi]
- Energy-Based Contrastive Learning of Visual RepresentationsBeomsu Kim, Jong Chul Ye. [doi]
- Rethinking Value Function Learning for Generalization in Reinforcement LearningSeungyong Moon, Junyeong Lee, Hyun Oh Song. [doi]
- FOF: Learning Fourier Occupancy Field for Monocular Real-time Human ReconstructionQiao Feng, Yebin Liu, Yu-Kun Lai, Jingyu Yang 0002, Kun Li 0001. [doi]
- Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier FunctionsRayan Mazouz, Karan Muvvala, Akash Ratheesh, Luca Laurenti, Morteza Lahijanian. [doi]
- Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal EncodingRuipeng Zhang, Chenning Yu, Jingkai Chen, Chuchu Fan, Sicun Gao. [doi]
- On the role of overparameterization in off-policy Temporal Difference learning with linear function approximationValentin Thomas. [doi]
- Sampling in Constrained Domains with Orthogonal-Space Variational Gradient DescentRuqi Zhang, Qiang Liu 0001, Xin Tong. [doi]
- Fairness ReprogrammingGuanhua Zhang, Yihua Zhang, Yang Zhang 0001, Wenqi Fan, Qing Li 0001, Sijia Liu 0001, Shiyu Chang. [doi]
- What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness?Nikolaos Tsilivis 0002, Julia Kempe. [doi]
- The Missing Invariance Principle found - the Reciprocal Twin of Invariant Risk MinimizationDongsung Huh, Avinash Baidya. [doi]
- Generating Training Data with Language Models: Towards Zero-Shot Language UnderstandingYu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han. [doi]
- Robust Feature-Level Adversaries are Interpretability ToolsStephen Casper, Max Nadeau, Dylan Hadfield-Menell, Gabriel Kreiman. [doi]
- Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context LearningHaokun Liu, Derek Tam, Mohammed Muqeeth, Jay Mohta, Tenghao Huang, Mohit Bansal, Colin Raffel. [doi]
- On Scalable Testing of SamplersYash Pote, Kuldeep S. Meel. [doi]
- Nonparametric Uncertainty Quantification for Single Deterministic Neural NetworkNikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Artem Shelmanov, Artem Vazhentsev, Aleksandr Petiushko, Maxim Panov. [doi]
- Manifold Interpolating Optimal-Transport Flows for Trajectory InferenceGuillaume Huguet, Daniel Sumner Magruder, Alexander Tong 0001, Oluwadamilola Fasina, Manik Kuchroo, Guy Wolf, Smita Krishnaswamy. [doi]
- Convergent Representations of Computer Programs in Human and Artificial Neural NetworksShashank Srikant, Ben Lipkin, Anna A. Ivanova, Evelina Fedorenko, Una-May O'Reilly. [doi]
- Scalable design of Error-Correcting Output Codes using Discrete Optimization with Graph ColoringSamarth Gupta, Saurabh Amin. [doi]
- GRASP: Navigating Retrosynthetic Planning with Goal-driven PolicyYemin Yu, Ying Wei 0001, Kun Kuang, Zhengxing Huang, Huaxiu Yao, Fei Wu 0001. [doi]
- A Statistical Online Inference Approach in Averaged Stochastic ApproximationChuhan Xie, Zhihua Zhang. [doi]
- Efficient Sampling on Riemannian Manifolds via Langevin MCMCXiang Cheng, Jingzhao Zhang, Suvrit Sra. [doi]
- Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring DistributionsAudrey Huang, Nan Jiang 0008. [doi]
- Rethinking Generalization in Few-Shot ClassificationMarkus Hiller, Rongkai Ma, Mehrtash Harandi, Tom Drummond. [doi]
- Exploring through Random Curiosity with General Value FunctionsAditya Ramesh, Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber. [doi]
- Hierarchical Normalization for Robust Monocular Depth EstimationChi Zhang, Wei Yin, Billzb Wang, Gang Yu, Bin Fu, Chunhua Shen. [doi]
- Optimal Binary Classification Beyond AccuracyShashank Singh 0005, Justin T. Khim. [doi]
- Variable-rate hierarchical CPC leads to acoustic unit discovery in speechSantiago Cuervo, Adrian Lancucki, Ricard Marxer, Pawel Rychlikowski, Jan Chorowski. [doi]
- Implicit Warping for Animation with Image SetsArun Mallya, Ting-chun Wang, Ming-Yu Liu 0001. [doi]
- Data Distributional Properties Drive Emergent In-Context Learning in TransformersStephanie Chan, Adam Santoro, Andrew K. Lampinen, Jane Wang, Aaditya Singh, Pierre H. Richemond, James L. McClelland, Felix Hill. [doi]
- Pyramid Attention For Source Code SummarizationLei Chai, Ming Li. [doi]
- A Reparametrization-Invariant Sharpness Measure Based on Information GeometryCheongjae Jang, Sungyoon Lee, Frank C. Park 0001, Yung-Kyun Noh. [doi]
- TweetNERD - End to End Entity Linking Benchmark for TweetsShubhanshu Mishra, Aman Saini, Raheleh Makki, Sneha Mehta, Aria Haghighi, Ali Mollahosseini. [doi]
- Towards Reliable Simulation-Based Inference with Balanced Neural Ratio EstimationArnaud Delaunoy, Joeri Hermans, François Rozet, Antoine Wehenkel, Gilles Louppe. [doi]
- Neural Basis Models for InterpretabilityFilip Radenovic, Abhimanyu Dubey, Dhruv Mahajan 0001. [doi]
- Understanding Aesthetics with Language: A Photo Critique Dataset for Aesthetic AssessmentDaniel Vera Nieto, Luigi Celona, Clara Fernandez-Labrador. [doi]
- CATER: Intellectual Property Protection on Text Generation APIs via Conditional WatermarksXuanli He, Qiongkai Xu, Yi Zeng, Lingjuan Lyu, Fangzhao Wu, Jiwei Li, Ruoxi Jia. [doi]
- Understanding Square Loss in Training Overparametrized Neural Network ClassifiersTianyang Hu, Jun Wang, Wenjia Wang, Zhenguo Li. [doi]
- Domain Adaptation under Open Set Label ShiftSaurabh Garg, Sivaraman Balakrishnan, Zachary C. Lipton. [doi]
- Conformal Off-Policy Prediction in Contextual BanditsMuhammad Faaiz Taufiq, Jean-Francois Ton, Rob Cornish, Yee Whye Teh, Arnaud Doucet. [doi]
- Efficient Scheduling of Data Augmentation for Deep Reinforcement LearningByungchan Ko, Jungseul Ok. [doi]
- Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural NetworksBlake Bordelon, Cengiz Pehlevan. [doi]
- Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant RegretJiawei Huang, Li Zhao 0007, Tao Qin, Wei Chen 0034, Nan Jiang 0008, Tie-Yan Liu. [doi]
- How Would The Viewer Feel? Estimating Wellbeing From Video ScenariosMantas Mazeika, Eric Tang, Andy Zou, Steven Basart, Jun Shern Chan, Dawn Song, David A. Forsyth, Jacob Steinhardt, Dan Hendrycks. [doi]
- Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape MatchingLei Li 0038, Nicolas Donati, Maks Ovsjanikov. [doi]
- Towards Effective Multi-Modal Interchanges in Zero-Resource Sounding Object LocalizationYang Zhao, Chen Zhang 0020, Haifeng Huang, Haoyuan Li, Zhou Zhao. [doi]
- Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching CorrespondencesSiwei Wang, Xinwang Liu, Suyuan Liu, Jiaqi Jin, Wenxuan Tu, Xinzhong Zhu, En Zhu. [doi]
- SignRFF: Sign Random Fourier FeaturesXiaoyun Li, Ping Li 0001. [doi]
- Imitating Past Successes can be Very SuboptimalBenjamin Eysenbach, Soumith Udatha, Russ Salakhutdinov, Sergey Levine. [doi]
- On the Efficient Implementation of High Accuracy Optimality of Profile Maximum LikelihoodMoses Charikar, Zhihao Jiang, Kirankumar Shiragur, Aaron Sidford. [doi]
- Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural NetworksJiyang Guan, Jian Liang, Ran He. [doi]
- Offline Multi-Agent Reinforcement Learning with Knowledge DistillationWei-Cheng Tseng, Tsun-Hsuan Johnson Wang, Yen-Chen Lin, Phillip Isola. [doi]
- On the inability of Gaussian process regression to optimally learn compositional functionsMatteo Giordano, Kolyan Ray, Johannes Schmidt-Hieber. [doi]
- ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal EmbeddingsArjun Majumdar, Gunjan Aggarwal, Bhavika Devnani, Judy Hoffman, Dhruv Batra. [doi]
- Sharing Knowledge for Meta-learning with Feature DescriptionsTomoharu Iwata, Atsutoshi Kumagai. [doi]
- 3-NeRF: Neural Reflectance Field from Shading and Shadow under a Single ViewpointWenqi Yang, Guanying Chen, Chaofeng Chen, Zhenfang Chen, Kwan-Yee K. Wong. [doi]
- Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equationsSteffen Schotthöfer, Emanuele Zangrando, Jonas Kusch, Gianluca Ceruti, Francesco Tudisco. [doi]
- SGAM: Building a Virtual 3D World through Simultaneous Generation and MappingYuan Shen, Wei-Chiu Ma, Shenlong Wang. [doi]
- MaskPlace: Fast Chip Placement via Reinforced Visual Representation LearningYao Lai, Yao Mu, Ping Luo 0002. [doi]
- Learning Optimal Flows for Non-Equilibrium Importance SamplingYu Cao, Eric Vanden-Eijnden. [doi]
- Feature-Proxy Transformer for Few-Shot SegmentationJian-Wei Zhang, Yifan Sun, Yi Yang, Wei Chen. [doi]
- Meta-Learning Dynamics Forecasting Using Task InferenceRui Wang, Robin Walters, Rose Yu. [doi]
- Improved Convergence Rate of Stochastic Gradient Langevin Dynamics with Variance Reduction and its Application to OptimizationYuri Kinoshita, Taiji Suzuki. [doi]
- Robust Semi-Supervised Learning when Not All Classes have LabelsLan-Zhe Guo, Yi-Ge Zhang, Zhi-Fan Wu, Jie-Jing Shao, Yu-Feng Li. [doi]
- Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum MinimizationAli Kavis, Stratis Skoulakis, Kimon Antonakopoulos, Leello Tadesse Dadi, Volkan Cevher. [doi]
- Active Learning of Classifiers with Label and Seed QueriesMarco Bressan 0002, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice, Maximilian Thiessen. [doi]
- Weakly Supervised Representation Learning with Sparse PerturbationsKartik Ahuja, Jason S. Hartford, Yoshua Bengio. [doi]
- Neural Stochastic PDEs: Resolution-Invariant Learning of Continuous Spatiotemporal DynamicsCristopher Salvi, Maud Lemercier, Andris Gerasimovics. [doi]
- Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward ShapingHao Sun, Lei Han, Rui Yang 0010, Xiaoteng Ma, Jian Guo, Bolei Zhou. [doi]
- Graph Self-supervised Learning with Accurate Discrepancy LearningDongki Kim, Jinheon Baek, Sung Ju Hwang. [doi]
- Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency DomainYiting Chen, Qibing Ren, Junchi Yan. [doi]
- Nonnegative Tensor Completion via Integer OptimizationCaleb Bugg, Chen Chen, Anil Aswani. [doi]
- AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-TuningTao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang, Shaoliang Nie. [doi]
- Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision TasksYen-Cheng Liu, Chih-Yao Ma, Junjiao Tian, Zijian He, Zsolt Kira. [doi]
- Theoretically Provable Spiking Neural NetworksShao-Qun Zhang, Zhi-Hua Zhou. [doi]
- Debiased Machine Learning without Sample-Splitting for Stable EstimatorsQizhao Chen, Vasilis Syrgkanis, Morgane Austern. [doi]
- Efficient and Stable Fully Dynamic Facility LocationSayan Bhattacharya, Silvio Lattanzi, Nikos Parotsidis. [doi]
- Generalised Mutual Information for Discriminative ClusteringLouis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron, Warith Harchaoui, Mickaël Leclercq, Arnaud Droit, Frédéric Precioso. [doi]
- Off-Team LearningBrandon Cui, Hengyuan Hu, Andrei Lupu, Samuel Sokota, Jakob N. Foerster. [doi]
- Deep invariant networks with differentiable augmentation layersCédric Rommel, Thomas Moreau 0001, Alexandre Gramfort. [doi]
- Local Latent Space Bayesian Optimization over Structured InputsNatalie Maus, Haydn Jones, Juston Moore, Matt J. Kusner, John Bradshaw, Jacob R. Gardner. [doi]
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- Pre-trained Adversarial PerturbationsYuanhao Ban, Yinpeng Dong. [doi]
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- Iterative Structural Inference of Directed GraphsAoran Wang, Jun Pang 0001. [doi]
- Unifying and Boosting Gradient-Based Training-Free Neural Architecture SearchYao Shu, Zhongxiang Dai, Zhaoxuan Wu, Bryan Kian Hsiang Low. [doi]
- Evaluating Graph Generative Models with Contrastively Learned FeaturesHamed Shirzad, Kaveh Hassani, Danica J. Sutherland. [doi]
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- xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar ImageryFernando Paolo, Tsu-ting Tim Lin, Ritwik Gupta, Bryce Goodman, Nirav Patel, Daniel Kuster, David Kroodsma, Jared Dunnmon. [doi]
- ProtoX: Explaining a Reinforcement Learning Agent via PrototypingRonilo J. Ragodos, Tong Wang, Qihang Lin, Xun Zhou. [doi]
- Deep Differentiable Logic Gate NetworksFelix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen. [doi]
- Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$-Means ClusteringLingxiao Huang, Zhize Li, Jialin Sun, Haoyu Zhao. [doi]
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- ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual ModelsChunyuan Li, Haotian Liu, Liunian Harold Li, Pengchuan Zhang, Jyoti Aneja, Jianwei Yang, Ping Jin, Houdong Hu, Zicheng Liu 0001, Yong Jae Lee, Jianfeng Gao. [doi]
- Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size OscillationsAxel Laborieux, Friedemann Zenke. [doi]
- Stars: Tera-Scale Graph Building for Clustering and LearningCJ Carey, Jonathan Halcrow, Rajesh Jayaram, Vahab Mirrokni, Warren Schudy, Peilin Zhong. [doi]
- UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage ClassificationYanbo Xu, Alind Khare, Glenn Matlin, Monish Ramadoss, Rishikesan Kamaleswaran, Chao Zhang, Alexey Tumanov. [doi]
- SNAKE: Shape-aware Neural 3D Keypoint FieldChengliang Zhong, Peixing You, Xiaoxue Chen, Hao Zhao, Fuchun Sun, Guyue Zhou, Xiaodong Mu, Chuang Gan, Wenbing Huang. [doi]
- Unsupervised Visual Representation Learning via Mutual Information Regularized AssignmentDong-Hoon Lee, SungIk Choi, Hyunwoo J. Kim, Sae-Young Chung. [doi]
- Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical SystemsAbishek Thangamuthu, Gunjan Kumar, Suresh Bishnoi, Ravinder Bhattoo, N. M. Anoop Krishnan, Sayan Ranu. [doi]
- TOIST: Task Oriented Instance Segmentation Transformer with Noun-Pronoun DistillationPengfei Li, Beiwen Tian, Yongliang Shi, Xiaoxue Chen, Hao Zhao, Guyue Zhou, Ya-Qin Zhang. [doi]
- LobsDICE: Offline Learning from Observation via Stationary Distribution Correction EstimationGeon-hyeong Kim, Jongmin Lee 0004, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim. [doi]
- Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained SpaceYunbum Kook, Yin Tat Lee, Ruoqi Shen, Santosh S. Vempala. [doi]
- Theory and Approximate Solvers for Branched Optimal Transport with Multiple SourcesPeter Lippmann, Enrique Fita Sanmartín, Fred A. Hamprecht. [doi]
- Brain Network TransformerXuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang. [doi]
- Tensor Program Optimization with Probabilistic ProgramsJunru Shao, Xiyou Zhou, Siyuan Feng, Bohan Hou, Ruihang Lai, Hongyi Jin, Wuwei Lin, Masahiro Masuda, Cody Hao Yu, TianQi Chen. [doi]
- Near-Optimal Regret for Adversarial MDP with Delayed Bandit FeedbackTiancheng Jin, Tal Lancewicki, Haipeng Luo, Yishay Mansour, Aviv Rosenberg 0002. [doi]
- The Privacy Onion Effect: Memorization is RelativeNicholas Carlini, Matthew Jagielski, Chiyuan Zhang, Nicolas Papernot, Andreas Terzis, Florian Tramèr. [doi]
- Compositional generalization through abstract representations in human and artificial neural networksTakuya Ito, Tim Klinger, Douglas Schultz, John Murray, Michael W. Cole, Mattia Rigotti. [doi]
- Geodesic Self-Attention for 3D Point CloudsZhengyu Li, Xuan Tang, Zihao Xu, Xihao Wang, Hui Yu, Mingsong Chen, Xian Wei. [doi]
- Empirical Gateaux Derivatives for Causal InferenceMichael I. Jordan, Yixin Wang, Angela Zhou. [doi]
- Unsupervised Learning From Incomplete Measurements for Inverse ProblemsJulián Tachella, Dongdong Chen, Mike Davies. [doi]
- Envy-free Policy Teaching to Multiple AgentsJiarui Gan, Rupak Majumdar, Adish Singla, Goran Radanovic. [doi]
- Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networksRodrigo Veiga, Ludovic Stephan, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová. [doi]
- FedPop: A Bayesian Approach for Personalised Federated LearningNikita Kotelevskii, Maxime Vono, Alain Durmus, Eric Moulines. [doi]
- Bounding and Approximating Intersectional Fairness through Marginal FairnessMathieu Molina, Patrick Loiseau. [doi]
- Geoclidean: Few-Shot Generalization in Euclidean GeometryJoy Hsu, Jiajun Wu 0001, Noah D. Goodman. [doi]
- Characterizing Datapoints via Second-Split ForgettingPratyush Maini, Saurabh Garg, Zachary C. Lipton, J. Zico Kolter. [doi]
- Contextual Squeeze-and-Excitation for Efficient Few-Shot Image ClassificationMassimiliano Patacchiola, John Bronskill, Aliaksandra Shysheya, Katja Hofmann, Sebastian Nowozin, Richard E. Turner. [doi]
- Temporal Effective Batch Normalization in Spiking Neural NetworksChaoteng Duan, Jianhao Ding, Shiyan Chen, Zhaofei Yu, Tiejun Huang 0001. [doi]
- Active Labeling: Streaming Stochastic GradientsVivien Cabannes, Francis R. Bach, Vianney Perchet, Alessandro Rudi. [doi]
- Hardness of Noise-Free Learning for Two-Hidden-Layer Neural NetworksSitan Chen, Aravind Gollakota, Adam R. Klivans, Raghu Meka. [doi]
- ClimbQ: Class Imbalanced Quantization Enabling Robustness on Efficient InferencesTing-An Chen, De-Nian Yang, Ming-Syan Chen. [doi]
- Earthformer: Exploring Space-Time Transformers for Earth System ForecastingZhihan Gao 0001, Xingjian Shi, Hao Wang 0014, Yi Zhu, Yuyang Wang 0001, Mu Li 0003, Dit-Yan Yeung. [doi]
- DeepTOP: Deep Threshold-Optimal Policy for MDPs and RMABsKhaled Nakhleh, I-Hong Hou. [doi]
- Learning Robust Dynamics through Variational Sparse GatingArnav Kumar Jain, Shivakanth Sujit, Shruti Joshi, Vincent Michalski, Danijar Hafner, Samira Ebrahimi Kahou. [doi]
- Understanding and Extending Subgraph GNNs by Rethinking Their SymmetriesFabrizio Frasca, Beatrice Bevilacqua, Michael M. Bronstein, Haggai Maron. [doi]
- MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force FieldsIlyes Batatia, Dávid Péter Kovács, Gregor N. C. Simm, Christoph Ortner, Gábor Csányi. [doi]
- Stochastic Multiple Target Sampling Gradient DescentHoang Phan, Ngoc Tran, Trung Le, Toan Tran, Nhat Ho, Dinh Phung 0001. [doi]
- Exploring the Latent Space of Autoencoders with Interventional AssaysFelix Leeb, Stefan Bauer, Michel Besserve, Bernhard Schölkopf. [doi]
- Can Push-forward Generative Models Fit Multimodal Distributions?Antoine Salmona, Valentin De Bortoli, Julie Delon, Agnès Desolneux. [doi]
- Scalable Interpretability via PolynomialsAbhimanyu Dubey, Filip Radenovic, Dhruv Mahajan 0001. [doi]
- Get More at Once: Alternating Sparse Training with Gradient CorrectionLi Yang, Jian Meng, Jae-sun Seo, Deliang Fan. [doi]
- Large-Scale Retrieval for Reinforcement LearningPeter C. Humphreys, Arthur Guez, Olivier Tieleman, Laurent Sifre, Theophane Weber, Timothy P. Lillicrap. [doi]
- A Theoretical Framework for Inference LearningNick Alonso, Beren Millidge, Jeffrey L. Krichmar, Emre O. Neftci. [doi]
- SemMAE: Semantic-Guided Masking for Learning Masked AutoencodersGang Li, Heliang Zheng, Daqing Liu, Chaoyue Wang, Bing Su, Changwen Zheng. [doi]
- SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural NetworksDavide Buffelli, Pietro Lió, Fabio Vandin. [doi]
- Label-invariant Augmentation for Semi-Supervised Graph ClassificationHan Yue, Chunhui Zhang, Chuxu Zhang, Hongfu Liu. [doi]
- Grow and Merge: A Unified Framework for Continuous Categories DiscoveryXinwei Zhang, Jianwen Jiang, Yutong Feng, Zhi-Fan Wu, Xibin Zhao, Hai Wan, Mingqian Tang, Rong Jin 0001, Yue Gao. [doi]
- Learning Energy Networks with Generalized Fenchel-Young LossesMathieu Blondel, Felipe Llinares-López, Robert Dadashi, Léonard Hussenot, Matthieu Geist. [doi]
- What You See is What You Get: Principled Deep Learning via Distributional GeneralizationBogdan Kulynych, Yao-Yuan Yang, Yaodong Yu, Jaroslaw Blasiok, Preetum Nakkiran. [doi]
- Posted Pricing and Dynamic Prior-independent Mechanisms with Value MaximizersYuan Deng, Vahab Mirrokni, Hanrui Zhang. [doi]
- CogView2: Faster and Better Text-to-Image Generation via Hierarchical TransformersMing Ding 0004, Wendi Zheng, Wenyi Hong, Jie Tang 0001. [doi]
- Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels?Xiang Li, Jinghuan Shang, Srijan Das, Michael S. Ryoo. [doi]
