Table of Contents

• Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language ModelZirui Liu, Guanchu Wang, Shaochen (Henry) Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang (Ryan) Tang, Zhimeng Stephen Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Hu. [doi]
• IPMix: Label-Preserving Data Augmentation Method for Training Robust ClassifiersZhenglin Huang, Xiaoan Bao, Na Zhang, Qingqi Zhang, Xiao Tu, Biao Wu, Xi Yang. [doi]
• Disentangled Wasserstein Autoencoder for T-Cell Receptor EngineeringTianxiao Li, Hongyu Guo, Filippo Grazioli, Mark Gerstein, Martin Renqiang Min. [doi]
• GeoTMI: Predicting Quantum Chemical Property with Easy-to-Obtain Geometry via Positional DenoisingHyeonsu Kim, Jeheon Woo, Seonghwan Kim 0004, Seokhyun Moon, Jun Hyeong Kim, Woo-Youn Kim. [doi]
• ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in SegmentationZhitong Gao, Shipeng Yan, Xuming He 0001. [doi]
• A State Representation for Diminishing RewardsTed Moskovitz, Samo Hromadka, Ahmed Touati, Diana Borsa, Maneesh Sahani. [doi]
• Test-time Adaptation of Discriminative Models via Diffusion Generative FeedbackMihir Prabhudesai, Tsung-Wei Ke, Alexander C. Li, Deepak Pathak, Katerina Fragkiadaki. [doi]
• On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A Gradient-Norm PerspectiveZeke Xie, Zhiqiang Xu, Jingzhao Zhang, Issei Sato, Masashi Sugiyama. [doi]
• Enhancing User Intent Capture in Session-Based Recommendation with Attribute PatternsXin Liu, Zheng Li, YiFan Gao, Jingfeng Yang, Tianyu Cao 0001, Zhengyang Wang, Bing Yin, Yangqiu Song. [doi]
• SPACE: Single-round Participant Amalgamation for Contribution Evaluation in Federated LearningYi-Chung Chen, Hsi-Wen Chen, Shun-Gui Wang, Ming-Syan Chen. [doi]
• Maximum Average Randomly Sampled: A Scale Free and Non-parametric Algorithm for Stochastic BanditsMasoud Moravej Khorasani, Erik Weyer. [doi]
• Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty EstimationMyong Chol Jung, He Zhao 0001, Joanna Dipnall, Lan Du 0002. [doi]
• Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic SmoothingZiyan Wang, Hao Wang 0014. [doi]
• Unleashing the Power of Graph Data Augmentation on Covariate Distribution ShiftYongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, Xiangnan He 0001. [doi]
• Mutual-Information Regularized Multi-Agent Policy IterationJiangxing Wang, Deheng Ye, Zongqing Lu. [doi]
• From Discrete Tokens to High-Fidelity Audio Using Multi-Band DiffusionRobin San Roman, Yossi Adi, Antoine Deleforge, Romain Serizel, Gabriel Synnaeve, Alexandre Défossez. [doi]
• Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural NetworksAndong Wang, Chao Li, Mingyuan Bai, Zhong Jin, GuoXu Zhou, Qibin Zhao. [doi]
• Improving Robustness with Adaptive Weight DecayAmin Ghiasi, Ali Shafahi, Reza Ardekani. [doi]
• Probabilistic Exponential IntegratorsNathanael Bosch, Philipp Hennig, Filip Tronarp. [doi]
• Scaling MLPs: A Tale of Inductive BiasGregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann. [doi]
• Data-Centric Learning from Unlabeled Graphs with Diffusion ModelGang Liu, Eric Inae, Tong Zhao 0003, Jiaxin Xu, Tengfei Luo, Meng Jiang. [doi]
• Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-TuningMitsuhiko Nakamoto, Simon Zhai, Anikait Singh, Max Sobol Mark, Yi Ma 0001, Chelsea Finn, Aviral Kumar, Sergey Levine. [doi]
• RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path TracingAntoine Scardigli, Lukas Cavigelli, Lorenz K. Müller. [doi]
• MIMEx: Intrinsic Rewards from Masked Input ModelingToru Lin, Allan Jabri. [doi]
• Streaming PCA for Markovian DataSyamantak Kumar, Purnamrita Sarkar. [doi]
• Sorting with PredictionsXingjian Bai, Christian Coester. [doi]
• Maximization of Average Precision for Deep Learning with Adversarial Ranking RobustnessGang Li, Wei Tong, Tianbao Yang. [doi]
• Practical Contextual Bandits with Feedback GraphsMengxiao Zhang, Yuheng Zhang, Olga Vrousgou, Haipeng Luo, Paul Mineiro. [doi]
• Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement LearningShenzhi Wang, Qisen Yang, Jiawei Gao 0004, Matthieu Gaetan Lin, Hao Chen, Liwei Wu, Ning Jia, Shiji Song, Gao Huang. [doi]
• RECKONING: Reasoning through Dynamic Knowledge EncodingZeming Chen, Gail Weiss, Eric Mitchell, Asli Celikyilmaz, Antoine Bosselut. [doi]
• Into the LAION's Den: Investigating Hate in Multimodal DatasetsAbeba Birhane, Vinay Uday Prabhu, Sanghyun Han, Vishnu Boddeti, Sasha Luccioni. [doi]
• One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge DistillationZhiwei Hao, Jianyuan Guo, Kai Han 0002, Yehui Tang, Han Hu, Yunhe Wang 0001, Chang Xu. [doi]
• Bandit Social Learning under Myopic BehaviorKiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin, Aleksandrs Slivkins. [doi]
• Effectively Learning Initiation Sets in Hierarchical Reinforcement LearningAkhil Bagaria, Ben Abbatematteo, Omer Gottesman, Matt Corsaro, Sreehari Rammohan, George Dimitri Konidaris. [doi]
• Multi-task learning with summary statisticsParker Knight, Rui Duan. [doi]
• Large Language Models as Commonsense Knowledge for Large-Scale Task PlanningZirui Zhao, Wee Sun Lee, David Hsu. [doi]
• GenS: Generalizable Neural Surface Reconstruction from Multi-View ImagesRui Peng, Xiaodong Gu, Luyang Tang, Shihe Shen, Fanqi Yu, Ronggang Wang. [doi]
• End-to-End Meta-Bayesian Optimisation with Transformer Neural ProcessesAlexandre Maraval, Matthieu Zimmer, Antoine Grosnit, Haitham Bou-Ammar. [doi]
• Decompose Novel into Known: Part Concept Learning For 3D Novel Class DiscoveryTingyu Weng, Jun Xiao 0005, Haiyong Jiang. [doi]
• Zeroth-Order Methods for Nondifferentiable, Nonconvex, and Hierarchical Federated OptimizationYuyang Qiu, Uday V. Shanbhag, Farzad Yousefian. [doi]
• Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient DescentKruno Lehman, Alain Durmus, Umut Simsekli. [doi]
• Instructing Goal-Conditioned Reinforcement Learning Agents with Temporal Logic ObjectivesWenjie Qiu 0002, Wensen Mao, He Zhu 0001. [doi]
• Monitor-Guided Decoding of Code LMs with Static Analysis of Repository ContextLakshya A Agrawal, Aditya Kanade, Navin Goyal, Shuvendu K. Lahiri, Sriram K. Rajamani. [doi]
• ExPT: Synthetic Pretraining for Few-Shot Experimental DesignTung Nguyen, Sudhanshu Agrawal, Aditya Grover. [doi]
• Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous ControlNate Rahn, Pierluca D'Oro, Harley Wiltzer, Pierre-Luc Bacon, Marc G. Bellemare. [doi]
• Responsible AI (RAI) Games and EnsemblesYash Gupta, Runtian Zhai, Arun Sai Suggala, Pradeep Ravikumar. [doi]
• On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language ModelsYuFan Cai, Yun Lin, Chenyan Liu, Jinglian Wu, Yifan Zhang, Yiming Liu, Yeyun Gong, Jin Song Dong. [doi]
• DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation ModelXiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, David A. Ross. [doi]
• No-Regret Online Prediction with Strategic ExpertsOmid Sadeghi, Maryam Fazel. [doi]
• TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and PromotionPreetha Vijayan, Prashant Shivaram Bhat, Bahram Zonooz, Elahe Arani. [doi]
• A Randomized Approach to Tight Privacy AccountingJiachen T. Wang, Saeed Mahloujifar, Tong Wu, Ruoxi Jia, Prateek Mittal. [doi]
• Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail RiskDavid Simchi-Levi, Zeyu Zheng, Feng Zhu. [doi]
• Optimal approximation using complex-valued neural networksPaul Geuchen, Felix Voigtländer. [doi]
• SQ Lower Bounds for Learning Mixtures of Linear ClassifiersIlias Diakonikolas, Daniel Kane, Yuxin Sun. [doi]
• Does progress on ImageNet transfer to real-world datasets?Alex Fang, Simon Kornblith, Ludwig Schmidt. [doi]
• On the Pareto Front of Multilingual Neural Machine TranslationLiang Chen, Shuming Ma, DongDong Zhang, Furu Wei, Baobao Chang. [doi]
• Follow-ups Also Matter: Improving Contextual Bandits via Post-serving ContextsChaoqi Wang, Ziyu Ye, Zhe Feng 0004, Ashwinkumar Badanidiyuru Varadaraja, Haifeng Xu. [doi]
• Towards Automated Circuit Discovery for Mechanistic InterpretabilityArthur Conmy, Augustine N. Mavor-Parker, Aengus Lynch, Stefan Heimersheim, Adrià Garriga-Alonso. [doi]
• Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained DevicesKilian Pfeiffer, Ramin Khalili, Jörg Henkel. [doi]
• On Calibrating Diffusion Probabilistic ModelsTianyu Pang, Cheng Lu, Chao Du, Min Lin, Shuicheng Yan, Zhijie Deng. [doi]
• Beyond MLE: Convex Learning for Text GenerationChenze Shao, Zhengrui Ma, Min Zhang, Yang Feng. [doi]
• RegBN: Batch Normalization of Multimodal Data with RegularizationMorteza Ghahremani, Christian Wachinger. [doi]
• On the Convergence of Black-Box Variational InferenceKyurae Kim, Jisu Oh, Kaiwen Wu, Yian Ma, Jacob R. Gardner. [doi]
• Resilient Constrained LearningIgnacio Hounie, Alejandro Ribeiro, Luiz F. O. Chamon. [doi]
• Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed NoiseTa Duy Nguyen, Thien Hang Nguyen, Alina Ene, Huy Nguyen. [doi]
• Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary DataAlon Albalak, Colin A. Raffel, William Yang Wang. [doi]
• Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous DataSai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy 0001. [doi]
• Offline Reinforcement Learning for Mixture-of-Expert Dialogue ManagementDhawal Gupta, Yinlam Chow, Azamat Tulepbergenov, Mohammad Ghavamzadeh, Craig Boutilier. [doi]
• Reflexion: language agents with verbal reinforcement learningNoah Shinn, Federico Cassano, Ashwin Gopinath, Karthik Narasimhan, Shunyu Yao. [doi]
• Vocabulary-free Image ClassificationAlessandro Conti, Enrico Fini, Massimiliano Mancini, Paolo Rota, Yiming Wang, Elisa Ricci 0001. [doi]
• Sharpness Minimization Algorithms Do Not Only Minimize Sharpness To Achieve Better GeneralizationKaiyue Wen, Zhiyuan Li 0005, Tengyu Ma 0001. [doi]
• Characterization and Learning of Causal Graphs with Small Conditioning SetsMurat Kocaoglu. [doi]
• p-Poisson surface reconstruction in curl-free flow from point cloudsYesom Park, Taekyung Lee, Jooyoung Hahn, Myungjoo Kang. [doi]
• Puzzlefusion: Unleashing the Power of Diffusion Models for Spatial Puzzle SolvingSepidehsadat (Sepid) Hossieni, Mohammad Amin Shabani, Saghar Irandoust, Yasutaka Furukawa. [doi]
• CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model SocietyGuohao Li, Hasan Hammoud, Hani Itani, Dmitrii Khizbullin, Bernard Ghanem. [doi]
• Context Shift Reduction for Offline Meta-Reinforcement LearningYunkai Gao, Rui Zhang, Jiaming Guo, Fan Wu, Qi Yi, Shaohui Peng, Siming Lan, Ruizhi Chen, Zidong Du, Xing Hu, Qi Guo, Ling Li, Yunji Chen. [doi]
• Disambiguated Attention Embedding for Multi-Instance Partial-Label LearningWei Tang, Weijia Zhang 0001, Min-Ling Zhang. [doi]
• High dimensional, tabular deep learning with an auxiliary knowledge graphCamilo Ruiz, Hongyu Ren, Kexin Huang, Jure Leskovec. [doi]
• Inferring the Future by Imagining the PastKartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Josh Tenenbaum 0001. [doi]
• Entropy-based Training Methods for Scalable Neural Implicit SamplersWeijian Luo, Boya Zhang, Zhihua Zhang. [doi]
• Fine-Grained Theoretical Analysis of Federated Zeroth-Order OptimizationJun Chen, Hong Chen 0004, Bin Gu 0001, Hao Deng. [doi]
