Table of Contents

• 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]