- Optimal Transport-based Identity Matching for Identity-invariant Facial Expression RecognitionDae Ha Kim, Byung Cheol Song. [doi]
- SegViT: Semantic Segmentation with Plain Vision TransformersBowen Zhang 0009, Zhi Tian, Quan Tang 0001, Xiangxiang Chu, Xiaolin Wei, Chunhua Shen, Yifan Liu 0001. [doi]
- Dungeons and Data: A Large-Scale NetHack DatasetEric Hambro, Roberta Raileanu, Danielle Rothermel, Vegard Mella, Tim Rocktäschel, Heinrich Küttler, Naila Murray. [doi]
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement LearningYongyuan Liang, Yanchao Sun, Ruijie Zheng, Furong Huang. [doi]
- coVariance Neural NetworksSaurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro. [doi]
- Chroma-VAE: Mitigating Shortcut Learning with Generative ClassifiersWanqian Yang, Polina Kirichenko, Micah Goldblum, Andrew Gordon Wilson. [doi]
- Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright ProtectionYiming Li 0004, Yang Bai, Yong Jiang, Yong Yang, Shu-Tao Xia, Bo Li. [doi]
- Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-trainingRenrui Zhang, Ziyu Guo, Peng Gao 0007, Rongyao Fang, Bin Zhao, Dong Wang, Yu Qiao 0001, Hongsheng Li 0001. [doi]
- Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language ModelsManli Shu, Weili Nie, De-An Huang, Zhiding Yu, Tom Goldstein, Anima Anandkumar, Chaowei Xiao. [doi]
- REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question AnsweringYuanze Lin, Yujia Xie, Dongdong Chen 0001, Yichong Xu, Chenguang Zhu 0001, Lu Yuan. [doi]
- A Fourier Approach to Mixture LearningMingda Qiao, Guru Guruganesh, Ankit Singh Rawat, Kumar Avinava Dubey, Manzil Zaheer. [doi]
- Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learningHyunwook Kang, Taehwan Kwon, Jinkyoo Park, James R. Morrison. [doi]
- Sparse Probabilistic Circuits via Pruning and GrowingMeihua Dang, Anji Liu, Guy Van den Broeck. [doi]
- Large-Scale Differentiable Causal Discovery of Factor GraphsRomain Lopez, Jan-Christian Hütter, Jonathan K. Pritchard, Aviv Regev. [doi]
- Grounding Aleatoric Uncertainty for Unsupervised Environment DesignMinqi Jiang, Michael Dennis 0001, Jack Parker-Holder, Andrei Lupu, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster. [doi]
- ELASTIC: Numerical Reasoning with Adaptive Symbolic CompilerJiaxin Zhang 0024, Yashar Moshfeghi. [doi]
- Active-Passive SimStereo - Benchmarking the Cross-Generalization Capabilities of Deep Learning-based Stereo MethodsLaurent Valentin Jospin, Allen Antony, Lian Xu, Hamid Laga, Farid Boussaïd, Mohammed Bennamoun. [doi]
- Simultaneous Missing Value Imputation and Structure Learning with GroupsPablo Morales-Alvarez, Wenbo Gong 0001, Angus Lamb, Simon Woodhead 0002, Simon Peyton Jones, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang 0005. [doi]
- Fast Bayesian Coresets via Subsampling and Quasi-Newton RefinementCian Naik, Judith Rousseau, Trevor Campbell. [doi]
- Semi-supervised Semantic Segmentation with Prototype-based Consistency RegularizationHaiming Xu, Lingqiao Liu, Qiuchen Bian, Zhen Yang. [doi]
- Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical GuaranteesWenying Deng, Beau Coker, Rajarshi Mukherjee, Jeremiah Z. Liu, Brent A. Coull. [doi]
- Vision GNN: An Image is Worth Graph of NodesKai Han 0002, Yunhe Wang 0001, Jianyuan Guo, Yehui Tang, Enhua Wu. [doi]
- Generalization Gap in Amortized InferenceMingtian Zhang, Peter Hayes, David Barber. [doi]
- Intra-agent speech permits zero-shot task acquisitionChen Yan, Federico Carnevale, Petko Georgiev, Adam Santoro, Aurelia Guy, Alistair Muldal, Chia-Chun Hung, Josh Abramson, Timothy P. Lillicrap, Gregory Wayne. [doi]
- TempEL: Linking Dynamically Evolving and Newly Emerging EntitiesKlim Zaporojets, Lucie-Aimée Kaffee, Johannes Deleu, Thomas Demeester, Chris Develder, Isabelle Augenstein. [doi]
- Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networksDaiki Chijiwa, Shin'ya Yamaguchi, Atsutoshi Kumagai, Yasutoshi Ida. [doi]
- Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless DiscretizationsRamansh Sharma, Varun Shankar. [doi]
- Score-Based Diffusion meets Annealed Importance SamplingArnaud Doucet, Will Grathwohl, Alexander G. de G. Matthews, Heiko Strathmann. [doi]
- The Burer-Monteiro SDP method can fail even above the Barvinok-Pataki boundLiam O'Carroll, Vaidehi Srinivas, Aravindan Vijayaraghavan. [doi]
- Repairing Neural Networks by Leaving the Right Past BehindRyutaro Tanno, Melanie F. Pradier, Aditya V. Nori, Yingzhen Li. [doi]
- CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image SegmentationZicheng Zhang, Yi Zhu 0004, Jianzhuang Liu, Xiaodan Liang, Wei Ke. [doi]
- Multi-objective Deep Data Generation with Correlated Property ControlShiyu Wang, Xiaojie Guo, Xuanyang Lin, Bo Pan, Yuanqi Du, Yinkai Wang, Yanfang Ye 0001, Ashley Petersen, Austin Leitgeb, Saleh AlKhalifa, Kevin Minbiole, William M. Wuest, Amarda Shehu, Liang Zhao. [doi]
- Sparse Hypergraph Community Detection Thresholds in Stochastic Block ModelErchuan Zhang, David Suter, Giang Truong, Syed Zulqarnain Gilani. [doi]
- Toward Understanding Privileged Features Distillation in Learning-to-RankShuo Yang, Sujay Sanghavi, Holakou Rahmanian, Jan Bakus, S. V. N. Vishwanathan. [doi]
- Enhance the Visual Representation via Discrete Adversarial TrainingXiaofeng Mao, Yuefeng Chen, Ranjie Duan, Yao Zhu, Gege Qi, Shaokai Ye, Xiaodan Li, Rong Zhang, Hui Xue 0001. [doi]
- Accelerated Projected Gradient Algorithms for Sparsity Constrained Optimization ProblemsJan Harold Alcantara, Ching-Pei Lee. [doi]
- Flamingo: a Visual Language Model for Few-Shot LearningJean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, Roman Ring, Eliza Rutherford, Serkan Cabi, Tengda Han, Zhitao Gong, Sina Samangooei, Marianne Monteiro, Jacob L. Menick, Sebastian Borgeaud, Andy Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikolaj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, Karén Simonyan. [doi]
- Pay attention to your loss : understanding misconceptions about Lipschitz neural networksLouis Béthune, Thibaut Boissin, Mathieu Serrurier, Franck Mamalet, Corentin Friedrich, Alberto González-Sanz. [doi]
- Towards Lightweight Black-Box Attack Against Deep Neural NetworksChenghao Sun, Yonggang Zhang, Chaoqun Wan, Qizhou Wang, Ya Li, Tongliang Liu, Bo Han 0003, Xinmei Tian 0001. [doi]
- EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RLThomas Carta, Pierre-Yves Oudeyer, Olivier Sigaud, Sylvain Lamprier. [doi]
- Self-Supervised Learning Through Efference CopiesFranz Scherr, Qinghai Guo, Timoleon Moraitis. [doi]
- Trade-off between Payoff and Model Rewards in Shapley-Fair Collaborative Machine LearningQuoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet. [doi]
- A Unified Diversity Measure for Multiagent Reinforcement LearningZongkai Liu, Chao Yu 0004, Yaodong Yang 0002, Peng Sun, Zifan Wu, Yuan Li. [doi]
- MCL-GAN: Generative Adversarial Networks with Multiple Specialized DiscriminatorsJinyoung Choi, Bohyung Han. [doi]
- Falconn++: A Locality-sensitive Filtering Approach for Approximate Nearest Neighbor SearchNinh Pham, Tao Liu. [doi]
- Graph Neural Network BanditsParnian Kassraie, Andreas Krause 0001, Ilija Bogunovic. [doi]
- Efficient Spatially Sparse Inference for Conditional GANs and Diffusion ModelsMuyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu. [doi]
- ResT V2: Simpler, Faster and StrongerQinglong Zhang, Yu-Bin Yang. [doi]
- Implicit Regularization or Implicit Conditioning? Exact Risk Trajectories of SGD in High DimensionsCourtney Paquette, Elliot Paquette, Ben Adlam, Jeffrey Pennington. [doi]
- NS3: Neuro-symbolic Semantic Code SearchShushan Arakelyan, Anna Hakhverdyan, Miltiadis Allamanis, Luis Garcia, Christophe Hauser, Xiang Ren. [doi]
- Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source SamplingJunyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger. [doi]
- Learning a Condensed Frame for Memory-Efficient Video Class-Incremental LearningYixuan Pei, Zhiwu Qing, Jun Cen, Xiang Wang, Shiwei Zhang, Yaxiong Wang, Mingqian Tang, Nong Sang, Xueming Qian. [doi]
- Nearly Optimal Best-of-Both-Worlds Algorithms for Online Learning with Feedback GraphsShinji Ito, Taira Tsuchiya, Junya Honda. [doi]
- Sound and Complete Verification of Polynomial NetworksElías Abad-Rocamora, Mehmet Fatih Sahin, Fanghui Liu 0001, Grigorios Chrysos 0002, Volkan Cevher. [doi]
- Near-Optimal Randomized Exploration for Tabular Markov Decision ProcessesZhihan Xiong, Ruoqi Shen, Qiwen Cui, Maryam Fazel, Simon S. Du. [doi]
- Collaborative Learning of Discrete Distributions under Heterogeneity and Communication ConstraintsXinmeng Huang, Donghwan Lee, Edgar Dobriban, Hamed Hassani. [doi]
- RainNet: A Large-Scale Imagery Dataset and Benchmark for Spatial Precipitation DownscalingXuanhong Chen, Kairui Feng, Naiyuan Liu, Bingbing Ni, Yifan Lu, Zhengyan Tong, Ziang Liu 0001. [doi]
- Anytime-Valid Inference For Multinomial Count DataMichael Lindon, Alan Malek. [doi]
- ViSioNS: Visual Search in Natural Scenes BenchmarkFermín Travi, Gonzalo Ruarte, Gastón Bujia, Juan E. Kamienkowski. [doi]
- Towards Practical Few-shot Query Sets: Transductive Minimum Description Length InferenceSégolène Martin, Malik Boudiaf, Émilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed. [doi]
- Learning Tractable Probabilistic Models from Inconsistent Local EstimatesShasha Jin, Vasundhara Komaragiri, Tahrima Rahman, Vibhav Gogate. [doi]
- DABS 2.0: Improved Datasets and Algorithms for Universal Self-SupervisionAlex Tamkin, Gaurab Banerjee, Mohamed Owda, Vincent Liu, Shashank Rammoorthy, Noah D. Goodman. [doi]
- GAR: Generalized Autoregression for Multi-Fidelity FusionYuxin Wang, Zheng Xing, Wei W. Xing. [doi]
- ELIGN: Expectation Alignment as a Multi-Agent Intrinsic RewardZixian Ma, Rose Wang, Fei-Fei Li 0001, Michael S. Bernstein, Ranjay Krishna. [doi]
- EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural NetworksRunlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei. [doi]
- Characterization of Excess Risk for Locally Strongly Convex Population RiskMingyang Yi, Ruoyu Wang 0016, Zhi-Ming Ma. [doi]
- SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained debugging and analysisRoxana Daneshjou, Mert Yüksekgönül, Zhuo Ran Cai, Roberto A. Novoa, James Y. Zou. [doi]
- Forecasting Future World Events With Neural NetworksAndy Zou, Tristan Xiao, Ryan Jia, Joe Kwon, Mantas Mazeika, Richard Li, Dawn Song, Jacob Steinhardt, Owain Evans, Dan Hendrycks. [doi]
- Tempo: Accelerating Transformer-Based Model Training through Memory Footprint ReductionMuralidhar Andoorveedu, Zhanda Zhu, Bojian Zheng, Gennady Pekhimenko. [doi]
- Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit AlgorithmsQin Ding 0002, Yue Kang, Yi-Wei Liu, Thomas Chun Man Lee, Cho-Jui Hsieh, James Sharpnack. [doi]
- Deep Bidirectional Language-Knowledge Graph PretrainingMichihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang 0001, Christopher D. Manning, Percy Liang, Jure Leskovec. [doi]
- Navigating Memory Construction by Global Pseudo-Task Simulation for Continual LearningYejia Liu, Wang Zhu 0001, Shaolei Ren. [doi]
- Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face RecognitionShuai Jia, Bangjie Yin, Taiping Yao, Shouhong Ding, Chunhua Shen, Xiaokang Yang, Chao Ma 0004. [doi]
- Oracle-Efficient Online Learning for Smoothed AdversariesNika Haghtalab, Yanjun Han, Abhishek Shetty, Kunhe Yang. [doi]
- Error Correction Code TransformerYoni Choukroun, Lior Wolf. [doi]
- Approximate Euclidean lengths and distances beyond Johnson-LindenstraussAleksandros Sobczyk, Mathieu Luisier. [doi]
- Understanding the Failure of Batch Normalization for Transformers in NLPJiaxi Wang, Ji Wu, Lei Huang. [doi]
- Bellman Residual Orthogonalization for Offline Reinforcement LearningAndrea Zanette, Martin J. Wainwright. [doi]
- Model Preserving Compression for Neural NetworksJerry Chee, Megan Flynn, Anil Damle, Christopher De Sa. [doi]
- Whitening Convergence Rate of Coupling-based Normalizing FlowsFelix Draxler, Christoph Schnörr, Ullrich Köthe. [doi]
- Not too little, not too much: a theoretical analysis of graph (over)smoothingNicolas Keriven. [doi]
- Coordinate Linear Variance Reduction for Generalized Linear ProgrammingChaobing Song, Cheuk Yin Lin, Stephen Wright, Jelena Diakonikolas. [doi]
- Redeeming intrinsic rewards via constrained optimizationEric Chen, Zhang-Wei Hong, Joni Pajarinen, Pulkit Agrawal. [doi]
- LTMD: Learning Improvement of Spiking Neural Networks with Learnable Thresholding Neurons and Moderate DropoutSiqi Wang, Tee Hiang Cheng, Meng-Hiot Lim. [doi]
- Scalable and Efficient Non-adaptive Deterministic Group TestingDariusz R. Kowalski, Dominik Pajak. [doi]
- Optimal and Adaptive Monteiro-Svaiter AccelerationYair Carmon, Danielle Hausler, Arun Jambulapati, Yujia Jin, Aaron Sidford. [doi]
- Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward EnvironmentsDesik Rengarajan, Sapana Chaudhary, Jaewon Kim, Dileep Kalathil, Srinivas Shakkottai. [doi]
- Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain GeneralizationChaoqi Chen, Luyao Tang, Feng Liu 0036, Gangming Zhao, Yue Huang 0001, Yizhou Yu. [doi]
- Structural Knowledge Distillation for Object DetectionPhilip de Rijk, Lukas Schneider, Marius Cordts, Dariu Gavrila. [doi]
- Semi-Supervised Learning with Decision Trees: Graph Laplacian Tree Alternating OptimizationArman Zharmagambetov, Miguel Á. Carreira-Perpiñán. [doi]
- Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation NetworksFrank Nussbaum, Jakob Gawlikowski, Julia Niebling. [doi]
- Deep Counterfactual Estimation with Categorical Background VariablesEdward De Brouwer. [doi]
- Adjoint-aided inference of Gaussian process driven differential equationsPaterne Gahungu, Christopher W. Lanyon, Mauricio A. Álvarez, Engineer Bainomugisha, Michael T. Smith 0003, Richard Wilkinson. [doi]
- Oracle Inequalities for Model Selection in Offline Reinforcement LearningJonathan N. Lee, George Tucker, Ofir Nachum, Bo Dai, Emma Brunskill. [doi]
- HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event SequencesSiqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei. [doi]
- Benchmarking and Analyzing 3D Human Pose and Shape Estimation Beyond AlgorithmsHui En Pang, Zhongang Cai, Lei Yang 0045, Tianwei Zhang, Ziwei Liu 0002. [doi]
- Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary EnvironmentsLiyu Chen, Haipeng Luo. [doi]
- Multi-Objective Deep Learning with Adaptive Reference VectorsWeiyu Chen, James Kwok. [doi]
- Best of Both Worlds Model SelectionAldo Pacchiano, Christoph Dann, Claudio Gentile. [doi]
- Robust Graph Structure Learning via Multiple Statistical TestsYaohua Wang, Fangyi Zhang, Ming Lin, Senzhang Wang, Xiuyu Sun, Rong Jin 0001. [doi]
- Identification, Amplification and Measurement: A bridge to Gaussian Differential PrivacyYi Liu 0062, Ke Sun 0013, Bei Jiang, Linglong Kong. [doi]
- Multi-Scale Adaptive Network for Single Image DenoisingYuanbiao Gou, Peng Hu, Jiancheng Lv, Joey Tianyi Zhou, Xi Peng. [doi]
- I2DFormer: Learning Image to Document Attention for Zero-Shot Image ClassificationMuhammad Ferjad Naeem, Yongqin Xian, Luc Van Gool, Federico Tombari. [doi]
- LBD: Decouple Relevance and Observation for Individual-Level Unbiased Learning to RankMouxiang Chen, Chenghao Liu, Zemin Liu, Jianling Sun. [doi]
- NeMF: Neural Motion Fields for Kinematic AnimationChengan He, Jun Saito, James Zachary, Holly E. Rushmeier, Yi Zhou. [doi]
- Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong BaselinePenghao Wu, Xiaosong Jia, Li Chen, Junchi Yan, Hongyang Li, Yu Qiao. [doi]
- Kernel Memory Networks: A Unifying Framework for Memory ModelingGeorgios Iatropoulos, Johanni Brea, Wulfram Gerstner. [doi]
- Combinatorial Bandits with Linear Constraints: Beyond Knapsacks and FairnessQingsong Liu, Weihang Xu, Siwei Wang, Zhixuan Fang. [doi]
- A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision TreeKaixun Hua, Jiayang Ren, Yankai Cao. [doi]
- Dynamic Sparse Network for Time Series Classification: Learning What to "See"Qiao Xiao, Boqian Wu, Yu Zhang 0006, Shiwei Liu, Mykola Pechenizkiy, Elena Mocanu, Decebal Constantin Mocanu. [doi]
- Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination PriorJames A. D. Gardner, Bernhard Egger, William Smith 0002. [doi]
- Explicit Tradeoffs between Adversarial and Natural Distributional RobustnessMazda Moayeri, Kiarash Banihashem, Soheil Feizi. [doi]
- When to Intervene: Learning Optimal Intervention Policies for Critical EventsNiranjan Damera-Venkata, Chiranjib Bhattacharyya. [doi]
- On Optimal Learning Under Targeted Data PoisoningSteve Hanneke, Amin Karbasi, Mohammad Mahmoody, Idan Mehalel, Shay Moran. [doi]
- On the detrimental effect of invariances in the likelihood for variational inferenceRichard Kurle, Ralf Herbrich, Tim Januschowski, Yuyang Wang 0001, Jan Gasthaus. [doi]
- When Do Flat Minima Optimizers Work?Jean Kaddour, Linqing Liu, Ricardo Silva, Matt J. Kusner. [doi]
- UViM: A Unified Modeling Approach for Vision with Learned Guiding CodesAlexander Kolesnikov 0003, André Susano Pinto, Lucas Beyer, Xiaohua Zhai, Jeremiah Harmsen, Neil Houlsby. [doi]
- NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse TasksRenbo Tu, Nicholas Roberts, Mikhail Khodak, Junhong Shen, Frederic Sala, Ameet Talwalkar. [doi]
- Exploring evolution-aware & -free protein language models as protein function predictorsMingyang Hu, Fajie Yuan, Kevin Yang, Fusong Ju, Jin Su, Hui Wang, Fei Yang, Qiuyang Ding. [doi]
- Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement LearningZhiwei Xu 0005, Dapeng Li 0001, Bin Zhang, Yuan Zhan, Yunpeng Bai, Guoliang Fan. [doi]
- Learning to Mitigate AI Collusion on Economic PlatformsGianluca Brero, Eric Mibuari, Nicolas Lepore, David C. Parkes. [doi]
- Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement LearningChenyang Wu, Tianci Li, Zongzhang Zhang, Yang Yu. [doi]
- ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale TransformersZhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, Xiaoxia Wu, Conglong Li, Yuxiong He. [doi]
- Trajectory of Mini-Batch Momentum: Batch Size Saturation and Convergence in High DimensionsKiwon Lee, Andrew N. Cheng, Elliot Paquette, Courtney Paquette. [doi]
- New Lower Bounds for Private Estimation and a Generalized Fingerprinting LemmaGautam Kamath 0001, Argyris Mouzakis, Vikrant Singhal. [doi]
- TotalSelfScan: Learning Full-body Avatars from Self-Portrait Videos of Faces, Hands, and BodiesJunting Dong, Qi Fang, Yudong Guo, Sida Peng, Qing Shuai, Xiaowei Zhou, Hujun Bao. [doi]
- Improving Variational Autoencoders with Density Gap-based RegularizationJianfei Zhang, Jun Bai, Chenghua Lin, Yanmeng Wang, Wenge Rong. [doi]
- Rethinking the Reverse-engineering of Trojan TriggersZhenting Wang, Kai Mei, Hailun Ding, Juan Zhai, ShiQing Ma. [doi]
- Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRankAlessandro Epasto, Vahab Mirrokni, Bryan Perozzi, Anton Tsitsulin, Peilin Zhong. [doi]
- Autoregressive Search Engines: Generating Substrings as Document IdentifiersMichele Bevilacqua, Giuseppe Ottaviano, Patrick S. H. Lewis, Scott Yih, Sebastian Riedel 0001, Fabio Petroni. [doi]
- Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous ActionsHaanvid Lee, Jongmin Lee 0004, Yunseon Choi, Wonseok Jeon, Byung-Jun Lee 0001, Yung-Kyun Noh, Kee-Eung Kim. [doi]
- Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language ModelsBoxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro. [doi]
- Peer Prediction for Learning AgentsShi Feng, Fang-Yi Yu, Yiling Chen 0001. [doi]