• Conditional Adapters: Parameter-efficient Transfer Learning with Fast InferenceTao Lei, Junwen Bai, Siddhartha Brahma, Joshua Ainslie, Kenton Lee, Yanqi Zhou, Nan Du 0002, Vincent Y. Zhao, Yuexin Wu, Bo Li, Yu Zhang, Ming-Wei Chang. [doi]
• An Improved Relaxation for Oracle-Efficient Adversarial Contextual BanditsKiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin, Max Springer. [doi]
• When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node DistinguishabilitySitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup. [doi]
• Nash Regret Guarantees for Linear BanditsAyush Sawarni, Soumyabrata Pal, Siddharth Barman. [doi]
• Finding Safe Zones of Markov Decision Processes PoliciesLee Cohen 0001, Yishay Mansour, Michal Moshkovitz. [doi]
• Cola: A Benchmark for Compositional Text-to-image RetrievalArijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan A. Plummer, Ranjay Krishna, Kate Saenko. [doi]
• Scale Alone Does not Improve Mechanistic Interpretability in Vision ModelsRoland S. Zimmermann, Thomas Klein, Wieland Brendel. [doi]
• Convergence of Adam Under Relaxed AssumptionsHaochuan Li, Alexander Rakhlin, Ali Jadbabaie. [doi]
• FaceComposer: A Unified Model for Versatile Facial Content CreationJiayu Wang, Kang Zhao, Yifeng Ma, Shiwei Zhang, Yingya Zhang, Yujun Shen, Deli Zhao, Jingren Zhou. [doi]
• A Theory of Multimodal LearningZhou Lu. [doi]
• Efficient Neural Music GenerationMax W. Y. Lam, Qiao Tian, Tang Li 0001, Zongyu Yin, Siyuan Feng, Ming Tu, Yuliang Ji, Rui Xia, Mingbo Ma, Xuchen Song, Jitong Chen, Yuping Wang, Yuxuan Wang 0002. [doi]
• Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement LearningChangyu Chen, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha, Pradeep Varakantham. [doi]
• Natural Language Instruction-following with Task-related Language Development and TranslationJing-Cheng Pang, Xinyu Yang, Si-Hang Yang, Xiong-Hui Chen, Yang Yu 0001. [doi]
• Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion modelsGeorge Stein, Jesse C. Cresswell, Rasa Hosseinzadeh, Yi Sui, Brendan Leigh Ross, Valentin Villecroze, Zhaoyan Liu, Anthony L. Caterini, J. Eric T. Taylor, Gabriel Loaiza-Ganem. [doi]
• Optimize Planning Heuristics to Rank, not to Estimate Cost-to-GoalLeah Chrestien, Stefan Edelkamp, Antonín Komenda, Tomás Pevný. [doi]
• Star-Shaped Denoising Diffusion Probabilistic ModelsAndrey Okhotin, Dmitry Molchanov, Vladimir Arkhipkin, Grigory Bartosh, Viktor Ohanesian, Aibek Alanov, Dmitry P. Vetrov. [doi]
• Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement LearningStephen McAleer, Gabriele Farina, Gaoyue Zhou, Mingzhi Wang, Yaodong Yang 0001, Tuomas Sandholm. [doi]
• Adaptive Contextual Perception: How To Generalize To New Backgrounds and Ambiguous ObjectsZhuofan Ying, Peter Hase, Mohit Bansal. [doi]
• Recommender Systems with Generative RetrievalShashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan Hulikal Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q. Tran 0002, Jonah Samost, Maciej Kula, Ed H. Chi, Mahesh Sathiamoorthy. [doi]
• A Definition of Continual Reinforcement LearningDavid Abel, André Barreto 0001, Benjamin Van Roy, Doina Precup, Hado Philip van Hasselt, Satinder Singh. [doi]
• Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting PowerJunru Zhou, Jiarui Feng, Xiyuan Wang, Muhan Zhang. [doi]
• Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-EncoderHuiwon Jang, Jihoon Tack, Daewon Choi, Jongheon Jeong, Jinwoo Shin. [doi]
• Structure Learning with Adaptive Random Neighborhood Informed MCMCXitong Liang, Alberto Caron, Samuel Livingstone, Jim E. Griffin. [doi]
• Adaptive whitening with fast gain modulation and slow synaptic plasticityLyndon R. Duong, Eero P. Simoncelli, Dmitri B. Chklovskii, David Lipshutz. [doi]
• A Bayesian Approach To Analysing Training Data Attribution In Deep LearningElisa Nguyen, Minjoon Seo, Seong Joon Oh. [doi]
• Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask?Hoang Pham, The-Anh Ta, Shiwei Liu, Lichuan Xiang, Dung Le, Hongkai Wen 0001, Long Tran-Thanh. [doi]
• Semi-Supervised Domain Generalization with Known and Unknown ClassesLei Zhang, Ji-Fu Li, Wei Wang. [doi]
• SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement LearningDohyeok Lee, Seungyub Han, Taehyun Cho, Jungwoo Lee 0001. [doi]
• Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer QuantizationJeonghoon Kim, Jung-Hyun Lee, Sungdong Kim, Joonsuk Park, Kang Min Yoo, Se Jung Kwon, Dongsoo Lee. [doi]
• Should Under-parameterized Student Networks Copy or Average Teacher Weights?Berfin Simsek, Amire Bendjeddou, Wulfram Gerstner, Johanni Brea. [doi]
• Unsupervised Image Denoising with Score FunctionYutong Xie, Mingze Yuan, Bin Dong, Quanzheng Li. [doi]
• Topology-Aware Uncertainty for Image SegmentationSaumya Gupta, Yikai Zhang, Xiaoling Hu 0002, Prateek Prasanna, Chao Chen 0012. [doi]
• Nearly Optimal Bounds for Cyclic ForgettingWilliam Swartworth, Deanna Needell, Rachel A. Ward, Mark Kong, Halyun Jeong. [doi]
• DVSOD: RGB-D Video Salient Object DetectionJingjing Li, Wei Ji, Size Wang, Wenbo Li, Li Cheng 0001. [doi]
• Dynamic Tensor Decomposition via Neural Diffusion-Reaction ProcessesZheng Wang, Shikai Fang, Shibo Li, Shandian Zhe. [doi]
• Learning with Explanation ConstraintsRattana Pukdee, Dylan Sam, J. Zico Kolter, Maria-Florina Balcan, Pradeep Ravikumar. [doi]
• Adaptive Algorithms for Relaxed Pareto Set IdentificationCyrille Kone, Emilie Kaufmann, Laura Richert. [doi]
• BERT Lost Patience Won't Be Robust to Adversarial SlowdownZachary Coalson, Gabriel Ritter, Rakesh Bobba, Sanghyun Hong 0001. [doi]
• Training Neural Networks is NP-Hard in Fixed DimensionVincent Froese, Christoph Hertrich. [doi]
• Concept Algebra for (Score-Based) Text-Controlled Generative ModelsZihao Wang, Lin Gui, Jeffrey Negrea, Victor Veitch. [doi]
• Clifford Group Equivariant Neural NetworksDavid Ruhe, Johannes Brandstetter, Patrick Forré. [doi]
• State-Action Similarity-Based Representations for Off-Policy EvaluationBrahma S. Pavse, Josiah Hanna. [doi]
• SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic UnderstandingPaul-Edouard Sarlin, Eduard Trulls, Marc Pollefeys, Jan Hosang, Simon Lynen. [doi]
• Projection-Free Methods for Solving Nonconvex-Concave Saddle Point ProblemsMorteza Boroun, Erfan Yazdandoost Hamedani, Afrooz Jalilzadeh. [doi]
• Computational Complexity of Learning Neural Networks: Smoothness and DegeneracyAmit Daniely, Nati Srebro, Gal Vardi. [doi]
• Gaussian Membership Inference PrivacyTobias Leemann, Martin Pawelczyk, Gjergji Kasneci. [doi]
• On the Powerfulness of Textual Outlier Exposure for Visual OoD DetectionSangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon. [doi]
• A Deep Instance Generative Framework for MILP Solvers Under Limited Data AvailabilityZijie Geng, Xijun Li, Jie Wang, Xiao Li, Yongdong Zhang 0001, Feng Wu 0001. [doi]
• Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-DimensionsKai Tan, Pierre C. Bellec. [doi]
• Factorized Contrastive Learning: Going Beyond Multi-view RedundancyPaul Pu Liang, Zihao Deng, Martin Q. Ma, James Y. Zou, Louis-Philippe Morency, Ruslan Salakhutdinov. [doi]
• Learning List-Level Domain-Invariant Representations for RankingRuicheng Xian, Honglei Zhuang, Zhen Qin 0001, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui 0001, Han Zhao 0002, Xuanhui Wang, Michael Bendersky. [doi]
• Learning to Reason and Memorize with Self-NotesJack Lanchantin, Shubham Toshniwal, Jason Weston, Arthur Szlam, Sainbayar Sukhbaatar. [doi]
• SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything ModelDi Wang 0023, Jing Zhang, Bo Du 0001, Minqiang Xu, Lin Liu, Dacheng Tao, Liangpei Zhang 0001. [doi]
• Learning Probabilistic Symmetrization for Architecture Agnostic EquivarianceJinwoo Kim, Dat Nguyen, Ayhan Suleymanzade, Hyeokjun An, Seunghoon Hong. [doi]
• Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity ModelingHaotao Wang, Ziyu Jiang, Yuning You, Yan Han, Gaowen Liu, Jayanth Srinivasa, Ramana Kompella, Zhangyang Wang. [doi]
• H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language ModelsZhenyu Zhang, Ying Sheng 0007, Tianyi Zhou 0001, Tianlong Chen, Lianmin Zheng, Ruisi Cai, Zhao Song 0002, Yuandong Tian, Christopher Ré, Clark W. Barrett, Zhangyang Wang, Beidi Chen. [doi]
• Foundation Model is Efficient Multimodal Multitask Model SelectorFanqing Meng, Wenqi Shao, Zhanglin Peng, Chonghe Jiang, Kaipeng Zhang, Yu Qiao, Ping Luo. [doi]
• Utilitarian Algorithm ConfigurationDevon R. Graham, Kevin Leyton-Brown, Tim Roughgarden. [doi]
• Species196: A One-Million Semi-supervised Dataset for Fine-grained Species RecognitionWei He, Kai Han 0002, Ying Nie, Chengcheng Wang, Yunhe Wang 0001. [doi]
• RETVec: Resilient and Efficient Text VectorizerElie Bursztein, Marina Zhang, Owen Vallis, Xinyu Jia, Alexey Kurakin. [doi]
• 1-based Dictionary Learning via Matrix Volume OptimizationJingzhou Hu, Kejun Huang. [doi]
• Exploiting hidden structures in non-convex games for convergence to Nash equilibriumIosif Sakos, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos, Georgios Piliouras. [doi]
• Stability Guarantees for Feature Attributions with Multiplicative SmoothingAnton Xue, Rajeev Alur, Eric Wong 0001. [doi]
• May the Force be with You: Unified Force-Centric Pre-Training for 3D Molecular ConformationsRui Feng, Qi Zhu, Huan Tran, Binghong Chen, Aubrey Toland, Rampi Ramprasad, Chao Zhang. [doi]
• Towards Stable Backdoor Purification through Feature Shift TuningRui Min, Zeyu Qin, Li Shen 0008, Minhao Cheng. [doi]
• For SALE: State-Action Representation Learning for Deep Reinforcement LearningScott Fujimoto, Wei-Di Chang, Edward J. Smith, Shixiang Gu, Doina Precup, David Meger. [doi]
• Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable DataSiyuan Guo, Viktor Tóth, Bernhard Schölkopf, Ferenc Huszar. [doi]
• Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation FrameworkWeiduo Liao, Ying Wei, Mingchen Jiang, Qingfu Zhang 0001, Hisao Ishibuchi. [doi]
• Complementary Benefits of Contrastive Learning and Self-Training Under Distribution ShiftSaurabh Garg, Amrith Setlur, Zachary C. Lipton, Sivaraman Balakrishnan, Virginia Smith, Aditi Raghunathan. [doi]
• Addressing the speed-accuracy simulation trade-off for adaptive spiking neuronsLuke Taylor, Andrew King, Nicol S. Harper. [doi]
• Joint Attribute and Model Generalization Learning for Privacy-Preserving Action RecognitionDuo Peng, Li Xu, Qiuhong Ke, Ping Hu, Jun Liu. [doi]
• TRIAGE: Characterizing and auditing training data for improved regressionNabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar. [doi]
• Improvements on Uncertainty Quantification for Node Classification via Distance Based RegularizationRussell Hart, Linlin Yu, Yifei Lou, Feng Chen. [doi]
• Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography EstimatorXiaolong Wang 0013, Runsen Xu, Zhuofan Cui, Zeyu Wan, Yu Zhang 0018. [doi]
• PLANNER: Generating Diversified Paragraph via Latent Language Diffusion ModelYizhe Zhang 0002, Jiatao Gu, Zhuofeng Wu 0001, Shuangfei Zhai, Joshua M. Susskind, Navdeep Jaitly. [doi]
• Blurred-Dilated Method for Adversarial AttacksYang Deng, Weibin Wu 0002, Jianping Zhang, Zibin Zheng. [doi]
• Learning Reliable Logical Rules with SATNetZhaoyu Li, Jinpei Guo, Yuhe Jiang, Xujie Si. [doi]