- Pluralistic Image Completion with Gaussian Mixture ModelsXiaobo Xia, Wenhao Yang, Jie Ren, Yewen Li, Yibing Zhan, Bo Han 0003, Tongliang Liu. [doi]
- DropCov: A Simple yet Effective Method for Improving Deep ArchitecturesQilong Wang, Mingze Gao, ZhaoLin Zhang, Jiangtao Xie, Peihua Li, Qinghua Hu. [doi]
- Minimax Optimal Algorithms for Fixed-Budget Best Arm IdentificationJunpei Komiyama, Taira Tsuchiya, Junya Honda. [doi]
- Automatic Differentiation of Programs with Discrete RandomnessGaurav Arya, Moritz Schauer, Frank Schäfer, Christopher Rackauckas. [doi]
- BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio SynthesisYichong Leng, Zehua Chen, Junliang Guo, Haohe Liu, Jiawei Chen, Xu Tan, Danilo Mandic, Lei He, Xiangyang Li, Tao Qin, Sheng Zhao, Tie-Yan Liu. [doi]
- Neural Transmitted Radiance FieldsChengxuan Zhu, Renjie Wan, Boxin Shi. [doi]
- Recurrent Memory TransformerAydar Bulatov, Yuri Kuratov, Mikhail S. Burtsev. [doi]
- You Can't Count on Luck: Why Decision Transformers and RvS Fail in Stochastic EnvironmentsKeiran Paster, Sheila A. McIlraith, Jimmy Ba. [doi]
- Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell ResolutionLeon Hetzel, Simon Böhm, Niki Kilbertus, Stephan Günnemann, Mohammad Lotfollahi, Fabian J. Theis. [doi]
- Improving Policy Learning via Language Dynamics DistillationVictor Zhong, Jesse Mu, Luke Zettlemoyer, Edward Grefenstette, Tim Rocktäschel. [doi]
- The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement LearningYunhao Tang, Rémi Munos, Mark Rowland, Bernardo Ávila Pires, Will Dabney, Marc G. Bellemare. [doi]
- On the Safety of Interpretable Machine Learning: A Maximum Deviation ApproachDennis Wei, Rahul Nair, Amit Dhurandhar, Kush R. Varshney, Elizabeth Daly, Moninder Singh. [doi]
- STaR: Bootstrapping Reasoning With ReasoningEric Zelikman, Yuhuai Wu, Jesse Mu, Noah D. Goodman. [doi]
- Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture ModelsYihan Zhang 0001, Nir Weinberger. [doi]
- Deciding What to Model: Value-Equivalent Sampling for Reinforcement LearningDilip Arumugam, Benjamin Van Roy. [doi]
- Independence Testing for Bounded Degree Bayesian NetworksArnab Bhattacharyya 0001, Clément L. Canonne, Joy Qiping Yang. [doi]
- Use-Case-Grounded Simulations for Explanation EvaluationValerie Chen, Nari Johnson, Nicholay Topin, Gregory Plumb, Ameet Talwalkar. [doi]
- ComGAN: Unsupervised Disentanglement and Segmentation via Image CompositionRui Ding, Kehua Guo, Xiangyuan Zhu, Zheng Wu, Liwei Wang. [doi]
- SIREN: Shaping Representations for Detecting Out-of-Distribution ObjectsXuefeng Du, Gabriel Gozum, Yifei Ming, Yixuan Li. [doi]
- Deep Combinatorial AggregationYuesong Shen, Daniel Cremers. [doi]
- MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity ParsingZelun Luo, Zane Durante, Linden Li, Wanze Xie, Ruochen Liu, Emily Jin, Zhuoyi Huang, Lun Yu Li, Jiajun Wu 0001, Juan Carlos Niebles, Ehsan Adeli 0001, Fei-Fei Li 0001. [doi]
- Emergence of Hierarchical Layers in a Single Sheet of Self-Organizing Spiking NeuronsPaul Bertens, Seong-Whan Lee. [doi]
- Reinforcement Learning with Automated Auxiliary Loss SearchTairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang 0001, Yuqing Yang 0001, Dongsheng Li 0002. [doi]
- BEVFusion: A Simple and Robust LiDAR-Camera Fusion FrameworkTingting Liang, Hongwei Xie, Kaicheng Yu, Zhongyu Xia, Zhiwei Lin, Yongtao Wang, Tao Tang, Bing Wang, Zhi Tang. [doi]
- Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple KernelWeixuan Liang, Xinwang Liu, Yong Liu 0018, Sihang Zhou, Jun-Jie Huang, Siwei Wang, Jiyuan Liu, Yi Zhang, En Zhu. [doi]
- Detection and Localization of Changes in Conditional DistributionsLizhen Nie, Dan Nicolae. [doi]
- u-HuBERT: Unified Mixed-Modal Speech Pretraining And Zero-Shot Transfer to Unlabeled ModalityWei-Ning Hsu, Bowen Shi. [doi]
- Perfect Sampling from Pairwise ComparisonsDimitris Fotakis 0001, Alkis Kalavasis, Christos Tzamos. [doi]
- MCVD - Masked Conditional Video Diffusion for Prediction, Generation, and InterpolationVikram Voleti, Alexia Jolicoeur-Martineau, Chris Pal. [doi]
- Surprising Instabilities in Training Deep Networks and a Theoretical AnalysisYuxin Sun, Dong Lao, Ganesh Sundaramoorthi, Anthony J. Yezzi. [doi]
- A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel OptimizationSongtao Lu, Siliang Zeng, Xiaodong Cui, Mark S. Squillante, Lior Horesh, Brian Kingsbury, Jia Liu 0002, Mingyi Hong. [doi]
- Polynomial Neural Fields for Subband Decomposition and ManipulationGuandao Yang, Sagie Benaim, Varun Jampani, Kyle Genova, Jonathan T. Barron, Thomas A. Funkhouser, Bharath Hariharan, Serge J. Belongie. [doi]
- Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov ChainsNicolai Engelmann, Heinz Koeppl. [doi]
- Sub-exponential time Sum-of-Squares lower bounds for Principal Components AnalysisAaron Potechin, Goutham Rajendran. [doi]
- CoPur: Certifiably Robust Collaborative Inference via Feature PurificationJing Liu, Chulin Xie, Sanmi Koyejo, Bo Li 0026. [doi]
- Supervised Training of Conditional Monge MapsCharlotte Bunne, Andreas Krause 0001, Marco Cuturi. [doi]
- Constrained Langevin Algorithms with L-mixing External Random VariablesYuping Zheng, Andrew G. Lamperski. [doi]
- NOTE: Robust Continual Test-time Adaptation Against Temporal CorrelationTaesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, Sung-Ju Lee. [doi]
- Controllable Text Generation with Neurally-Decomposed OracleTao Meng, Sidi Lu, Nanyun Peng, Kai-Wei Chang. [doi]
- On Feature Learning in the Presence of Spurious CorrelationsPavel Izmailov, Polina Kirichenko, Nate Gruver, Andrew Gordon Wilson. [doi]
- The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT ModelsConglong Li, Minjia Zhang, Yuxiong He. [doi]
- On the Stability and Scalability of Node Perturbation LearningNaoki Hiratani, Yash Mehta, Timothy P. Lillicrap, Peter E. Latham. [doi]
- VRL3: A Data-Driven Framework for Visual Deep Reinforcement LearningChe Wang, Xufang Luo, Keith W. Ross, Dongsheng Li 0002. [doi]
- QueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level QueryYabo Xiao, Kai Su, Xiaojuan Wang, Dongdong Yu, Lei Jin, Mingshu He, Zehuan Yuan. [doi]
- Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent KernelSeijin Kobayashi, Pau Vilimelis Aceituno, Johannes von Oswald. [doi]
- Generalizing Bayesian Optimization with Decision-theoretic EntropiesWillie Neiswanger, Lantao Yu, Shengjia Zhao, Chenlin Meng, Stefano Ermon. [doi]
- Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust RegressionLiangzu Peng, Christian Kümmerle, René Vidal. [doi]
- Thor: Wielding Hammers to Integrate Language Models and Automated Theorem ProversAlbert Qiaochu Jiang, Wenda Li, Szymon Tworkowski, Konrad Czechowski, Tomasz Odrzygózdz, Piotr Milos, Yuhuai Wu, Mateja Jamnik. [doi]
- MetaMask: Revisiting Dimensional Confounder for Self-Supervised LearningJiangmeng Li, Wenwen Qiang, Yanan Zhang, Wenyi Mo, Changwen Zheng, Bing Su 0001, Hui Xiong. [doi]
- Matryoshka Representation LearningAditya Kusupati, Gantavya Bhatt, Aniket Rege, Matthew Wallingford, Aditya Sinha, Vivek Ramanujan, William Howard-Snyder, Kaifeng Chen, Sham M. Kakade, Prateek Jain 0002, Ali Farhadi. [doi]
- Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based ModelZhisheng Xiao, Tian Han. [doi]
- Private Graph All-Pairwise-Shortest-Path Distance Release with Improved Error RateChenglin Fan, Ping Li 0001, Xiaoyun Li. [doi]
- Chain of Thought Imitation with Procedure CloningMengjiao Yang, Dale Schuurmans, Pieter Abbeel, Ofir Nachum. [doi]
- Tensor Wheel Decomposition and Its Tensor Completion ApplicationZhong-Cheng Wu, Ting-Zhu Huang, Liang-Jian Deng, Hong-Xia Dou, Deyu Meng. [doi]
- Translation-equivariant Representation in Recurrent Networks with a Continuous Manifold of AttractorsWenhao Zhang, Ying Nian Wu, Si Wu. [doi]
- PDEBench: An Extensive Benchmark for Scientific Machine LearningMakoto Takamoto, Timothy Praditia, Raphael Leiteritz, Daniel Mackinlay, Francesco Alesiani, Dirk Pflüger, Mathias Niepert. [doi]
- Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural NetworksChing-Yao Chuang, Stefanie Jegelka. [doi]
- ORIENT: Submodular Mutual Information Measures for Data Subset Selection under Distribution ShiftAthresh Karanam, KrishnaTeja Killamsetty, Harsha Kokel, Rishabh K. Iyer. [doi]
- Action-modulated midbrain dopamine activity arises from distributed control policiesJack Lindsey, Ashok Litwin-Kumar. [doi]
- Learning Predictions for Algorithms with PredictionsMisha Khodak, Maria-Florina F. Balcan, Ameet Talwalkar, Sergei Vassilvitskii. [doi]
- Robustness to Unbounded Smoothness of Generalized SignSGDMichael Crawshaw, Mingrui Liu, Francesco Orabona, Wei Zhang 0022, Zhenxun Zhuang. [doi]
- Rashomon Capacity: A Metric for Predictive Multiplicity in ClassificationHsiang Hsu, Flávio P. Calmon. [doi]
- Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity FunctionsBogdan Mazoure, Ilya Kostrikov, Ofir Nachum, Jonathan Tompson. [doi]
- OpenAUC: Towards AUC-Oriented Open-Set RecognitionZitai Wang, Qianqian Xu, Zhiyong Yang 0001, Yuan He 0011, Xiaochun Cao, Qingming Huang. [doi]
- Skills Regularized Task Decomposition for Multi-task Offline Reinforcement LearningMinjong Yoo, Sangwoo Cho, Honguk Woo. [doi]
- Discovered Policy OptimisationChris Lu 0001, Jakub Grudzien Kuba, Alistair Letcher, Luke Metz, Christian Schröder de Witt, Jakob N. Foerster. [doi]
- Path Independent Equilibrium Models Can Better Exploit Test-Time ComputationCem Anil, Ashwini Pokle, Kaiqu Liang, Johannes Treutlein, Yuhuai Wu, Shaojie Bai, J. Zico Kolter, Roger B. Grosse. [doi]
- Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference PerspectiveRongzhe Wei, Haoteng Yin, Junteng Jia, Austin R. Benson, Pan Li 0005. [doi]
- Wasserstein Iterative Networks for Barycenter EstimationAlexander Korotin, Vage Egiazarian, Lingxiao Li, Evgeny Burnaev. [doi]
- Finite Sample Analysis Of Dynamic Regression Parameter LearningMark Kozdoba, Edward Moroshko, Shie Mannor, Yacov Crammer. [doi]
- Pseudo-Riemannian Graph Convolutional NetworksBo Xiong, Shichao Zhu, Nico Potyka, Shirui Pan, Chuan Zhou 0001, Steffen Staab. [doi]
- GAUDI: A Neural Architect for Immersive 3D Scene GenerationMiguel Ángel Bautista 0001, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, Joshua M. Susskind. [doi]
- A Closer Look at Learned Optimization: Stability, Robustness, and Inductive BiasesJames Harrison, Luke Metz, Jascha Sohl-Dickstein. [doi]
- When to Ask for Help: Proactive Interventions in Autonomous Reinforcement LearningAnnie Xie, Fahim Tajwar, Archit Sharma, Chelsea Finn. [doi]
- Reinforcement Learning with a TerminatorGuy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal. [doi]
- Transformer-based Working Memory for Multiagent Reinforcement Learning with Action ParsingYaodong Yang 0001, Guangyong Chen, Weixun Wang, Xiaotian Hao, Jianye Hao, Pheng-Ann Heng. [doi]
- Assistive Teaching of Motor Control Tasks to HumansMegha Srivastava, Erdem Biyik, Suvir Mirchandani, Noah D. Goodman, Dorsa Sadigh. [doi]
- Local-Global MCMC kernels: the best of both worldsSergey Samsonov, Evgeny Lagutin, Marylou Gabrié, Alain Durmus, Alexey Naumov, Eric Moulines. [doi]
- Semi-infinitely Constrained Markov Decision ProcessesLiangyu Zhang, Yang Peng, Wenhao Yang, Zhihua Zhang. [doi]
- Unsupervised Point Cloud Completion and Segmentation by Generative Adversarial Autoencoding NetworkChangfeng Ma, Yang Yang, Jie Guo 0001, Fei Pan, Chongjun Wang, Yanwen Guo 0001. [doi]
- Weighted Distillation with Unlabeled ExamplesFotis Iliopoulos, Vasilis Kontonis, Cenk Baykal, Gaurav Menghani, Khoa Trinh, Erik Vee. [doi]
- Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of OverfittingNeil Mallinar, James B. Simon, Amirhesam Abedsoltan, Parthe Pandit, Misha Belkin, Preetum Nakkiran. [doi]
- Maximum Likelihood Training of Implicit Nonlinear Diffusion ModelDongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon. [doi]
- A Differentially Private Linear-Time fPTAS for the Minimum Enclosing Ball ProblemBar Mahpud, Or Sheffet. [doi]
- Measuring Data Reconstruction Defenses in Collaborative Inference SystemsMengda Yang, Ziang Li, Juan Wang, Hongxin Hu, Ao Ren, Xiaoyang Xu, Wenzhe Yi. [doi]
- Few-Shot Audio-Visual Learning of Environment AcousticsSagnik Majumder, Changan Chen, Ziad Al-Halah, Kristen Grauman. [doi]
- Wasserstein Logistic Regression with Mixed FeaturesAras Selvi, Mohammad Reza Belbasi, Martin Haugh, Wolfram Wiesemann. [doi]
- Free Probability for predicting the performance of feed-forward fully connected neural networksReda Chhaibi, Tariq Daouda, Ezechiel Kahn. [doi]
- NaturalProver: Grounded Mathematical Proof Generation with Language ModelsSean Welleck, Jiacheng Liu, Ximing Lu, Hannaneh Hajishirzi, Yejin Choi. [doi]
- S4ND: Modeling Images and Videos as Multidimensional Signals with State SpacesEric Nguyen, Karan Goel, Albert Gu, Gordon W. Downs, Preey Shah, Tri Dao, Stephen Baccus, Christopher Ré. [doi]
- A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEsSongming Liu, Hao Zhongkai, Chengyang Ying, Hang Su, Jun Zhu, Ze Cheng. [doi]
- Black-Box Generalization: Stability of Zeroth-Order LearningKonstantinos E. Nikolakakis, Farzin Haddadpour, Dionysios S. Kalogerias, Amin Karbasi. [doi]
- Top Two Algorithms RevisitedMarc Jourdan, Rémy Degenne, Dorian Baudry, Rianne de Heide, Emilie Kaufmann. [doi]
- Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax OptimizationJunchi Yang, Xiang Li, Niao He. [doi]
- Confident Adaptive Language ModelingTal Schuster, Adam Fisch, Jai Gupta, Mostafa Dehghani 0001, Dara Bahri, Vinh Tran 0002, Yi Tay, Donald Metzler. [doi]
- Robust Binary Models by Pruning Randomly-initialized NetworksChen Liu, Ziqi Zhao, Sabine Süsstrunk, Mathieu Salzmann. [doi]
- DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement LearningSeungjae Lee, Jigang Kim, Inkyu Jang, H. Jin Kim. [doi]
- Don't Roll the Dice, Ask Twice: The Two-Query Distortion of Matching Problems and BeyondGeorgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros A. Voudouris. [doi]
- On Infinite Separations Between Simple and Optimal MechanismsAlexandros Psomas, Ariel Schvartzman Cohenca, S. Weinberg. [doi]
- Knowledge-Aware Bayesian Deep Topic ModelDongsheng Wang 0003, Yishi Xu, Miaoge Li, Zhibin Duan, Chaojie Wang 0001, Bo Chen 0001, Mingyuan Zhou. [doi]
- Blessing of Depth in Linear Regression: Deeper Models Have Flatter Landscape Around the True SolutionJianhao Ma, Salar Fattahi. [doi]
- Information-Theoretic Safe Exploration with Gaussian ProcessesAlessandro G. Bottero, Carlos E. Luis, Julia Vinogradska, Felix Berkenkamp, Jan Peters 0001. [doi]
- FedAvg with Fine Tuning: Local Updates Lead to Representation LearningLiam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai. [doi]
- On Leave-One-Out Conditional Mutual Information For GeneralizationMohamad Rida Rammal, Alessandro Achille, Aditya Golatkar, Suhas N. Diggavi, Stefano Soatto. [doi]
- Learning single-index models with shallow neural networksAlberto Bietti, Joan Bruna, Clayton Sanford, Min Jae Song. [doi]
- Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian OptimizationLei Song, Ke Xue 0001, Xiaobin Huang, Chao Qian 0001. [doi]
- SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-agent Reinforcement LearningYuhang Jiang, Jianzhun Shao, Shuncheng He, Hongchang Zhang, Xiangyang Ji. [doi]
- Randomized Sketches for Clustering: Fast and Optimal Kernel $k$-MeansRong Yin 0001, Yong Liu 0018, Weiping Wang 0005, Dan Meng. [doi]
- Multiview Human Body Reconstruction from Uncalibrated CamerasZhixuan Yu, Linguang Zhang, Yuanlu Xu, Chengcheng Tang, Luan Tran, Cem Keskin, Hyun Soo Park. [doi]
- Function Classes for Identifiable Nonlinear Independent Component AnalysisSimon Buchholz, Michel Besserve, Bernhard Schölkopf. [doi]
- A Quadrature Rule combining Control Variates and Adaptive Importance SamplingRémi Leluc, François Portier, Johan Segers, Aigerim Zhuman. [doi]
- Advancing Model Pruning via Bi-level OptimizationYihua Zhang, Yuguang Yao, Parikshit Ram, Pu Zhao 0001, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu 0001. [doi]
- Triangulation candidates for Bayesian optimizationRobert B. Gramacy, Annie Sauer, Nathan Wycoff. [doi]
- Biologically Inspired Dynamic Thresholds for Spiking Neural NetworksJianchuan Ding, Bo Dong, Felix Heide, Yufei Ding, Yunduo Zhou, Baocai Yin, Xin Yang 0011. [doi]
- Shield Decentralization for Safe Multi-Agent Reinforcement LearningDaniel Melcer, Christopher Amato, Stavros Tripakis. [doi]
- SecureFedYJ: a safe feature Gaussianization protocol for Federated LearningTanguy Marchand, Boris Muzellec, Constance Beguier, Jean Ogier Du Terrail, Mathieu Andreux. [doi]
- SQ Lower Bounds for Learning Single Neurons with Massart NoiseIlias Diakonikolas, Daniel Kane, Lisheng Ren, Yuxin Sun. [doi]
- Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian ModelsHaoyue Dai, Peter Spirtes, Kun Zhang 0001. [doi]
- Continuous MDP Homomorphisms and Homomorphic Policy GradientSahand Rezaei-Shoshtari, Rosie Zhao, Prakash Panangaden, David Meger, Doina Precup. [doi]
- Faster Linear Algebra for Distance MatricesPiotr Indyk, Sandeep Silwal. [doi]
- Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership InferenceJasper Tan, Blake Mason, Hamid Javadi, Richard G. Baraniuk. [doi]
- Mean Estimation with User-level Privacy under Data HeterogeneityRachel Cummings, Vitaly Feldman, Audra McMillan, Kunal Talwar. [doi]
- Open-Ended Reinforcement Learning with Neural Reward FunctionsRobert Meier, Asier Mujika. [doi]
- Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural NetworksYan Scholten, Jan Schuchardt, Simon Geisler, Aleksandar Bojchevski, Stephan Günnemann. [doi]
- Revisiting Sparse Convolutional Model for Visual RecognitionXili Dai, Mingyang Li, Pengyuan Zhai, Shengbang Tong, Xingjian Gao, Shao-Lun Huang, Zhihui Zhu, Chong You, Yi Ma 0001. [doi]
- A Dataset for Efforts Towards Achieving the Sustainable Development Goal of Safe Working EnvironmentsEirik Lund Flogard, Ole Jakob Mengshoel. [doi]
- A Survey and Datasheet Repository of Publicly Available US Criminal Justice DatasetsMiri Zilka, Bradley Butcher, Adrian Weller. [doi]
- Distributionally robust weighted k-nearest neighborsShixiang Zhu, Liyan Xie, Minghe Zhang, Rui Gao, Yao Xie. [doi]
- Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax OptimizationLiang Zhang, Kiran K. Thekumparampil, Sewoong Oh, Niao He. [doi]
- SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite ImageryYezhen Cong, Samar Khanna, Chenlin Meng, Patrick Liu, Erik Rozi, Yutong He, Marshall Burke, David B. Lobell, Stefano Ermon. [doi]
- Environment Diversification with Multi-head Neural Network for Invariant LearningBo-Wei Huang, Keng-Te Liao, Chang-Sheng Kao, Shou-de Lin. [doi]
- MultiGuard: Provably Robust Multi-label Classification against Adversarial ExamplesJinyuan Jia, Wenjie Qu 0001, Neil Zhenqiang Gong. [doi]
- An $\alpha$-regret analysis of Adversarial Bilateral TradeYossi Azar, Amos Fiat, Federico Fusco. [doi]
- TAP-Vid: A Benchmark for Tracking Any Point in a VideoCarl Doersch, Ankush Gupta, Larisa Markeeva, Adrià Recasens, Lucas Smaira, Yusuf Aytar, João Carreira, Andrew Zisserman, Yi Yang. [doi]
- LAION-5B: An open large-scale dataset for training next generation image-text modelsChristoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, Patrick Schramowski, Srivatsa Kundurthy, Katherine Crowson, Ludwig Schmidt, Robert Kaczmarczyk, Jenia Jitsev. [doi]
- Symbolic Distillation for Learned TCP Congestion ControlS. P. Sharan, Wenqing Zheng, Kuo-Feng Hsu, Jiarong Xing, Ang Chen 0001, Zhangyang Wang. [doi]