• A Single 2D Pose with Context is Worth Hundreds for 3D Human Pose EstimationQitao Zhao, Ce Zheng, Mengyuan Liu, Chen Chen 0015. [doi]
• Wasserstein Gradient Flows for Optimizing Gaussian Mixture PoliciesHanna Ziesche, Leonel Rozo. [doi]
• Noise-Adaptive Thompson Sampling for Linear Contextual BanditsRuitu Xu, Yifei Min, Tianhao Wang 0002. [doi]
• Time-uniform confidence bands for the CDF under nonstationarityPaul Mineiro, Steven R. Howard. [doi]
• Nonparametric Boundary Geometry in Physics Informed Deep LearningScott Alexander Cameron, Arnu Pretorius, Stephen J. Roberts. [doi]
• DropPos: Pre-Training Vision Transformers by Reconstructing Dropped PositionsHaochen Wang, Junsong Fan, Yuxi Wang, Kaiyou Song, Tong Wang, Zhao-Xiang Zhang. [doi]
• HiBug: On Human-Interpretable Model DebugMuxi Chen, Yu Li, Qiang Xu. [doi]
• Opening the Vocabulary of Egocentric ActionsDibyadip Chatterjee, Fadime Sener, Shugao Ma, Angela Yao. [doi]
• Continuous-time Analysis of Anchor AccelerationJaewook J. Suh, Jisun Park, Ernest K. Ryu. [doi]
• The Quantization Model of Neural ScalingEric J. Michaud, Ziming Liu, Uzay Girit, Max Tegmark. [doi]
• Distributional Policy Evaluation: a Maximum Entropy approach to Representation LearningRiccardo Zamboni, Alberto Maria Metelli, Marcello Restelli. [doi]
• Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware PoliciesMichael Beukman, Devon Jarvis, Richard Klein, Steven James, Benjamin Rosman. [doi]
• Pseudo-Likelihood InferenceTheo Gruner, Boris Belousov, Fabio Muratore, Daniel Palenicek, Jan R. Peters. [doi]
• SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility AnalysisYuanshao Zhu, Yongchao Ye, Ying Wu, Xiangyu Zhao, James Jian Qiao Yu. [doi]
• Binarized Spectral Compressive ImagingYuanhao Cai, Yuxin Zheng, Jing Lin, Xin Yuan, Yulun Zhang, Haoqian Wang. [doi]
• Towards Characterizing the First-order Query Complexity of Learning (Approximate) Nash Equilibria in Zero-sum Matrix GamesHédi Hadiji, Sarah Sachs, Tim van Erven, Wouter M. Koolen. [doi]
• OpenDataVal: a Unified Benchmark for Data ValuationKevin Fu Jiang, Weixin Liang, James Y. Zou, Yongchan Kwon. [doi]
• Learning Regularized Monotone Graphon Mean-Field GamesFengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang 0001, Zhuoran Yang. [doi]
• Zero-Shot Anomaly Detection via Batch NormalizationAodong Li, Chen Qiu, Marius Kloft, Padhraic Smyth, Maja Rudolph, Stephan Mandt. [doi]
• From ViT Features to Training-free Video Object Segmentation via Streaming-data Mixture ModelsRoy Uziel, Or Dinari, Oren Freifeld. [doi]
• Contrastive Moments: Unsupervised Halfspace Learning in Polynomial TimeXinyuan Cao, Santosh S. Vempala. [doi]
• Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule GenerationYuxuan Song, Jingjing Gong, Minkai Xu, Ziyao Cao, Yanyan Lan, Stefano Ermon, Hao Zhou, Wei-Ying Ma. [doi]
• Sub-optimality of the Naive Mean Field approximation for proportional high-dimensional Linear RegressionJiaze Qiu. [doi]
• Lightweight Vision Transformer with Bidirectional InteractionQihang Fan, Huaibo Huang, Xiaoqiang Zhou, Ran He 0001. [doi]
• Text-to-Image Diffusion Models are Zero Shot ClassifiersKevin Clark, Priyank Jaini. [doi]
• A polar prediction model for learning to represent visual transformationsPierre-Étienne H. Fiquet, Eero P. Simoncelli. [doi]
• Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM AnimatorHanzhuo Huang, Yufan Feng, Cheng Shi, Lan Xu, Jingyi Yu, Sibei Yang. [doi]
• DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech TranslationQingkai Fang, Yan Zhou, Yang Feng 0004. [doi]
• Core-sets for Fair and Diverse Data SummarizationSepideh Mahabadi, Stojan Trajanovski. [doi]
• On the Convergence to a Global Solution of Shuffling-Type Gradient AlgorithmsLam M. Nguyen, Trang H. Tran. [doi]
• Learning from Visual Observation via Offline Pretrained State-to-Go TransformerBohan Zhou, Ke Li, Jiechuan Jiang, Zongqing Lu. [doi]
• Replicable ClusteringHossein Esfandiari, Amin Karbasi, Vahab Mirrokni, Grigoris Velegkas, Felix Zhou 0002. [doi]
• Synthetic-to-Real Pose Estimation with Geometric ReconstructionQiuxia Lin, Kerui Gu, Linlin Yang, Angela Yao. [doi]
• Deductive Verification of Chain-of-Thought ReasoningZhan Ling, Yunhao Fang, Xuanlin Li, Zhiao Huang, Mingu Lee, Roland Memisevic, Hao Su. [doi]
• A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance EstimationThomas Fel, Victor Boutin, Louis Béthune, Rémi Cadène, Mazda Moayeri, Léo Andéol, Mathieu Chalvidal, Thomas Serre. [doi]
• MomentDiff: Generative Video Moment Retrieval from Random to RealPandeng Li, Chen-Wei Xie, Hongtao Xie, Liming Zhao, Lei Zhang, Yun Zheng, Deli Zhao, Yongdong Zhang 0001. [doi]
• Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement LearningAhmadreza Moradipari, Mohammad Pedramfar, Modjtaba Shokrian Zini, Vaneet Aggarwal. [doi]
• Enhancing Adversarial Robustness via Score-Based OptimizationBoya Zhang, Weijian Luo, Zhihua Zhang. [doi]
• Towards In-context Scene UnderstandingIvana Balazevic, David Steiner 0004, Nikhil Parthasarathy, Relja Arandjelovic, Olivier J. Hénaff. [doi]
• Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term DependenciesWei Fang, Zhaofei Yu, Zhaokun Zhou, Ding Chen, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, YongHong Tian. [doi]
• Generative Neural Fields by Mixtures of Neural Implicit FunctionsTackgeun You, Mijeong Kim 0002, Jungtaek Kim 0001, Bohyung Han. [doi]
• Cognitive Steering in Deep Neural Networks via Long-Range Modulatory Feedback ConnectionsTalia Konkle, George A. Alvarez. [doi]
• EgoEnv: Human-centric environment representations from egocentric videoTushar Nagarajan, Santhosh Kumar Ramakrishnan, Ruta Desai, James Hillis, Kristen Grauman. [doi]
• PAC Learning Linear Thresholds from Label ProportionsAnand Brahmbhatt, Rishi Saket, Aravindan Raghuveer. [doi]
• Finding Local Minima Efficiently in Decentralized OptimizationWenhan Xian, Heng Huang. [doi]
• Optimal Rates for Bandit Nonstochastic ControlY. Jennifer Sun, Stephen H. Newman, Elad Hazan. [doi]
• Probabilistic Invariant Learning with Randomized Linear ClassifiersLeonardo Cotta, Gal Yehuda, Assaf Schuster, Chris J. Maddison. [doi]
• Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion PriorsPaul S. Scotti, Atmadeep Banerjee, Jimmie Goode, Stepan Shabalin, Alex Nguyen, Ethan Cohen, Aidan J. Dempster, Nathalie Verlinde, Elad Yundler, David Weisberg, Kenneth A. Norman, Tanishq Mathew Abraham. [doi]
• ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image ManipulationYasheng Sun, Yifan Yang, Houwen Peng, Yifei Shen, YuQing Yang, Han Hu, Lili Qiu, Hideki Koike. [doi]
• Red Teaming Deep Neural Networks with Feature Synthesis ToolsStephen Casper, Tong Bu, Yuxiao Li, Jiawei Li, Kevin Zhang, Kaivalya Hariharan, Dylan Hadfield-Menell. [doi]
• LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant DiffusionJiaqi Guan, Xingang Peng, Peiqi Jiang, Yunan Luo, Jian Peng 0001, Jianzhu Ma. [doi]
• BiMatting: Efficient Video Matting via BinarizationHaotong Qin, Lei Ke, Xudong Ma 0007, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Xianglong Liu 0001, Fisher Yu 0001. [doi]
• Separable Physics-Informed Neural NetworksJunwoo Cho, Seungtae Nam, Hyunmo Yang, Seok-Bae Yun, Youngjoon Hong, Eunbyung Park. [doi]
• Where Did I Come From? Origin Attribution of AI-Generated ImagesZhenting Wang, Chen Chen 0043, Yi Zeng, Lingjuan Lyu, ShiQing Ma. [doi]
• Asynchrony-Robust Collaborative Perception via Bird's Eye View FlowSizhe Wei, Yuxi Wei, Yue Hu, Yifan Lu, Yiqi Zhong, Siheng Chen, Ya Zhang. [doi]
• A Regularized Conditional GAN for Posterior Sampling in Image Recovery ProblemsMatthew Bendel, Rizwan Ahmad, Philip Schniter. [doi]
• Ambient Diffusion: Learning Clean Distributions from Corrupted DataGiannis Daras, Kulin Shah, Yuval Dagan, Aravind Gollakota, Alex Dimakis, Adam R. Klivans. [doi]
• Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World ModelsXingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl. [doi]
• Structural Pruning for Diffusion ModelsGongfan Fang, Xinyin Ma, Xinchao Wang. [doi]
• Online Convex Optimization with Unbounded MemoryRaunak Kumar, Sarah Dean, Robert Kleinberg. [doi]
• Deep Reinforcement Learning with Plasticity InjectionEvgenii Nikishin, Junhyuk Oh, Georg Ostrovski, Clare Lyle, Razvan Pascanu, Will Dabney, André Barreto 0001. [doi]
• Learning non-Markovian Decision-Making from State-only SequencesAoyang Qin, Feng Gao, Qing Li, Song Chun Zhu, Sirui Xie. [doi]
• Failure-Aware Gaussian Process Optimization with Regret BoundsShogo Iwazaki, Shion Takeno, Tomohiko Tanabe, Mitsuru Irie. [doi]
• Representation Learning via Consistent Assignment of Views over Random PartitionsThalles Santos Silva, Adín Ramírez Rivera. [doi]
• SparseProp: Efficient Event-Based Simulation and Training of Sparse Recurrent Spiking Neural NetworksRainer Engelken. [doi]
• A Causal Framework for Decomposing Spurious VariationsDrago Plecko, Elias Bareinboim. [doi]
• Faster Margin Maximization Rates for Generic Optimization MethodsGuanghui Wang, Zihao Hu, Vidya Muthukumar, Jacob D. Abernethy. [doi]
• Bayesian Risk-Averse Q-Learning with Streaming ObservationsYuhao Wang, Enlu Zhou. [doi]
• Lookup Table meets Local Laplacian Filter: Pyramid Reconstruction Network for Tone MappingFeng Zhang, Ming Tian, Zhiqiang Li, Bin Xu, Qingbo Lu, Changxin Gao, Nong Sang. [doi]
• Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human SupervisionZhiqing Sun, Yikang Shen, Qinhong Zhou, Hongxin Zhang, Zhenfang Chen, David D. Cox, Yiming Yang, Chuang Gan. [doi]
• trajdata: A Unified Interface to Multiple Human Trajectory DatasetsBoris Ivanovic, Guanyu Song, Igor Gilitschenski, Marco Pavone 0001. [doi]
• Robust Lipschitz Bandits to Adversarial CorruptionsYue Kang 0002, Cho-Jui Hsieh, Thomas Chun Man Lee. [doi]
• Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and ResolutionMostafa Dehghani 0001, Basil Mustafa, Josip Djolonga, Jonathan Heek, Matthias Minderer, Mathilde Caron, Andreas Steiner, Joan Puigcerver, Robert Geirhos, Ibrahim M. Alabdulmohsin, Avital Oliver, Piotr Padlewski, Alexey A. Gritsenko, Mario Lucic, Neil Houlsby. [doi]
• Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image EditingKai Wang 0060, Fei Yang, Shiqi Yang, Muhammad Atif Butt, Joost van de Weijer 0001. [doi]
• Improved Frequency Estimation Algorithms with and without PredictionsAnders Aamand, Justin Y. Chen, Huy Lê Nguyen, Sandeep Silwal, Ali Vakilian. [doi]
• On the Sublinear Regret of GP-UCBJustin Whitehouse, Aaditya Ramdas, Zhiwei Steven Wu. [doi]
• LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis EvaluationYujie Lu, Xianjun Yang, Xiujun Li, Xin Eric Wang, William Yang Wang. [doi]
• ForkMerge: Mitigating Negative Transfer in Auxiliary-Task LearningJunguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Dapeng Liu, Jie Jiang 0015, Mingsheng Long. [doi]
• Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different ComplexitiesDongrui Liu, Huiqi Deng, Xu Cheng 0005, Qihan Ren, Kangrui Wang, Quanshi Zhang. [doi]
• ReSync: Riemannian Subgradient-based Robust Rotation SynchronizationHuikang Liu, Xiao Li, Anthony Man-Cho So. [doi]