- Toward a realistic model of speech processing in the brain with self-supervised learningJuliette Millet, Charlotte Caucheteux, Pierre Orhan, Yves Boubenec, Alexandre Gramfort, Ewan Dunbar, Christophe Pallier, Jean-Remi King. [doi]
- Measures of Information Reflect Memorization PatternsRachit Bansal, Danish Pruthi, Yonatan Belinkov. [doi]
- Training with More Confidence: Mitigating Injected and Natural Backdoors During TrainingZhenting Wang, Hailun Ding, Juan Zhai, ShiQing Ma. [doi]
- Non-Gaussian Tensor ProgramsEugene Golikov, Greg Yang. [doi]
- Challenging Common Assumptions in Convex Reinforcement LearningMirco Mutti, Riccardo De Santi, Piersilvio De Bartolomeis, Marcello Restelli. [doi]
- Adversarial Style Augmentation for Domain Generalized Urban-Scene SegmentationZhun Zhong, Yuyang Zhao, Gim Hee Lee, Nicu Sebe. [doi]
- Improving Certified Robustness via Statistical Learning with Logical ReasoningZhuolin Yang, Zhikuan Zhao, Boxin Wang, Jiawei Zhang, Linyi Li, Hengzhi Pei, Bojan Karlas, Ji Liu, Heng Guo 0001, Ce Zhang, Bo Li 0026. [doi]
- FeLMi : Few shot Learning with hard MixupAniket Roy, Anshul Shah, Ketul Shah, Prithviraj Dhar, Anoop Cherian, Rama Chellappa. [doi]
- SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial TrainingJianhao Ding, Tong Bu, Zhaofei Yu, Tiejun Huang 0001, Jian K. Liu. [doi]
- Joint Entropy Search for Multi-Objective Bayesian OptimizationBen Tu, Axel Gandy, Nikolas Kantas, Behrang Shafei. [doi]
- Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored ClusteringYongyi Su, Xun Xu, Kui Jia. [doi]
- Near-Optimal Sample Complexity Bounds for Constrained MDPsSharan Vaswani, Lin Yang 0011, Csaba Szepesvári. [doi]
- Trimmed Maximum Likelihood Estimation for Robust Generalized Linear ModelPranjal Awasthi, Abhimanyu Das, Weihao Kong, Rajat Sen. [doi]
- Maximizing Revenue under Market Shrinkage and Market UncertaintyMaria-Florina F. Balcan, Siddharth Prasad, Tuomas Sandholm. [doi]
- Learning to Scaffold: Optimizing Model Explanations for TeachingPatrick Fernandes, Marcos V. Treviso, Danish Pruthi, André Martins, Graham Neubig. [doi]
- Spectral Bias in Practice: The Role of Function Frequency in GeneralizationSara Fridovich-Keil, Raphael Gontijo Lopes, Rebecca Roelofs. [doi]
- BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language ModelingYizhao Gao, Nanyi Fei, Haoyu Lu, Zhiwu Lu 0001, Hao Jiang, Yijie Li, Zhao Cao. [doi]
- Exponential Separations in Symmetric Neural NetworksAaron Zweig, Joan Bruna. [doi]
- Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label LearningShikun Li, Xiaobo Xia, Hansong Zhang, Yibing Zhan, Shiming Ge, Tongliang Liu. [doi]
- Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz ConditionLesi Chen, Boyuan Yao, Luo Luo. [doi]
- InsNet: An Efficient, Flexible, and Performant Insertion-based Text Generation ModelSidi Lu, Tao Meng, Nanyun Peng. [doi]
- Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video GroundingYang Jin, Yongzhi Li, Zehuan Yuan, Yadong Mu. [doi]
- Efficiency Ordering of Stochastic Gradient DescentJie Hu, Vishwaraj Doshi, Do Young Eun. [doi]
- Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?Alexander Korotin, Alexander Kolesov, Evgeny Burnaev. [doi]
- TreeMoCo: Contrastive Neuron Morphology Representation LearningHanbo Chen, Jiawei Yang, Daniel Maxim Iascone, Lijuan Liu, Lei He 0001, Hanchuan Peng, Jianhua Yao 0001. [doi]
- Nonstationary Dual Averaging and Online Fair AllocationLuofeng Liao, Yuan Gao, Christian Kroer. [doi]
- DARE: Disentanglement-Augmented Rationale ExtractionLinan Yue, Qi Liu 0003, Yichao Du, Yanqing An, Li Wang, Enhong Chen. [doi]
- The Sample Complexity of One-Hidden-Layer Neural NetworksGal Vardi, Ohad Shamir, Nati Srebro. [doi]
- Biological Learning of Irreducible Representations of Commuting TransformationsAlexander Genkin, David Lipshutz, Siavash Golkar, Tiberiu Tesileanu, Dmitri B. Chklovskii. [doi]
- Lazy and Fast Greedy MAP Inference for Determinantal Point ProcessShinichi Hemmi, Taihei Oki, Shinsaku Sakaue, Kaito Fujii, Satoru Iwata 0001. [doi]
- Motion Transformer with Global Intention Localization and Local Movement RefinementShaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele. [doi]
- Spartan: Differentiable Sparsity via Regularized TransportationKai Sheng Tai, Tai-Peng Tian, Ser-Nam Lim. [doi]
- Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuningWeicong Liang, Yuhui Yuan, Henghui Ding, Xiao Luo, Weihong Lin, Ding Jia, Zheng Zhang, Chao Zhang, Han Hu. [doi]
- MetricFormer: A Unified Perspective of Correlation Exploring in Similarity LearningJiexi Yan, Erkun Yang, Cheng Deng, Heng Huang. [doi]
- Meta-Auto-Decoder for Solving Parametric Partial Differential EquationsXiang Huang, Zhanhong Ye, Hongsheng Liu, Shi Ji, Zidong Wang, Kang Yang, Yang Li, Min Wang, Haotian Chu, Fan Yu, Bei Hua, Lei Chen, Bin Dong. [doi]
- A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDPFan Chen, Junyu Zhang, Zaiwen Wen. [doi]
- Exposing and Exploiting Fine-Grained Block Structures for Fast and Accurate Sparse TrainingPeng Jiang 0004, Lihan Hu, Shihui Song. [doi]
- Latent Planning via Expansive Tree SearchRobert Gieselmann, Florian T. Pokorny. [doi]
- Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural NetworksMichael Lohaus, Matthäus Kleindessner, Krishnaram Kenthapadi, Francesco Locatello, Chris Russell 0001. [doi]
- Truncated Matrix Power Iteration for Differentiable DAG LearningZhen Zhang 0008, Ignavier Ng, Dong Gong, Yuhang Liu, Ehsan Abbasnejad, Mingming Gong, Kun Zhang 0001, Javen Qinfeng Shi. [doi]
- Risk Bounds of Multi-Pass SGD for Least Squares in the Interpolation RegimeDifan Zou, Jingfeng Wu, Vladimir Braverman, Quanquan Gu, Sham M. Kakade. [doi]
- Root Cause Analysis of Failures in Microservices through Causal DiscoveryAzam Ikram, Sarthak Chakraborty, Subrata Mitra, Shiv Kumar Saini, Saurabh Bagchi, Murat Kocaoglu. [doi]
- HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper SurfacesQing Li, Yu-Shen Liu, Jin-San Cheng, Cheng Wang 0003, Yi Fang, Zhizhong Han. [doi]
- Mask-based Latent Reconstruction for Reinforcement LearningTao Yu, Zhizheng Zhang 0004, Cuiling Lan, Yan Lu, Zhibo Chen 0001. [doi]
- Look More but Care Less in Video RecognitionYitian Zhang, Yue Bai, Huan Wang 0014, Yi Xu 0005, Yun Fu 0001. [doi]
- Pareto Set Learning for Expensive Multi-Objective OptimizationXi Lin 0001, Zhiyuan Yang 0003, Xiaoyuan Zhang, Qingfu Zhang 0001. [doi]
- Expected Improvement for Contextual BanditsHung Tran-The, Sunil Gupta 0001, Santu Rana, Tuan Truong, Long Tran-Thanh, Svetha Venkatesh. [doi]
- Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech ProcessingYonggan Fu, Yang Zhang 0001, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Jeff Lai, Celine Lin. [doi]
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial PerturbationZeyu Qin, Yanbo Fan, Yi Liu, Li Shen 0008, Yong Zhang, Jue Wang 0001, Baoyuan Wu. [doi]
- On Learning and Refutation in Noninteractive Local Differential PrivacyAlexander Edmonds, Aleksandar Nikolov, Toniann Pitassi. [doi]
- An Empirical Study on Disentanglement of Negative-free Contrastive LearningJinkun Cao, Ruiqian Nai, Qing Yang, Jialei Huang, Yang Gao. [doi]
- A Lagrangian Duality Approach to Active LearningJuan Elenter, Navid Naderializadeh, Alejandro Ribeiro. [doi]
- 3DOS: Towards 3D Open Set Learning - Benchmarking and Understanding Semantic Novelty Detection on Point CloudsAntonio Alliegro, Francesco Cappio Borlino, Tatiana Tommasi. [doi]
- Smoothed Embeddings for Certified Few-Shot LearningMikhail Pautov, Olesya Kuznetsova, Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets. [doi]
- Recurrent Convolutional Neural Networks Learn Succinct Learning AlgorithmsSurbhi Goel, Sham M. Kakade, Adam Kalai, Cyril Zhang. [doi]
- Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte CarloIgnacio Peis, Chao Ma 0019, José Miguel Hernández-Lobato. [doi]
- Hardness in Markov Decision Processes: Theory and PracticeMichelangelo Conserva, Paulo E. Rauber. [doi]
- Deep Compression of Pre-trained Transformer ModelsNaigang Wang, Chi-Chun (Charlie) Liu, Swagath Venkataramani, Sanchari Sen, Chia-Yu Chen, Kaoutar El Maghraoui, Vijayalakshmi Srinivasan, Leland Chang. [doi]
- ALMA: Hierarchical Learning for Composite Multi-Agent TasksShariq Iqbal, Robby Costales, Fei Sha. [doi]
- Finding Correlated Equilibrium of Constrained Markov Game: A Primal-Dual ApproachZiyi Chen 0002, Shaocong Ma, Yi Zhou 0017. [doi]
- Natural image synthesis for the retina with variational information bottleneck representationBabak Rahmani, Demetri Psaltis, Christophe Moser. [doi]
- K-LITE: Learning Transferable Visual Models with External KnowledgeSheng Shen, Chunyuan Li, Xiaowei Hu 0006, Yujia Xie, Jianwei Yang, Pengchuan Zhang, Zhe Gan, Lijuan Wang, Lu Yuan, Ce Liu 0001, Kurt Keutzer, Trevor Darrell, Anna Rohrbach, Jianfeng Gao. [doi]
- ENS-10: A Dataset For Post-Processing Ensemble Weather ForecastsSaleh Ashkboos, Langwen Huang, Nikoli Dryden, Tal Ben-Nun, Peter Dueben, Lukas Gianinazzi, Luca Kummer, Torsten Hoefler. [doi]
- Online Learning and Pricing for Network Revenue Management with Reusable ResourcesHuiwen Jia, Cong Shi 0001, Siqian Shen. [doi]
- A sharp NMF result with applications in network modelingJiashun Jin. [doi]
- Global Convergence of Federated Learning for Mixed RegressionLili Su, Jiaming Xu, Pengkun Yang. [doi]
- Hub-Pathway: Transfer Learning from A Hub of Pre-trained ModelsYang Shu, Zhangjie Cao, Ziyang Zhang, Jianmin Wang 0001, Mingsheng Long. [doi]
- On the Discrimination Risk of Mean Aggregation Feature Imputation in GraphsArjun Subramonian, Kai-Wei Chang, Yizhou Sun. [doi]
- Matching in Multi-arm Bandit with CollisionYirui Zhang, Siwei Wang, Zhixuan Fang. [doi]
- Effective Dimension in Bandit Problems under CensorshipGauthier Guinet, Saurabh Amin, Patrick Jaillet. [doi]
- On the consistent estimation of optimal Receiver Operating Characteristic (ROC) curveRenxiong Liu, Yunzhang Zhu. [doi]
- OpenOOD: Benchmarking Generalized Out-of-Distribution DetectionJingkang Yang, Pengyun Wang, Dejian Zou, Zitang Zhou, Kunyuan Ding, Wenxuan Peng, Haoqi Wang, Guangyao Chen, Bo Li, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Dan Hendrycks, Yixuan Li 0001, Ziwei Liu 0002. [doi]
- Rare Gems: Finding Lottery Tickets at InitializationKartik Sreenivasan, Jy-yong Sohn, Liu Yang, Matthew Grinde, Alliot Nagle, Hongyi Wang, Eric P. Xing, Kangwook Lee 0001, Dimitris S. Papailiopoulos. [doi]
- GAPX: Generalized Autoregressive Paraphrase-Identification XYifei Zhou, Renyu Li, Hayden Housen, Ser-Nam Lim. [doi]
- Debiased Self-Training for Semi-Supervised LearningBaixu Chen, Junguang Jiang, Ximei Wang, Pengfei Wan, Jianmin Wang 0001, Mingsheng Long. [doi]
- AutoMTL: A Programming Framework for Automating Efficient Multi-Task LearningLijun Zhang, Xiao Liu, Hui Guan. [doi]
- Outlier-Robust Sparse Mean Estimation for Heavy-Tailed DistributionsIlias Diakonikolas, Daniel Kane, Jasper C. H. Lee, Ankit Pensia. [doi]
- First Hitting Diffusion Models for Generating Manifold, Graph and Categorical DataMao Ye, Lemeng Wu, Qiang Liu. [doi]
- Improving GANs with A Dynamic DiscriminatorCeyuan Yang, Yujun Shen, Yinghao Xu, Deli Zhao, Bo Dai, Bolei Zhou. [doi]
- Entropy-Driven Mixed-Precision Quantization for Deep Network DesignZhenhong Sun, Ce Ge, Junyan Wang, Ming Lin, Hesen Chen, Hao Li 0030, Xiuyu Sun. [doi]
- Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication CompressionXinmeng Huang, Yiming Chen 0003, Wotao Yin, Kun Yuan. [doi]
- Learning on Arbitrary Graph Topologies via Predictive CodingTommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song 0001, Tianyi Bao, Rafal Bogacz, Thomas Lukasiewicz. [doi]
- Data-Efficient Pipeline for Offline Reinforcement Learning with Limited DataAllen Nie, Yannis Flet-Berliac, Deon R. Jordan, William Steenbergen, Emma Brunskill. [doi]
- Biologically plausible solutions for spiking networks with efficient codingVeronika Koren, Stefano Panzeri. [doi]
- Scalable Distributional Robustness in a Class of Non-Convex Optimization with GuaranteesAvinandan Bose, Arunesh Sinha, Tien Mai. [doi]
- Adaptive Sampling for DiscoveryZiping Xu, Eunjae Shim, Ambuj Tewari, Paul M. Zimmerman. [doi]
- Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative AttacksJianan Zhou 0002, Jianing Zhu, Jingfeng Zhang, Tongliang Liu, Gang Niu 0001, Bo Han 0003, Masashi Sugiyama. [doi]
- Is Sortition Both Representative and Fair?Soroush Ebadian, Gregory Kehne, Evi Micha, Ariel D. Procaccia, Nisarg Shah 0001. [doi]
- ULNeF: Untangled Layered Neural Fields for Mix-and-Match Virtual Try-OnIgor Santesteban, Miguel A. Otaduy, Nils Thuerey, Dan Casas. [doi]
- FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear ModulationMehmet Ozgur Turkoglu, Alexander Becker, Hüseyin Anil Gündüz, Mina Rezaei, Bernd Bischl, Rodrigo Caye Daudt, Stefano D'Aronco, Jan D. Wegner, Konrad Schindler. [doi]
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural NetworksXingting Yao, Fanrong Li, Zitao Mo, Jian Cheng 0001. [doi]
- Factored Adaptation for Non-Stationary Reinforcement LearningFan Feng, Biwei Huang, Kun Zhang 0001, Sara Magliacane. [doi]
- Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label PermutationYang Ni. [doi]
- Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective InferenceVo Nguyen Le Duy, Shogo Iwazaki, Ichiro Takeuchi. [doi]
- Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift HypothesisRonan Perry, Julius von Kügelgen, Bernhard Schölkopf. [doi]
- Concrete Score Matching: Generalized Score Matching for Discrete DataChenlin Meng, Kristy Choi, Jiaming Song, Stefano Ermon. [doi]
- Non-rigid Point Cloud Registration with Neural Deformation PyramidYang Li 0143, Tatsuya Harada. [doi]
- Neural AbstractionsAlessandro Abate, Alec Edwards, Mirco Giacobbe. [doi]
- Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence LearningZaiyu Huang, Hanhui Li, Zhenyu Xie, Michael Kampffmeyer, QingLing Cai, Xiaodan Liang. [doi]
- DeepFoids: Adaptive Bio-Inspired Fish Simulation with Deep Reinforcement LearningYuko Ishiwaka, Xiao S. Zeng, Shun Ogawa, Donovan Westwater, Tadayuki Tone, Masaki Nakada. [doi]
- Nonlinear MCMC for Bayesian Machine LearningJames Vuckovic. [doi]
- Learning to Re-weight Examples with Optimal Transport for Imbalanced ClassificationDandan Guo, Zhuo Li, Meixi Zheng, He Zhao, Mingyuan Zhou, Hongyuan Zha. [doi]
- Off-Policy Evaluation for Action-Dependent Non-stationary EnvironmentsYash Chandak, Shiv Shankar, Nathaniel D. Bastian, Bruno C. da Silva 0001, Emma Brunskill, Philip S. Thomas. [doi]
- SwinTrack: A Simple and Strong Baseline for Transformer TrackingLiting Lin, Heng Fan 0001, Zhipeng Zhang, Yong Xu 0007, Haibin Ling. [doi]
- Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated FunctionsSaeed Masiha, Saber Salehkaleybar, Niao He, Negar Kiyavash, Patrick Thiran. [doi]
- Generalized Delayed Feedback Model with Post-Click Information in Recommender SystemsJia-Qi Yang 0001, De-Chuan Zhan. [doi]
- Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary OutliersSaikiran Bulusu, Geethu Joseph, Mustafa Cenk Gursoy, Pramod K. Varshney. [doi]
- Cryptographic Hardness of Learning Halfspaces with Massart NoiseIlias Diakonikolas, Daniel Kane, Pasin Manurangsi, Lisheng Ren. [doi]
- Neural Attentive CircuitsMartin Weiss, Nasim Rahaman, Francesco Locatello, Chris Pal, Yoshua Bengio, Bernhard Schölkopf, Li Erran Li, Nicolas Ballas. [doi]
- FACT: Learning Governing Abstractions Behind Integer SequencesPeter Belcak, Ard Kastrati, Flavio Schenker, Roger Wattenhofer. [doi]
- Category-Level 6D Object Pose Estimation in the Wild: A Semi-Supervised Learning Approach and A New DatasetYanjie Ze, Xiaolong Wang 0004. [doi]
- Robust Neural Posterior Estimation and Statistical Model CriticismDaniel Ward, Patrick Cannon, Mark Beaumont, Matteo Fasiolo, Sebastian M. Schmon. [doi]
- Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and DenoisingJon Hasselgren, Nikolai Hofmann, Jacob Munkberg. [doi]
- Unsupervised Multi-Object Segmentation by Predicting Probable Motion PatternsLaurynas Karazija, Subhabrata Choudhury, Iro Laina, Christian Rupprecht 0001, Andrea Vedaldi. [doi]
- Recommender Forest for Efficient RetrievalChao Feng, Wuchao Li, Defu Lian, Zheng Liu, Enhong Chen. [doi]
- Optimal Rates for Regularized Conditional Mean Embedding LearningZhu Li, Dimitri Meunier, Mattes Mollenhauer, Arthur Gretton. [doi]
- Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIPThao Nguyen, Gabriel Ilharco, Mitchell Wortsman, Sewoong Oh, Ludwig Schmidt. [doi]
- Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuningYanpeng Sun, Qiang Chen, Xiangyu He, Jian Wang 0066, Haocheng Feng, Junyu Han, Errui Ding, Jian Cheng 0001, Zechao Li, Jingdong Wang 0001. [doi]
- On Batch Teaching with Sample Complexity Bounded by VCDFarnam Mansouri, Hans Simon, Adish Singla, Sandra Zilles. [doi]
- Look Around and Refer: 2D Synthetic Semantics Knowledge Distillation for 3D Visual GroundingEslam Mohamed Bakr, Yasmeen Alsaedy, Mohamed Elhoseiny. [doi]
- Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule DesignJörg K. H. Franke, Frederic Runge, Frank Hutter. [doi]
- StrokeRehab: A Benchmark Dataset for Sub-second Action IdentificationAakash Kaku, Kangning Liu, Avinash Parnandi 0001, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda. [doi]
- PKD: General Distillation Framework for Object Detectors via Pearson Correlation CoefficientWeihan Cao, Yifan Zhang, Jianfei Gao 0003, Anda Cheng, Ke Cheng, Jian Cheng. [doi]
- Latent Hierarchical Causal Structure Discovery with Rank ConstraintsBiwei Huang, Charles Jia Han Low, Feng Xie 0002, Clark Glymour, Kun Zhang 0001. [doi]
- 4D Unsupervised Object DiscoveryYuqi Wang, YunTao Chen, Zhao-Xiang Zhang. [doi]
- Multi-view Subspace Clustering on Topological ManifoldShudong Huang, Hongjie Wu, Yazhou Ren 0001, Ivor Tsang, Zenglin Xu, Wentao Feng, Jiancheng Lv. [doi]
- Could Giant Pre-trained Image Models Extract Universal Representations?Yutong Lin, Ze Liu, Zheng Zhang 0022, Han Hu 0004, Nanning Zheng 0001, Stephen Lin 0001, Yue Cao 0001. [doi]
- Masked Prediction: A Parameter Identifiability ViewBingbin Liu, Daniel J. Hsu, Pradeep Ravikumar, Andrej Risteski. [doi]
- Approximate Value EquivalenceChristopher Grimm, André Barreto 0001, Satinder Singh. [doi]
- Locally Hierarchical Auto-Regressive Modeling for Image GenerationTackgeun You, Saehoon Kim, Chiheon Kim, Doyup Lee, Bohyung Han. [doi]
- Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation ApproachPeng Mi, Li Shen 0008, Tianhe Ren, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji, Dacheng Tao. [doi]
- EgoTaskQA: Understanding Human Tasks in Egocentric VideosBaoxiong Jia, Ting Lei, Song Chun Zhu, Siyuan Huang. [doi]
- Beyond the Best: Distribution Functional Estimation in Infinite-Armed BanditsYifei Wang, Tavor Z. Baharav, Yanjun Han, Jiantao Jiao, David Tse. [doi]
- Understanding the Evolution of Linear Regions in Deep Reinforcement LearningSetareh Cohan, Nam-Hee Kim, David Rolnick, Michiel van de Panne. [doi]
- Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal DatasetPeter Henderson 0002, Mark S. Krass, Lucia Zheng, Neel Guha, Christopher D. Manning, Dan Jurafsky, Daniel E. Ho. [doi]
- Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box EmbeddingsDongxu Zhang, Michael Boratko, Cameron Musco, Andrew McCallum. [doi]
- Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAEAlireza Nasiri, Tristan Bepler. [doi]
- Robust Model Selection and Nearly-Proper Learning for GMMsAllen Liu, Jerry Li 0001, Ankur Moitra. [doi]