• CELLE-2: Translating Proteins to Pictures and Back with a Bidirectional Text-to-Image TransformerEmaad Khwaja, Yun Song, Aaron Agarunov, Bo Huang. [doi]
• Regularity as Intrinsic Reward for Free PlayCansu Sancaktar, Justus H. Piater, Georg Martius. [doi]
• Scaling Open-Vocabulary Object DetectionMatthias Minderer, Alexey A. Gritsenko, Neil Houlsby. [doi]
• Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential PrivacyBonwoo Lee, Jeongyoun Ahn, Cheolwoo Park. [doi]
• (Almost) Provable Error Bounds Under Distribution Shift via Disagreement DiscrepancyElan Rosenfeld, Saurabh Garg. [doi]
• Geometry-Aware Adaptation for Pretrained ModelsNicholas Roberts, Xintong Li, Dyah Adila, Sonia Cromp, Tzu-Heng Huang, Jitian Zhao, Frederic Sala. [doi]
• Cold Diffusion: Inverting Arbitrary Image Transforms Without NoiseArpit Bansal, Eitan Borgnia, Hong-Min Chu, Jie Li, Hamid Kazemi, Furong Huang, Micah Goldblum, Jonas Geiping, Tom Goldstein. [doi]
• Explore to Generalize in Zero-Shot RLEv Zisselman, Itai Lavie, Daniel Soudry, Aviv Tamar. [doi]
• Leveraging the two-timescale regime to demonstrate convergence of neural networksPierre Marion, Raphaël Berthier. [doi]
• Object-centric Learning with Cyclic Walks between Parts and WholeZiyu Wang, Mike Zheng Shou, Mengmi Zhang. [doi]
• Strategic Behavior in Two-sided Matching Markets with Prediction-enhanced Preference-formationStefania Ionescu, Yuhao Du, Kenneth Joseph, Ancsa Hannak. [doi]
• UniT: A Unified Look at Certified Robust Training against Text Adversarial PerturbationMuchao Ye, Ziyi Yin 0003, Tianrong Zhang, Tianyu Du, Jinghui Chen, Ting Wang, Fenglong Ma. [doi]
• Learning the Efficient FrontierPhilippe Chatigny, Ivan Sergienko, Ryan Ferguson, Jordan Weir, Maxime Bergeron. [doi]
• Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models ReductionHanhan Zhou, Tian Lan, Guru Venkataramani, Wenbo Ding. [doi]
• Faster approximate subgraph counts with privacyDung Nguyen 0002, Mahantesh Halappanavar, Venkatesh Srinivasan, Anil Vullikanti. [doi]
• K-Nearest-Neighbor Local Sampling Based Conditional Independence TestingShuai Li, Yingjie Zhang, Hongtu Zhu, Christina Dan Wang, Hai Shu, Ziqi Chen, Zhuoran Sun, Yanfeng Yang. [doi]
• Learning to Taste: A Multimodal Wine DatasetThoranna Bender, Simon Møe Sørensen, Alireza Kashani, Kristjan Eldjarn Hjorleifsson, Grethe Hyldig, Søren Hauberg, Serge J. Belongie, Frederik Warburg. [doi]
• Benchmarking Large Language Models on CMExam - A comprehensive Chinese Medical Exam DatasetJunling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, Michael Lingzhi Li. [doi]
• Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?Haitao Mao, Zhikai Chen, Wei Jin 0009, Haoyu Han, Yao Ma 0001, Tong Zhao, Neil Shah, Jiliang Tang. [doi]
• Active Learning-Based Species Range EstimationChristian Lange, Elijah Cole, Grant Van Horn, Oisin Mac Aodha. [doi]
• Data Quality in Imitation LearningSuneel Belkhale, Yuchen Cui, Dorsa Sadigh. [doi]
• MAG-GNN: Reinforcement Learning Boosted Graph Neural NetworkLecheng Kong, Jiarui Feng, Hao Liu, Dacheng Tao, Yixin Chen, Muhan Zhang. [doi]
• Learning World Models with Identifiable FactorizationYuren Liu, Biwei Huang, Zhengmao Zhu, Hong-Long Tian, Mingming Gong, Yang Yu 0001, Kun Zhang 0001. [doi]
• JourneyDB: A Benchmark for Generative Image UnderstandingKeqiang Sun, Junting Pan, Yuying Ge, Hao Li, Haodong Duan, Xiaoshi Wu, Renrui Zhang, Aojun Zhou, Zipeng Qin, Yi Wang, Jifeng Dai, Yu Qiao, Limin Wang, Hongsheng Li. [doi]
• SPRING: Studying Papers and Reasoning to play GamesYue Wu, So Yeon Min, Shrimai Prabhumoye, Yonatan Bisk, Russ Salakhutdinov, Amos Azaria, Tom M. Mitchell, Yuanzhi Li. [doi]
• Near-Optimal Bounds for Learning Gaussian Halfspaces with Random Classification NoiseIlias Diakonikolas, Jelena Diakonikolas, Daniel Kane, Puqian Wang, Nikos Zarifis. [doi]
• Understanding Contrastive Learning via Distributionally Robust OptimizationJunkang Wu, Jiawei Chen 0007, Jiancan Wu, Wentao Shi, Xiang Wang, Xiangnan He 0001. [doi]
• Conditional Matrix Flows for Gaussian Graphical ModelsMarcello Massimo Negri, Fabricio Arend Torres, Volker Roth 0001. [doi]
• Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot ClassificationTianjun Ke, Haoqun Cao, Zenan Ling, Feng Zhou. [doi]
• DeepPCR: Parallelizing Sequential Operations in Neural NetworksFederico Danieli, Miguel Sarabia, Xavier Suau Cuadros, Pau Rodríguez, Luca Zappella. [doi]
• Bayesian Optimisation of Functions on GraphsXingchen Wan, Pierre Osselin, Henry Kenlay, Binxin Ru, Michael A. Osborne, Xiaowen Dong 0001. [doi]
• Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test DataBoris van Breugel, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar. [doi]
• Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural languageEghbal A. Hosseini, Evelina Fedorenko. [doi]
• EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural NetworksZihang Shao, Xuanye Fang, Yaxin Li, Chaoran Feng, Jiangrong Shen, Qi Xu. [doi]
• Pruning vs Quantization: Which is Better?Andrey Kuzmin, Markus Nagel, Mart van Baalen, Arash Behboodi, Tijmen Blankevoort. [doi]
• Recaptured Raw Screen Image and Video Demoiréing via Channel and Spatial ModulationsYijia Cheng, Xin Liu, Jingyu Yang. [doi]
• Provably (More) Sample-Efficient Offline RL with OptionsXiaoyan Hu, Ho-Fung Leung. [doi]
• Interaction Measures, Partition Lattices and Kernel Tests for High-Order InteractionsZhaolu Liu, Robert L. Peach, Pedro A. M. Mediano, Mauricio Barahona. [doi]
• Data-Driven Network Neuroscience: On Data Collection and BenchmarkJiaxing Xu, Yunhan Yang, David Tse Jung Huang, Sophi Shilpa Gururajapathy, Yiping Ke, Miao Qiao, Alan Wang, Haribalan Kumar, Josh McGeown, Eryn Kwon. [doi]
• UNSSOR: Unsupervised Neural Speech Separation by Leveraging Over-determined Training MixturesZhong-qiu Wang, Shinji Watanabe 0001. [doi]
• Frequency-Enhanced Data Augmentation for Vision-and-Language NavigationKeji He, Chenyang Si, Zhihe Lu, Yan Huang, Liang Wang, Xinchao Wang. [doi]
• DäRF: Boosting Radiance Fields from Sparse Input Views with Monocular Depth AdaptationJiuhn Song, SeongHoon Park, Honggyu An, Seokju Cho, Minseop Kwak, Sungjin Cho, Seungryong Kim. [doi]
• Learning threshold neurons via edge of stabilityKwangjun Ahn, Sébastien Bubeck, Sinho Chewi, Yin Tat Lee, Felipe Suarez, Yi Zhang. [doi]
• Mr. HiSum: A Large-scale Dataset for Video Highlight Detection and SummarizationJinhwan Sul, Jihoon Han, Joonseok Lee. [doi]
• Directional diffusion models for graph representation learningRun Yang, Yuling Yang, Fan Zhou, Qiang Sun. [doi]
• Detecting hidden confounding in observational data using multiple environmentsRickard Karlsson, Jesse H. Krijthe. [doi]
• DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal ForecastingSalva Rühling Cachay, Bo Zhao, Hailey Joren, Rose Yu. [doi]
• Rubik's Cube: High-Order Channel Interactions with a Hierarchical Receptive FieldNaishan Zheng, Man Zhou, Chong Zhou, Chen Change Loy. [doi]
• Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and TimeArvind Mahankali, Haochen Zhang, Kefan Dong, Margalit Glasgow, Tengyu Ma 0001. [doi]
• Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation ModelsBeier Zhu, Kaihua Tang, Qianru Sun, Hanwang Zhang. [doi]
• MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 UpdatesMohammad Mozaffari, Sikan Li, Zhao Zhang, Maryam Mehri Dehnavi. [doi]
• Error Bounds for Learning with Vector-Valued Random FeaturesSamuel Lanthaler, Nicholas H. Nelsen. [doi]
• From Distribution Learning in Training to Gradient Search in Testing for Combinatorial OptimizationYang Li, Jinpei Guo, Runzhong Wang, Junchi Yan. [doi]
• Geometric Neural Diffusion ProcessesEmile Mathieu, Vincent Dutordoir, Michael Hutchinson, Valentin De Bortoli, Yee Whye Teh, Richard E. Turner. [doi]
• Random Cuts are Optimal for Explainable k-MediansKonstantin Makarychev, Liren Shan. [doi]
• The Behavior and Convergence of Local Bayesian OptimizationKaiwen Wu, Kyurae Kim, Roman Garnett, Jacob Gardner. [doi]
• MiliPoint: A Point Cloud Dataset for mmWave RadarHan Cui, Shu Zhong, Jiacheng Wu, Zichao Shen, Naim Dahnoun, Yiren Zhao. [doi]
• ProBio: A Protocol-guided Multimodal Dataset for Molecular Biology LabJieming Cui, Ziren Gong, Baoxiong Jia, Siyuan Huang, Zilong Zheng, Jianzhu Ma, Yixin Zhu 0001. [doi]
• Mixed Samples as Probes for Unsupervised Model Selection in Domain AdaptationDapeng Hu, Jian Liang, Jun Hao Liew, Chuhui Xue, Song Bai, Xinchao Wang. [doi]
• Synthetic Experience ReplayCong Lu, Philip J. Ball, Yee Whye Teh, Jack Parker-Holder. [doi]
• Robust Knowledge Transfer in Tiered Reinforcement LearningJiawei Huang, Niao He. [doi]
• ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and DesignPascal Notin, Aaron Kollasch, Daniel Ritter, Lood van Niekerk, Steffanie Paul, Han Spinner, Nathan J. Rollins, Ada Shaw, Rose Orenbuch, Ruben Weitzman, Jonathan Frazer, Mafalda Dias, Dinko Franceschi, Yarin Gal, Debora S. Marks. [doi]
• Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated LearningYue Tan, Chen Chen 0001, Weiming Zhuang, Xin Dong, Lingjuan Lyu, Guodong Long. [doi]
• (S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of StabilityMathieu Even, Scott Pesme, Suriya Gunasekar, Nicolas Flammarion. [doi]
• StreamNet: Memory-Efficient Streaming Tiny Deep Learning Inference on the MicrocontrollerHong-Sheng Zheng, Yu-Yuan Liu, Chen-Fong Hsu, Tsung Tai Yeh. [doi]
• Stability of Random Forests and Coverage of Random-Forest Prediction IntervalsYan Wang, Huaiqing Wu, Dan Nettleton. [doi]
• The emergence of clusters in self-attention dynamicsBorjan Geshkovski, Cyril Letrouit, Yury Polyanskiy, Philippe Rigollet. [doi]
• Look Ma, No Hands! Agent-Environment Factorization of Egocentric VideosMatthew Chang, Aditya Prakash, Saurabh Gupta 0001. [doi]
• Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous ControlChao Li, Chen Gong, Qiang He, Xinwen Hou. [doi]
• Decision Tree for Locally Private Estimation with Public DataYuheng Ma, Han Zhang, Yuchao Cai, Hanfang Yang. [doi]
• ZoomTrack: Target-aware Non-uniform Resizing for Efficient Visual TrackingYutong Kou, Jin Gao, Bing Li, Gang Wang, Weiming Hu, Yizheng Wang, Liang Li. [doi]
• What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic SegmentationBenedikt Blumenstiel, Johannes Jakubik, Hilde Kühne, Michael Vössing. [doi]
• Regret Matching+: (In)Stability and Fast Convergence in GamesGabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-wei Lee, Haipeng Luo. [doi]
• LambdaBeam: Neural Program Search with Higher-Order Functions and LambdasKensen Shi, Hanjun Dai, Wen-Ding Li, Kevin Ellis, Charles Sutton. [doi]
• Temporal Robustness against Data poisoningWenxiao Wang 0002, Soheil Feizi. [doi]
• Learning Exponential Families from Truncated SamplesJane Lee, Andre Wibisono, Emmanouil Zampetakis. [doi]
• Tracr: Compiled Transformers as a Laboratory for InterpretabilityDavid Lindner, János Kramár, Sebastian Farquhar, Matthew Rahtz, Tom McGrath, Vladimir Mikulik. [doi]
• QATCH: Benchmarking SQL-centric tasks with Table Representation Learning Models on Your DataSimone Papicchio, Paolo Papotti, Luca Cagliero. [doi]
• Normalization-Equivariant Neural Networks with Application to Image DenoisingSébastien Herbreteau, Emmanuel Moebel, Charles Kervrann. [doi]
• Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information FeedbackCanzhe Zhao, Ruofeng Yang, Baoxiang Wang 0001, Xuezhou Zhang, Shuai Li. [doi]
• Online (Multinomial) Logistic Bandit: Improved Regret and Constant Computation CostYu-Jie Zhang, Masashi Sugiyama. [doi]
• LEACE: Perfect linear concept erasure in closed formNora Belrose, David Schneider-Joseph, Shauli Ravfogel, Ryan Cotterell, Edward Raff, Stella Biderman. [doi]
• On the Minimax Regret for Online Learning with Feedback GraphsKhaled Eldowa, Emmanuel Esposito, Tommaso Cesari, Nicolò Cesa-Bianchi. [doi]
• Elastic Decision TransformerYueh-Hua Wu, Xiaolong Wang, Masashi Hamaya. [doi]
• Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset SelectionXilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli. [doi]
• OpenAGI: When LLM Meets Domain ExpertsYingqiang Ge, Wenyue Hua, Kai Mei, Jianchao Ji, Juntao Tan, Shuyuan Xu, Zelong Li, Yongfeng Zhang. [doi]
• Are These the Same Apple? Comparing Images Based on Object IntrinsicsKlemen Kotar, Stephen Tian, Hong-Xing Yu, Dan Yamins, Jiajun Wu 0001. [doi]
• Online List Labeling with PredictionsSamuel McCauley, Benjamin Moseley, Aidin Niaparast, Shikha Singh 0002. [doi]
• Neural Lyapunov Control for Discrete-Time SystemsJunlin Wu 0001, Andrew Clark 0001, Yiannis Kantaros, Yevgeniy Vorobeychik. [doi]
• Continual Learning for Instruction Following from Realtime FeedbackAlane Suhr, Yoav Artzi. [doi]
• Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-offZichen Vincent Zhang, Johannes Kirschner, Junxi Zhang, Francesco Zanini, Alex Ayoub, Masood Dehghan, Dale Schuurmans. [doi]
• Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different DistributionsLeonidas Tsepenekas, Ivan Brugere, Freddy Lécué, Daniele Magazzeni. [doi]
• Toward Better PAC-Bayes Bounds for Uniformly Stable AlgorithmsSijia Zhou, Yunwen Lei, Ata Kabán. [doi]
• Invariant Learning via Probability of Sufficient and Necessary CausesMengyue Yang, Yonggang Zhang, Zhen Fang, Yali Du 0001, Furui Liu, Jean-Francois Ton, Jianhong Wang, Jun Wang. [doi]
• A Simple Yet Effective Strategy to Robustify the Meta Learning ParadigmQi Wang 0005, Yiqin Lv, Yang-He Feng, Zheng Xie, Jincai Huang. [doi]
• Algorithm Selection for Deep Active Learning with Imbalanced DatasetsJifan Zhang, Shuai Shao, Saurabh Verma, Robert D. Nowak. [doi]
• Zero-Regret Performative Prediction Under Inequality ConstraintsWenjing Yan, Xuanyu Cao. [doi]
• Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and ElaborationHaitao Lin, Yufei Huang, Odin Zhang, Yunfan Liu, Lirong Wu, Siyuan Li, Zhiyuan Chen 0008, Stan Z. Li. [doi]
• VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important TokensZhanpeng Zeng, Cole Hawkins, Mingyi Hong, Aston Zhang, Nikolaos Pappas 0004, Vikas Singh, Shuai Zheng. [doi]
• Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian ManifoldsPaul Rosa, Slava Borovitskiy, Alexander Terenin, Judith Rousseau. [doi]
• Understanding and Improving Feature Learning for Out-of-Distribution GeneralizationYongqiang Chen, Wei Huang, Kaiwen Zhou, Yatao Bian, Bo Han, James Cheng. [doi]
• Change point detection and inference in multivariate non-parametric models under mixing conditionsCarlos Misael Madrid Padilla, Haotian Xu, Daren Wang, Oscar Hernan Madrid Padilla, Yi Yu. [doi]
• Differentiable Random Partition ModelsThomas M. Sutter, Alain Ryser, Joram Liebeskind, Julia E. Vogt. [doi]
• L-CAD: Language-based Colorization with Any-level Descriptions using Diffusion PriorsZheng Chang, Shuchen Weng, Peixuan Zhang, Yu Li 0003, Si Li 0001, Boxin Shi. [doi]
• A generative model of the hippocampal formation trained with theta driven local learning rulesTom M. George, Kimberly L. Stachenfeld, Caswell Barry, Claudia Clopath, Tomoki Fukai. [doi]
• Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded RewardsHao Qin, Kwang-Sung Jun, Chicheng Zhang. [doi]
• AdaPlanner: Adaptive Planning from Feedback with Language ModelsHaotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai 0001, Chao Zhang. [doi]
• A U-turn on Double Descent: Rethinking Parameter Counting in Statistical LearningAlicia Curth, Alan Jeffares, Mihaela van der Schaar. [doi]
• FouriDown: Factoring Down-Sampling into Shuffling and SuperposingQi Zhu, Man Zhou, Jie Huang, Naishan Zheng, Hongzhi Gao, Chongyi Li, Yuan Xu, Feng Zhao. [doi]
• BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement LearningXuan Chen, Wenbo Guo 0002, Guanhong Tao 0001, Xiangyu Zhang 0001, Dawn Song. [doi]
• Revisiting the Minimalist Approach to Offline Reinforcement LearningDenis Tarasov, Vladislav Kurenkov, Alexander Nikulin, Sergey Kolesnikov. [doi]
• Sequential Preference Ranking for Efficient Reinforcement Learning from Human FeedbackMinyoung Hwang, Gunmin Lee, Hogun Kee, Chan Woo Kim, Kyungjae Lee 0001, Songhwai Oh. [doi]
• SiT Dataset: Socially Interactive Pedestrian Trajectory Dataset for Social Navigation RobotsJong-Wook Bae, Jungho Kim 0006, Junyong Yun, Changwon Kang, Jeongseon Choi, Chanhyeok Kim, Junho Lee, Jungwook Choi, Jun Won Choi. [doi]
• Speculative Decoding with Big Little DecoderSehoon Kim, Karttikeya Mangalam, Suhong Moon, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer. [doi]
• Learning to Influence Human Behavior with Offline Reinforcement LearningJoey Hong, Sergey Levine, Anca D. Dragan. [doi]
• A Metadata-Driven Approach to Understand Graph Neural NetworksTing-Wei Li, Qiaozhu Mei, Jiaqi Ma 0001. [doi]
• A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete TrajectoriesKai Yan, Alexander G. Schwing, Yu-Xiong Wang. [doi]
• Provable Training for Graph Contrastive LearningYue Yu, Xiao Wang, Mengmei Zhang, Nian Liu, Chuan Shi. [doi]
• Trial matching: capturing variability with data-constrained spiking neural networksChristos Sourmpis, Carl C. H. Petersen, Wulfram Gerstner, Guillaume Bellec. [doi]
• Zero-sum Polymatrix Markov Games: Equilibrium Collapse and Efficient Computation of Nash EquilibriaFivos Kalogiannis, Ioannis Panageas. [doi]
• Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor AnnotationsLaura Gustafson, Megan Richards, Melissa Hall, Caner Hazirbas, Diane Bouchacourt, Mark Ibrahim. [doi]
• Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortexDrew Linsley, Ivan F. Rodriguez Rodriguez, Thomas Fel, Michael Arcaro, Saloni Sharma, Margaret S. Livingstone, Thomas Serre. [doi]
• Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from BackboneZeyinzi Jiang, Chaojie Mao, Ziyuan Huang, Ao Ma, Yiliang Lv, Yujun Shen, Deli Zhao, Jingren Zhou. [doi]
• Passive learning of active causal strategies in agents and language modelsAndrew K. Lampinen, Stephanie C. Y. Chan, Ishita Dasgupta 0001, Andrew J. Nam, Jane X. Wang. [doi]
• Computing Optimal Nash Equilibria in Multiplayer GamesYouzhi Zhang 0001, Bo An 0001, Venkatramanan Siva Subrahmanian. [doi]
• Mechanism Design for Collaborative Normal Mean EstimationYiding Chen, Jerry Zhu, Kirthevasan Kandasamy. [doi]
• Learning Curves for Deep Structured Gaussian Feature ModelsJacob A. Zavatone-Veth, Cengiz Pehlevan. [doi]
• Emergence of Shape Bias in Convolutional Neural Networks through Activation SparsityTianqin Li, Ziqi Wen, Yangfan Li, Tai Sing Lee. [doi]
• Global Convergence Analysis of Local SGD for Two-layer Neural Network without OverparameterizationYajie Bao, Amarda Shehu, Mingrui Liu. [doi]
• InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud CompletionFangzhou Lin, Yun Yue, Ziming Zhang, Songlin Hou, Kazunori D. Yamada, Vijaya Kolachalama, Venkatesh Saligrama. [doi]
• Information Design in Multi-Agent Reinforcement LearningYue Lin, Wenhao Li, Hongyuan Zha, Baoxiang Wang 0001. [doi]
• Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised LearningMarina Munkhoeva, Ivan V. Oseledets. [doi]
• xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq DataJing Gong, Minsheng Hao, Xingyi Cheng, Xin Zeng, Chiming Liu, Jianzhu Ma, Xuegong Zhang, Taifeng Wang, Le Song. [doi]
• PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image DenoisingHyemi Jang, Junsung Park, Dahuin Jung, Jaihyun Lew, Ho Bae, Sungroh Yoon. [doi]
• Guide Your Agent with Adaptive Multimodal RewardsChangyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee. [doi]
• Bridging Discrete and Backpropagation: Straight-Through and BeyondLiyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu, Jianfeng Gao. [doi]
• Coneheads: Hierarchy Aware AttentionAlbert Tseng, Tao Yu, Toni J. B. Liu, Christopher De Sa. [doi]
• DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance FieldChenyangguang Zhang, Yan Di, Ruida Zhang, Guangyao Zhai, Fabian Manhardt, Federico Tombari, Xiangyang Ji. [doi]
• LICO: Explainable Models with Language-Image COnsistencyYiming Lei, Zilong Li, Yangyang Li, Junping Zhang, Hongming Shan. [doi]
• De novo Drug Design using Reinforcement Learning with Multiple GPT AgentsXiuyuan Hu, Guoqing Liu, Yang Zhao 0016, Hao Zhang. [doi]
• Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time AttackerSihui Dai, Wenxin Ding, Arjun Nitin Bhagoji, Daniel Cullina, Heather Zheng, Ben Zhao, Prateek Mittal. [doi]
• MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image EditingKai Zhang, Lingbo Mo, Wenhu Chen, Huan Sun, Yu Su. [doi]
• Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble AgentsWoojun Kim, Yongjae Shin, Jongeui Park, Youngchul Sung. [doi]
• IDRNet: Intervention-Driven Relation Network for Semantic SegmentationZhenchao Jin, Xiaowei Hu 0001, Lingting Zhu, Luchuan Song, Li Yuan, Lequan Yu. [doi]
• Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and DiscoveryYuxin Wen, Neel Jain, John Kirchenbauer, Micah Goldblum, Jonas Geiping, Tom Goldstein. [doi]
• Long-Term Fairness with Unknown DynamicsTongxin Yin, Reilly Raab, Mingyan Liu, Yang Liu 0018. [doi]
• Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed InitializationYan Sun, Li Shen, Dacheng Tao. [doi]
• BioMassters: A Benchmark Dataset for Forest Biomass Estimation using Multi-modal Satellite Time-seriesAndrea Nascetti, Ritu Yadav, Kirill Brodt, Qixun Qu, Hongwei Fan, Yuri Shendryk, Isha Shah, Christine Chung. [doi]
• Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized CodebaseQiuyu Wang, Zifan Shi, Kecheng Zheng, Yinghao Xu, Sida Peng, Yujun Shen. [doi]
• FedNAR: Federated Optimization with Normalized Annealing RegularizationJunbo Li, Ang Li, Chong Tian, Qirong Ho, Eric P. Xing, Hongyi Wang 0001. [doi]
• Percentile Criterion Optimization in Offline Reinforcement LearningCyrus Cousins, Elita A. Lobo, Marek Petrik, Yair Zick. [doi]
• Distributed Inference and Fine-tuning of Large Language Models Over The InternetAlexander Borzunov, Max Ryabinin, Artem Chumachenko, Dmitry Baranchuk, Tim Dettmers, Younes Belkada, Pavel Samygin, Colin A. Raffel. [doi]
• Exact Verification of ReLU Neural Control Barrier FunctionsHongchao Zhang, Junlin Wu 0001, Yevgeniy Vorobeychik, Andrew Clark 0001. [doi]
• HAP: Structure-Aware Masked Image Modeling for Human-Centric PerceptionJunkun Yuan, Xinyu Zhang, Hao Zhou, Jian Wang 0066, Zhongwei Qiu, Zhiyin Shao, Shaofeng Zhang, Sifan Long, Kun Kuang, Kun Yao, Junyu Han, Errui Ding, Lanfen Lin, Fei Wu, Jingdong Wang 0001. [doi]
• A Hierarchical Training Paradigm for Antibody Structure-sequence Co-designFang Wu, Stan Z. Li. [doi]
• How Far Can Camels Go? Exploring the State of Instruction Tuning on Open ResourcesYizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi. [doi]
• Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic TaskMaya Okawa, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka. [doi]
• Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic ControlJann Spiess, Guido Imbens, Amar Venugopal. [doi]
• Faster Discrete Convex Function Minimization with Predictions: The M-Convex CaseTaihei Oki, Shinsaku Sakaue. [doi]
• Minimax-Optimal Location EstimationShivam Gupta, Jasper C. H. Lee, Eric Price 0001, Paul Valiant. [doi]
• Ethical Considerations for Responsible Data CurationJerone Theodore Alexander Andrews, Dora Zhao, William Thong, Apostolos Modas, Orestis Papakyriakopoulos, Alice Xiang. [doi]
• TextDiffuser: Diffusion Models as Text PaintersJingye Chen, Yupan Huang, Tengchao Lv, Lei Cui 0001, Qifeng Chen, Furu Wei. [doi]
• Maximum Independent Set: Self-Training through Dynamic ProgrammingLorenzo Brusca, Lars C. P. M. Quaedvlieg, Stratis Skoulakis, Grigorios Chrysos 0002, Volkan Cevher. [doi]
• Limits, approximation and size transferability for GNNs on sparse graphs via graphopsThien Le, Stefanie Jegelka. [doi]
• Punctuation-level Attack: Single-shot and Single Punctuation Can Fool Text ModelsWenqiang Wang, Chongyang Du, Tao Wang, Kaihao Zhang, Wenhan Luo, Lin Ma, Wei Liu, Xiaochun Cao. [doi]
• Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian OptimizationHaitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ismael Morales, Ingmar Posner, Xiaowen Dong 0001. [doi]
• Flow Factorized Representation LearningYue Song, Andy Keller, Nicu Sebe, Max Welling. [doi]
• Debiasing Scores and Prompts of 2D Diffusion for View-consistent Text-to-3D GenerationSusung Hong, Donghoon Ahn, Seungryong Kim. [doi]
• Neural (Tangent Kernel) CollapseMariia Seleznova, Dana Weitzner, Raja Giryes, Gitta Kutyniok, Hung Hsu Chou. [doi]
• What Planning Problems Can A Relational Neural Network Solve?Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling. [doi]
• Rethinking Gauss-Newton for learning over-parameterized modelsMichael Arbel, Romain Menegaux, Pierre Wolinski. [doi]
• GlucoSynth: Generating Differentially-Private Synthetic Glucose TracesJosephine Lamp, Mark Derdzinski, Christopher Hannemann, Joost van der Linden, Lu Feng 0001, Tianhao Wang 0001, David E. Evans 0001. [doi]
• Boosting with Tempered Exponential MeasuresRichard Nock, Ehsan Amid, Manfred K. Warmuth. [doi]
• Rank-DETR for High Quality Object DetectionYifan Pu, Weicong Liang, Yiduo Hao, Yuhui Yuan, Yukang Yang, Chao Zhang, Han Hu, Gao Huang. [doi]
• Does Invariant Graph Learning via Environment Augmentation Learn Invariance?Yongqiang Chen, Yatao Bian, Kaiwen Zhou, Binghui Xie, Bo Han, James Cheng. [doi]
• SEENN: Towards Temporal Spiking Early Exit Neural NetworksYuhang Li, Tamar Geller, Youngeun Kim, Priyadarshini Panda. [doi]
• Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to FairnessEvgenii Chzhen, Christophe Giraud 0002, Zhen Li, Gilles Stoltz. [doi]
• Distribution-Free Model-Agnostic Regression Calibration via Nonparametric MethodsShang Liu, Zhongze Cai, Xiaocheng Li. [doi]
• TabMT: Generating tabular data with masked transformersManbir Gulati, Paul F. Roysdon. [doi]
• Normalization Layers Are All That Sharpness-Aware Minimization NeedsMaximilian Müller, Tiffany Vlaar, David Rolnick, Matthias Hein 0001. [doi]
• No Representation Rules Them All in Category DiscoverySagar Vaze, Andrea Vedaldi, Andrew Zisserman. [doi]
• ResShift: Efficient Diffusion Model for Image Super-resolution by Residual ShiftingZongsheng Yue, Jianyi Wang, Chen Change Loy. [doi]
• Mode Connectivity in Auction DesignChristoph Hertrich, Yixin Tao, László A. Végh. [doi]
• AND: Adversarial Neural Degradation for Learning Blind Image Super-ResolutionFangzhou Luo, Xiaolin Wu 0001, Yanhui Guo. [doi]
• GloptiNets: Scalable Non-Convex Optimization with CertificatesGaspard Beugnot, Julien Mairal, Alessandro Rudi. [doi]
• H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous DatasetsGuanqiang Zhou, Ping Xu, Yue Wang 0019, Zhi Tian. [doi]
• A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision TasksSara Babakniya, Zalan Fabian, Chaoyang He 0001, Mahdi Soltanolkotabi, Salman Avestimehr. [doi]
• On the Convergence of CART under Sufficient Impurity Decrease ConditionRahul Mazumder, Haoyue Wang. [doi]
• Unified Enhancement of Privacy Bounds for Mixture Mechanisms via f-Differential PrivacyChendi Wang, Buxin Su, Jiayuan Ye 0001, Reza Shokri, Weijie J. Su. [doi]
• L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based InferenceJulia Linhart, Alexandre Gramfort, Pedro Rodrigues 0002. [doi]
• ASPEN: Breaking Operator Barriers for Efficient Parallelization of Deep Neural NetworksJongseok Park, Kyungmin Bin, Gibum Park, Sangtae Ha, Kyunghan Lee. [doi]
• Bootstrapping Vision-Language Learning with Decoupled Language Pre-trainingYiren Jian, Chongyang Gao, Soroush Vosoughi. [doi]
• Neural Lighting Simulation for Urban ScenesAva Pun, Gary Sun, Jingkang Wang, Yun Chen 0014, Ze Yang 0003, Sivabalan Manivasagam, Wei-Chiu Ma, Raquel Urtasun. [doi]
• Effective Targeted Attacks for Adversarial Self-Supervised LearningMinseon Kim, Hyeonjeong Ha, Sooel Son, Sung Ju Hwang. [doi]
• On the Power of SVD in the Stochastic Block ModelXinyu Mao, Jiapeng Zhang. [doi]
• ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body SimulationZhuo Chen, Laker Newhouse, Eddie Chen, Di Luo, Marin Soljacic. [doi]
• DreamWaltz: Make a Scene with Complex 3D Animatable AvatarsYukun Huang, Jianan Wang, Ailing Zeng, He Cao, Xianbiao Qi, Yukai Shi, Zheng-Jun Zha, Lei Zhang 0006. [doi]
• On the Size and Approximation Error of Distilled DatasetsAlaa Maalouf, Murad Tukan, Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus. [doi]
• Provable Advantage of Curriculum Learning on Parity Targets with Mixed InputsEmmanuel Abbe, Elisabetta Cornacchia, Aryo Lotfi. [doi]
• Data Market Design through Deep LearningSai Srivatsa Ravindranath, Yanchen Jiang, David C. Parkes. [doi]
• Optimizing over trained GNNs via symmetry breakingShiqiang Zhang, Juan S. Campos, Christian Feldmann, David Walz, Frederik Sandfort, Miriam Mathea, Calvin Tsay, Ruth Misener. [doi]
• Online Clustering of Bandits with Misspecified User ModelsZhiyong Wang, Jize Xie, Xutong Liu, Shuai Li, John C. S. Lui. [doi]
• Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion ModelsLitu Rout, Negin Raoof, Giannis Daras, Constantine Caramanis, Alex Dimakis, Sanjay Shakkottai. [doi]
• Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained RelationshipsAbhra Chaudhuri, Massimiliano Mancini, Zeynep Akata, Anjan Dutta 0001. [doi]
• VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive RepresentationZekun Qi, Muzhou Yu, Runpei Dong, Kaisheng Ma. [doi]
• SOC: Semantic-Assisted Object Cluster for Referring Video Object SegmentationZhuoyan Luo, Yicheng Xiao, Yong Liu, Shuyan Li, Yitong Wang, Yansong Tang, Xiu Li, Yujiu Yang. [doi]
• Large Language Models of Code Fail at Completing Code with Potential BugsTuan Dinh, Jinman Zhao, Samson Tan, Renato Negrinho, Leonard Lausen, Sheng Zha, George Karypis. [doi]
• Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion EstimationJia-Xing Zhong, Ta Ying Cheng, Yuhang He, Kai Lu, Kaichen Zhou, Andrew Markham, Niki Trigoni. [doi]
• -1.5) Complexity in Hessian/Jacobian-free Stochastic Bilevel OptimizationYifan Yang, Peiyao Xiao, Kaiyi Ji. [doi]
• Understanding Social Reasoning in Language Models with Language ModelsKanishk Gandhi, Jan-Philipp Fränken, Tobias Gerstenberg, Noah D. Goodman. [doi]
• DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain PackingYangtian Zhang, Zuobai Zhang, Bozitao Zhong, Sanchit Misra, Jian Tang 0005. [doi]
• Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential PrivacyAnastasia Koloskova, Ryan Mckenna, Zachary Charles, John Keith Rush, H. Brendan McMahan. [doi]
• LIMA: Less Is More for AlignmentChunting Zhou, Pengfei Liu, Puxin Xu, Srinivasan Iyer 0001, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, Lili Yu, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, Omer Levy. [doi]
• Fairness Aware Counterfactuals for SubgroupsLoukas Kavouras, Konstantinos Tsopelas, Giorgos Giannopoulos, Dimitris Sacharidis, Eleni Psaroudaki, Nikolaos Theologitis, Dimitrios Rontogiannis, Dimitris Fotakis 0001, Ioannis Z. Emiris. [doi]
• Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative MARLZhiwei Xu, Bin Zhang, Dapeng Li 0001, Guangchong Zhou, Zeren Zhang, Guoliang Fan. [doi]
• Unleashing the Full Potential of Product Quantization for Large-Scale Image RetrievalYu Liang, Shiliang Zhang, Li Ken Li, Xiaoyu Wang. [doi]
• Multi-task Graph Neural Architecture Search with Task-aware Collaboration and CurriculumYijian Qin, Xin Wang, Ziwei Zhang, Hong Chen, Wenwu Zhu 0001. [doi]
• New Bounds for Hyperparameter Tuning of Regression Problems Across InstancesMaria-Florina Balcan, Anh Nguyen, Dravyansh Sharma. [doi]
• ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image ClassificationMohammad Reza Taesiri, Giang Nguyen 0004, Sarra Habchi, Cor-Paul Bezemer, Anh Nguyen 0002. [doi]
• Constrained Policy Optimization with Explicit Behavior Density For Offline Reinforcement LearningJing Zhang, Chi Zhang, Wenjia Wang, Bingyi Jing. [doi]
• Fixing the NTK: From Neural Network Linearizations to Exact Convex ProgramsRajat Vadiraj Dwaraknath, Tolga Ergen, Mert Pilanci. [doi]
• Rehearsal Learning for Avoiding Undesired FutureTian Qin, Tian-Zuo Wang, Zhi-Hua Zhou. [doi]
• Weakly Supervised 3D Open-vocabulary SegmentationKunhao Liu, Fangneng Zhan, Jiahui Zhang, Muyu Xu, Yingchen Yu, Abdulmotaleb El-Saddik, Christian Theobalt, Eric P. Xing, Shijian Lu. [doi]
• Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA FeedbackJaskirat Singh, Liang Zheng 0001. [doi]
• Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion ModelsSimian Luo, Chuanhao Yan, Chenxu Hu, Hang Zhao. [doi]
• Double Auctions with Two-sided Bandit FeedbackSoumya Basu 0001, Abishek Sankararaman. [doi]
• Machine learning detects terminal singularitiesTom Coates, Alexander M. Kasprzyk, Sara Veneziale. [doi]
• Fragment-based Pretraining and Finetuning on Molecular GraphsKha-Dinh Luong, Ambuj K. Singh. [doi]
• Kronecker-Factored Approximate Curvature for Modern Neural Network ArchitecturesRuna Eschenhagen, Alexander Immer, Richard E. Turner, Frank Schneider 0001, Philipp Hennig. [doi]
• Language Is Not All You Need: Aligning Perception with Language ModelsShaohan Huang, Li Dong 0004, Wenhui Wang, Yaru Hao, Saksham Singhal, Shuming Ma, Tengchao Lv, Lei Cui 0001, Owais Khan Mohammed, Barun Patra, Qiang Liu, Kriti Aggarwal, Zewen Chi, Nils Johan Bertil Bjorck, Vishrav Chaudhary, Subhojit Som, Xia Song, Furu Wei. [doi]
• Outlier-Robust Gromov-Wasserstein for Graph DataLemin Kong, Jiajin Li, Jianheng Tang, Anthony Man-Cho So. [doi]
• Enhancing Knowledge Transfer for Task Incremental Learning with Data-free SubnetworkQiang Gao, Xiaojun Shan, Yuchen Zhang, Fan Zhou 0002. [doi]
• Pairwise Causality Guided Transformers for Event SequencesXiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P. Bennett. [doi]
• Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy ConcentrabilityHanlin Zhu, Amy Zhang. [doi]
• StyleGAN knows Normal, Depth, Albedo, and MoreAnand Bhattad, Daniel McKee, Derek Hoiem, David A. Forsyth. [doi]
• ConRad: Image Constrained Radiance Fields for 3D Generation from a Single ImageSenthil Purushwalkam, Nikhil Naik. [doi]
• Sample-efficient Multi-objective Molecular Optimization with GFlowNetsYiheng Zhu, Jialu Wu, Chaowen Hu, Jiahuan Yan, Chang-Yu Hsieh, Tingjun Hou, Jian Wu. [doi]
• Canonical normalizing flows for manifold learningKyriakos Flouris, Ender Konukoglu. [doi]
• Riemannian stochastic optimization methods avoid strict saddle pointsYa-Ping Hsieh, Mohammad Reza Karimi Jaghargh, Andreas Krause 0001, Panayotis Mertikopoulos. [doi]
• Smoothing the Landscape Boosts the Signal for SGD: Optimal Sample Complexity for Learning Single Index ModelsAlex Damian, Eshaan Nichani, Rong Ge 0001, Jason D. Lee. [doi]
• A Comprehensive Study on Text-attributed Graphs: Benchmarking and RethinkingHao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao 0002, Wenwen Zhuang, Jun Yin, Peiyan Zhang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Lichao Sun 0001, Xing Xie, Senzhang Wang. [doi]
• GenImage: A Million-Scale Benchmark for Detecting AI-Generated ImageMingjian Zhu, Hanting Chen, Qiangyu Yan, Xudong Huang, Guanyu Lin, Wei Li, Zhijun Tu, Hailin Hu 0002, Jie Hu, Yunhe Wang 0001. [doi]
• PoET: A generative model of protein families as sequences-of-sequencesTimothy F. Truong Jr., Tristan Bepler. [doi]
• Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape RepresentationHuizong Yang, Yuxin Sun, Ganesh Sundaramoorthi, Anthony J. Yezzi. [doi]
• Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small ScorerBowen Tan, Yun Zhu, Lijuan Liu, Eric P. Xing, Zhiting Hu, Jindong Chen. [doi]
• GLOBER: Coherent Non-autoregressive Video Generation via GLOBal Guided Video DecodERMingzhen Sun, Weining Wang, Zihan Qin, Jiahui Sun, Sihan Chen, Jing Liu. [doi]
• Paxion: Patching Action Knowledge in Video-Language Foundation ModelsZhenhailong Wang, Ansel Blume, Sha Li, Genglin Liu, Jaemin Cho 0001, Zineng Tang, Mohit Bansal, Heng Ji. [doi]
• Scale-Space Hypernetworks for Efficient Biomedical Image AnalysisJose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca. [doi]
• Achieving Cross Modal Generalization with Multimodal Unified RepresentationYan Xia, Hai Huang, Jieming Zhu, Zhou Zhao. [doi]
• Perturbation Towards Easy Samples Improves Targeted Adversarial TransferabilityJunqi Gao, Biqing Qi, Yao Li, Zhichang Guo, Dong Li, Yuming Xing, Dazhi Zhang. [doi]
• AiluRus: A Scalable ViT Framework for Dense PredictionJin Li, Yaoming Wang, Xiaopeng Zhang, Bowen Shi, Dongsheng Jiang, Chenglin Li, Wenrui Dai, Hongkai Xiong, Qi Tian. [doi]
• The Simplicity Bias in Multi-Task RNNs: Shared Attractors, Reuse of Dynamics, and Geometric RepresentationElia Turner, Omri Barak. [doi]
• SODA: Robust Training of Test-Time Data AdaptorsZige Wang, Yonggang Zhang, Zhen Fang, Long Lan, Wenjing Yang 0002, Bo Han 0003. [doi]
• In-Context Impersonation Reveals Large Language Models' Strengths and BiasesLeonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz, Zeynep Akata. [doi]
• Parallel-mentoring for Offline Model-based OptimizationCan Chen, Christopher Beckham, Zixuan Liu, Xue (Steve) Liu, Chris Pal. [doi]
• Spatial-frequency channels, shape bias, and adversarial robustnessAjay Subramanian, Elena Sizikova, Najib J. Majaj, Denis G. Pelli. [doi]
• Learning Multi-agent Behaviors from Distributed and Streaming DemonstrationsShicheng Liu, Minghui Zhu. [doi]
• Neuro-symbolic Learning Yielding Logical ConstraintsZenan Li, Yunpeng Huang, Zhaoyu Li, Yuan Yao, Jingwei Xu 0001, Taolue Chen, Xiaoxing Ma, Jian Lu 0001. [doi]
• Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming ApproachFabian Zaiser, Andrzej S. Murawski, Chih-Hao Luke Ong. [doi]
• Compressed Video Prompt TuningBing Li, Jiaxin Chen, Xiuguo Bao, Di Huang 0001. [doi]
• Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated AgentsNika Haghtalab, Chara Podimata, Kunhe Yang. [doi]
• Brain encoding models based on multimodal transformers can transfer across language and visionJerry Tang, Meng Du, Vy A. Vo, Vasudev Lal, Alexander Huth. [doi]
• Energy TransformerBenjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov. [doi]
• A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point ProcessJiayu Chen, Vaneet Aggarwal, Tian Lan. [doi]
• Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and AdaptationYilin Lyu, Liyuan Wang, Xingxing Zhang, Zicheng Sun, Hang Su, Jun Zhu, Liping Jing. [doi]
• Tree of Thoughts: Deliberate Problem Solving with Large Language ModelsShunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Tom Griffiths 0001, Yuan Cao 0007, Karthik Narasimhan. [doi]
• On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law DecayYicheng Li, Haobo Zhang, Qian Lin. [doi]
• Exploring Diverse In-Context Configurations for Image CaptioningXu Yang, Yongliang Wu, Mingzhuo Yang, Haokun Chen, Xin Geng 0001. [doi]
• SimMMDG: A Simple and Effective Framework for Multi-modal Domain GeneralizationHao Dong, Ismail Nejjar, Han Sun, Eleni N. Chatzi, Olga Fink. [doi]
• Conservative State Value Estimation for Offline Reinforcement LearningLiting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin, Saravanakumar Rajmohan, Thomas Moscibroda, Dongmei Zhang. [doi]
• Have it your way: Individualized Privacy Assignment for DP-SGDFranziska Boenisch, Christopher Mühl, Adam Dziedzic, Roy Rinberg, Nicolas Papernot. [doi]
• Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural NetworksZiyi Huang, Henry Lam, Haofeng Zhang. [doi]
• Equivariant flow matchingLeon Klein, Andreas Krämer, Frank Noé. [doi]
• D4Explainer: In-distribution Explanations of Graph Neural Network via Discrete Denoising DiffusionJialin Chen, Shirley Wu, Abhijit Gupta, Rex Ying. [doi]
• REFINE: A Fine-Grained Medication Recommendation System Using Deep Learning and Personalized Drug Interaction ModelingSuman Bhoi, Mong-Li Lee, Wynne Hsu, Ngiap Chuan Tan. [doi]
• SceneScape: Text-Driven Consistent Scene GenerationRafail Fridman, Amit Abecasis, Yoni Kasten, Tali Dekel. [doi]
• Strategic Classification under Unknown Personalized ManipulationHan Shao, Avrim Blum, Omar Montasser. [doi]
• Better Correlation and Robustness: A Distribution-Balanced Self-Supervised Learning Framework for Automatic Dialogue EvaluationPeiwen Yuan, Xinglin Wang, Jiayi Shi, Bin Sun, Yiwei Li. [doi]
• Improving the Knowledge Gradient AlgorithmLe Yang, Siyang Gao, Chin Pang Ho. [doi]
• PUe: Biased Positive-Unlabeled Learning Enhancement by Causal InferenceXutao Wang, Hanting Chen, Tianyu Guo 0001, Yunhe Wang 0001. [doi]
• COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text PairsTiep Le, Vasudev Lal, Phillip Howard. [doi]
• Segment Anything in 3D with NeRFsJiazhong Cen, Zanwei Zhou, Jiemin Fang, Chen Yang 0023, Wei Shen 0002, Lingxi Xie, Dongsheng Jiang, Xiaopeng Zhang, Qi Tian 0001. [doi]
• Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative ModelLuning Sun, Xu Han 0012, Han Gao 0005, Jian-Xun Wang 0001, Liping Liu 0001. [doi]
• A General Framework for Robust G-Invariance in G-Equivariant NetworksSophia Sanborn, Nina Miolane. [doi]
• SafeDICE: Offline Safe Imitation Learning with Non-Preferred DemonstrationsYoungsoo Jang, Geon-hyeong Kim, Jongmin Lee, Sungryull Sohn, Byoungjip Kim, Honglak Lee, Moontae Lee. [doi]
• Functional Equivalence and Path Connectivity of Reducible Hyperbolic Tangent NetworksMatthew Farrugia-Roberts. [doi]
• A Comprehensive Benchmark for Neural Human Radiance FieldsKenkun Liu, Derong Jin, Ailing Zeng, Xiaoguang Han 0001, Lei Zhang. [doi]
• Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity ModelValentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel. [doi]
• Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive NetworksEeshaan Jain, Tushar Nandy, Gaurav Aggarwal, Ashish Tendulkar, Rishabh K. Iyer, Abir De. [doi]
• Unlocking Feature Visualization for Deep Network with MAgnitude Constrained OptimizationThomas Fel, Thibaut Boissin, Victor Boutin, Agustin Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Rémi Cadène, Lore Goetschalckx, Laurent Gardes, Thomas Serre. [doi]
• LightSpeed: Light and Fast Neural Light Fields on Mobile DevicesAarush Gupta, Junli Cao, Chaoyang Wang, Ju Hu, Sergey Tulyakov, Jian Ren, László A. Jeni. [doi]
• How do Minimum-Norm Shallow Denoisers Look in Function Space?Chen Zeno, Greg Ongie, Yaniv Blumenfeld, Nir Weinberger, Daniel Soudry. [doi]
• RRHF: Rank Responses to Align Language Models with Human FeedbackHongyi Yuan, Zheng Yuan, Chuanqi Tan, Wei Wang, Songfang Huang, Fei Huang. [doi]
• QLoRA: Efficient Finetuning of Quantized LLMsTim Dettmers, Artidoro Pagnoni, Ari Holtzman, Luke Zettlemoyer. [doi]
• Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer BehaviorShashank Subramanian, Peter Harrington, Kurt Keutzer, Wahid Bhimji, Dmitriy Morozov, Michael W. Mahoney, Amir Gholami. [doi]
• Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion ModelsShihao Zhao, Dongdong Chen 0001, Yen-Chun Chen 0001, Jianmin Bao, Shaozhe Hao, Lu Yuan, Kwan-Yee K. Wong. [doi]
• CEIL: Generalized Contextual Imitation LearningJinxin Liu, Li He, Yachen Kang, Zifeng Zhuang, Donglin Wang, Huazhe Xu. [doi]
• Low Tensor Rank Learning of Neural DynamicsArthur Pellegrino, N. Alex Cayco-Gajic, Angus Chadwick. [doi]
• Dynamic Personalized Federated Learning with Adaptive Differential PrivacyXiyuan Yang, Wenke Huang, Mang Ye. [doi]
• IDEA: An Invariant Perspective for Efficient Domain Adaptive Image RetrievalHaixin Wang, Hao Wu, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua 0001, Xiao Luo. [doi]
• GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time AugmentationMingxuan Ju, Tong Zhao 0003, Wenhao Yu 0002, Neil Shah, Yanfang Ye 0001. [doi]
• Streaming Algorithms and Lower Bounds for Estimating Correlation Clustering CostSepehr Assadi, Vihan Shah, Chen Wang. [doi]
• GPT4Tools: Teaching Large Language Model to Use Tools via Self-instructionRui Yang, Lin Song, Yanwei Li, Sijie Zhao, Yixiao Ge, Xiu Li, Ying Shan. [doi]
• Training Your Image Restoration Network Better with Random Weight Network as Optimization FunctionMan Zhou, Naishan Zheng, Yuan Xu, Chun-Le Guo, Chongyi Li. [doi]
• On the Role of Entanglement and Statistics in LearningSrinivasan Arunachalam, Vojtech Havlícek, Louis Schatzki. [doi]
• Adapting Fairness Interventions to Missing ValuesRaymond Feng, Flávio Calmon, Hao Wang. [doi]
• On the Overlooked Structure of Stochastic GradientsZeke Xie, Qian-Yuan Tang, Mingming Sun, Ping Li 0001. [doi]
• RoboCLIP: One Demonstration is Enough to Learn Robot PoliciesSumedh Sontakke, Jesse Zhang, Sébastien M. R. Arnold, Karl Pertsch, Erdem Biyik, Dorsa Sadigh, Chelsea Finn, Laurent Itti. [doi]
• Efficient Online Clustering with Moving CostsDimitrios Christou, Stratis Skoulakis, Volkan Cevher. [doi]
• On Convergence of Polynomial Approximations to the Gaussian Mixture EntropyCaleb Dahlke, Jason Pacheco. [doi]
• Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer LearningYihua Zhang, Yimeng Zhang, Aochuan Chen, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Mingyi Hong, Shiyu Chang, Sijia Liu 0001. [doi]
• Facilitating Graph Neural Networks with Random Walk on Simplicial ComplexesCai Zhou, Xiyuan Wang, Muhan Zhang. [doi]
• Creating a Public Repository for Joining Private DataJames Cook, Milind Shyani, Nina Mishra. [doi]
• Iteratively Learn Diverse Strategies with State Distance InformationWei Fu, Weihua Du, Jingwei Li, Sunli Chen, Jingzhao Zhang, Yi Wu. [doi]
• Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied AgentsWenlong Huang, Fei Xia, Dhruv Shah, Danny Driess, Andy Zeng, Yao Lu, Pete Florence, Igor Mordatch, Sergey Levine, Karol Hausman, Brian Ichter. [doi]
• ClimateLearn: Benchmarking Machine Learning for Weather and Climate ModelingTung Nguyen, Jason Jewik, Hritik Bansal, Prakhar Sharma, Aditya Grover. [doi]
• Improving multimodal datasets with image captioningThao Nguyen, Samir Yitzhak Gadre, Gabriel Ilharco, Sewoong Oh, Ludwig Schmidt. [doi]
• What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasksTaicheng Guo, Kehan Guo, Bozhao Nan, Zhenwen Liang, Zhichun Guo, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang 0001. [doi]
• From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine ReaderWeiwen Xu, Xin Li, Wenxuan Zhang, Meng Zhou, Wai Lam, Luo Si, Lidong Bing. [doi]
• Operator Learning with Neural Fields: Tackling PDEs on General GeometriesLouis Serrano, Lise Le Boudec, Armand Kassaï Koupaï, Thomas X. Wang, Yuan Yin, Jean-Noël Vittaut, Patrick Gallinari. [doi]
• Self-Chained Image-Language Model for Video Localization and Question AnsweringShoubin Yu, Jaemin Cho 0001, Prateek Yadav, Mohit Bansal. [doi]
• Saving 100x Storage: Prototype Replay for Reconstructing Training Sample Distribution in Class-Incremental Semantic SegmentationJinpeng Chen, Runmin Cong, Yuxuan Luo, Horace H. S. Ip, Sam Kwong. [doi]
• FlowPG: Action-constrained Policy Gradient with Normalizing FlowsJanaka Chathuranga Brahmanage, Jiajing Ling, Akshat Kumar. [doi]
• Extracting Reward Functions from Diffusion ModelsFelipe Nuti, Tim Franzmeyer, João F. Henriques. [doi]
• Implicit variance regularization in non-contrastive SSLManu Srinath Halvagal, Axel Laborieux, Friedemann Zenke. [doi]
• Adversarial Learning for Feature Shift Detection and CorrectionMíriam Barrabés, Daniel Mas Montserrat, Margarita Geleta, Xavier Giró i Nieto, Alexander G. Ioannidis. [doi]
• Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical DynamicsLiming Wu, Zhichao Hou, Jirui Yuan, Yu Rong, Wenbing Huang 0001. [doi]
• Posthoc privacy guarantees for collaborative inference with modified Propose-Test-ReleaseAbhishek Singh 0005, Praneeth Vepakomma, Vivek Sharma 0001, Ramesh Raskar. [doi]
• A Multi-modal Global Instance Tracking Benchmark (MGIT): Better Locating Target in Complex Spatio-temporal and Causal RelationshipShiyu Hu, Dailing Zhang, Meiqi Wu, Xiaokun Feng, Xuchen Li, Xin Zhao, Kaiqi Huang. [doi]
• EDGI: Equivariant Diffusion for Planning with Embodied AgentsJohann Brehmer, Joey Bose, Pim de Haan, Taco S. Cohen. [doi]
• Provably Safe Reinforcement Learning with Step-wise Violation ConstraintsNuoya Xiong, Yihan Du, Longbo Huang. [doi]
• UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion ModelsWenliang Zhao, Lujia Bai, Yongming Rao, Jie Zhou 0001, Jiwen Lu. [doi]
• Multi-Agent Learning with Heterogeneous Linear Contextual BanditsAnh Do, Thanh Nguyen-Tang, Raman Arora. [doi]
• A*Net: A Scalable Path-based Reasoning Approach for Knowledge GraphsZhaocheng Zhu, Xinyu Yuan, Michael Galkin, Louis-Pascal A. C. Xhonneux, Ming Zhang 0004, Maxime Gazeau, Jian Tang 0005. [doi]
• Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 TricksRyan Sullivan, Akarsh Kumar, Shengyi Huang, John P. Dickerson, Joseph Suarez. [doi]
• Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent LearningJoseph Suarez, David Bloomin, Kyoung Whan Choe, Hao Xiang Li, Ryan Sullivan, Nishaanth Kanna, Daniel Scott, Rose S. Shuman, Herbie Bradley, Louis Castricato, Phillip Isola, ChengHui Yu, Yuhao Jiang, Qimai Li, Jiaxin Chen, Xiaolong Zhu. [doi]
• Near-optimal learning with average Hölder smoothnessGuy Kornowski, Steve Hanneke, Aryeh Kontorovich. [doi]
• History Filtering in Imperfect Information Games: Algorithms and ComplexityChristopher Solinas, Douglas Rebstock, Nathan R. Sturtevant, Michael Buro. [doi]
• The Distortion of Binomial Voting Defies ExpectationYannai A. Gonczarowski, Gregory Kehne, Ariel D. Procaccia, Ben Schiffer, Shirley Zhang. [doi]
• Agnostic Multi-Group Active LearningNicholas Rittler, Kamalika Chaudhuri. [doi]
• Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement LearningZih-Yun Chiu, Yi-Lin Tuan, William Yang Wang, Michael C. Yip. [doi]
• Training Fully Connected Neural Networks is ∃R-CompleteDaniel Bertschinger, Christoph Hertrich, Paul Jungeblut, Tillmann Miltzow, Simon Weber 0001. [doi]
• Large Language Models are Fixated by Red Herrings: Exploring Creative Problem Solving and Einstellung Effect using the Only Connect Wall DatasetSaeid Alavi Naeini, Raeid Saqur, Mozhgan Saeidi, John Giorgi, Babak Taati. [doi]
• Restless Bandits with Average Reward: Breaking the Uniform Global Attractor AssumptionYige Hong, Qiaomin Xie, Yudong Chen 0001, Weina Wang 0001. [doi]
• Relative Entropic Optimal Transport: a (Prior-aware) Matching Perspective to (Unbalanced) ClassificationLiangliang Shi, Haoyu Zhen, Gu Zhang, Junchi Yan. [doi]
• Time-Reversed Dissipation Induces Duality Between Minimizing Gradient Norm and Function ValueJaeyeon Kim, Asuman E. Ozdaglar, Chanwoo Park, Ernest K. Ryu. [doi]
• Grounding Neural Inference with Satisfiability Modulo TheoriesZifan Wang, Saranya Vijayakumar, Kaiji Lu, Vijay Ganesh, Somesh Jha, Matt Fredrikson. [doi]
• CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision ModelsDenis Kuznedelev, Eldar Kurtic, Elias Frantar, Dan Alistarh. [doi]
• CAPro: Webly Supervised Learning with Cross-modality Aligned PrototypesYulei Qin, Xingyu Chen, Yunhang Shen, Chaoyou Fu, Yun Gu, Ke Li, Xing Sun, Rongrong Ji. [doi]
• Faster Query Times for Fully Dynamic k-Center Clustering with OutliersLeyla Biabani, Annika Hennes, Morteza Monemizadeh, Melanie Schmidt 0001. [doi]
• Label Correction of Crowdsourced Noisy Annotations with an Instance-Dependent Noise Transition ModelHui Guo, Boyu Wang, Grace Yi. [doi]
• Accelerating Monte Carlo Tree Search with Probability Tree State AbstractionYangqing Fu, Ming Sun, Buqing Nie, Yue Gao 0005. [doi]
• Adversarial Resilience in Sequential Prediction via AbstentionSurbhi Goel, Steve Hanneke, Shay Moran, Abhishek Shetty. [doi]
• Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language ModelsGen Luo, Yiyi Zhou, Tianhe Ren, Shengxin Chen, Xiaoshuai Sun, Rongrong Ji. [doi]
• Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic NetworksAlexander Modell, Ian Gallagher, Emma Ceccherini, Nick Whiteley, Patrick Rubin-Delanchy. [doi]
• Efficient Exploration in Continuous-time Model-based Reinforcement LearningLenart Treven, Jonas Hübotter, Bhavya Sukhija, Florian Dörfler, Andreas Krause 0001. [doi]
• Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale MixturesHamish Flynn, David Reeb, Melih Kandemir, Jan R. Peters. [doi]
• A Fractional Graph Laplacian Approach to OversmoothingSohir Maskey, Raffaele Paolino, Aras Bacho, Gitta Kutyniok. [doi]
• Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion ModelsZhong Yi Wan, Ricardo Baptista, Anudhyan Boral, Yi-Fan Chen, John Anderson, Fei Sha, Leonardo Zepeda-Núñez. [doi]
• Revisiting Area Convexity: Faster Box-Simplex Games and Spectrahedral GeneralizationsArun Jambulapati, Kevin Tian. [doi]
• UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error DecompositionYuyuan Li, Chaochao Chen, Yizhao Zhang, Weiming Liu 0005, Lingjuan Lyu, Xiaolin Zheng, Dan Meng, Jun Wang 0020. [doi]
• Experimental Designs for Heteroskedastic VarianceJustin Weltz, Tanner Fiez, Alexander Volfovsky, Eric Laber, Blake Mason, Houssam Nassif, Lalit Jain. [doi]
• Riemannian Laplace approximations for Bayesian neural networksFederico Bergamin, Pablo Moreno-Muñoz, Søren Hauberg, Georgios Arvanitidis. [doi]
• Lung250M-4B: A Combined 3D Dataset for CT- and Point Cloud-Based Intra-Patient Lung RegistrationFenja Falta, Christoph Großbröhmer, Alessa Hering, Alexander Bigalke, Mattias P. Heinrich. [doi]
• Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level BehaviorAdam Block, Ali Jadbabaie, Daniel Pfrommer, Max Simchowitz, Russ Tedrake. [doi]
• Sampling weights of deep neural networksErik Lien Bolager, Iryna Burak, Chinmay Datar, Qing Sun, Felix Dietrich. [doi]
• Continuous Parametric Optical FlowJianqin Luo, Zhexiong Wan, Yuxin Mao, Bo Li, Yuchao Dai. [doi]
• Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious FeaturesCian Eastwood, Shashank Singh 0011, Andrei Liviu Nicolicioiu, Marin Vlastelica Pogancic, Julius von Kügelgen, Bernhard Schölkopf. [doi]
• Is Learning in Games Good for the Learners?William Brown, Jon Schneider, Kiran Vodrahalli. [doi]
• Sketchy: Memory-efficient Adaptive Regularization with Frequent DirectionsVladimir Feinberg, Xinyi Chen, Y. Jennifer Sun, Rohan Anil, Elad Hazan. [doi]
• Spatially Resolved Gene Expression Prediction from Histology Images via Bi-modal Contrastive LearningRonald Xie, Kuan Pang, Sai Chung, Catia Perciani, Sonya MacParland, Bo Wang, Gary D. Bader. [doi]
• Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial InformationArman Zharmagambetov, Brandon Amos, Aaron M. Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian. [doi]
• Harnessing Hard Mixed Samples with Decoupled RegularizerZicheng Liu 0006, Siyuan Li, Ge Wang, Lirong Wu, Cheng Tan 0012, Stan Z. Li. [doi]
• MARBLE: Music Audio Representation Benchmark for Universal EvaluationRuibin Yuan, Yinghao Ma, Yizhi Li, Ge Zhang, Xingran Chen, Hanzhi Yin, Le Zhuo, Yiqi Liu, Jiawen Huang, Zeyue Tian, Binyue Deng, Ningzhi Wang, Chenghua Lin, Emmanouil Benetos, Anton Ragni, Norbert Gyenge, Roger B. Dannenberg, Wenhu Chen, Gus Xia, Wei Xue, Si Liu, Shi Wang, Ruibo Liu, Yike Guo, Jie Fu. [doi]
• CMMA: Benchmarking Multi-Affection Detection in Chinese Multi-Modal ConversationsYazhou Zhang, Yang Yu, Qing Guo, Benyou Wang, Dongming Zhao, Sagar Uprety, Dawei Song 0001, Qiuchi Li, Jing Qin. [doi]
• Sample based Explanations via Generalized RepresentersChe-Ping Tsai, Chih-Kuan Yeh, Pradeep Ravikumar. [doi]
• GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without LabelsXin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou 0001, Shirui Pan. [doi]
• FiGURe: Simple and Efficient Unsupervised Node Representations with Filter AugmentationsChanakya Ekbote, Ajinkya Pankaj Deshpande, Arun Iyer, Sundararajan Sellamanickam, Ramakrishna Bairi. [doi]
• Towards Robust and Expressive Whole-body Human Pose and Shape EstimationHui En Pang, Zhongang Cai, Lei Yang, Qingyi Tao, Zhonghua Wu, Tianwei Zhang 0004, Ziwei Liu. [doi]
• WildfireSpreadTS: A dataset of multi-modal time series for wildfire spread predictionSebastian Gerard, Yu Zhao, Josephine Sullivan. [doi]
• Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function ApproximationGuojun Xiong, Jian Li. [doi]
• Diffusion Representation for Asymmetric Kernels via Magnetic TransformMingzhen He, Fan He, Ruikai Yang, Xiaolin Huang. [doi]
• Variational Monte Carlo on a Budget - Fine-tuning pre-trained Neural WavefunctionsMichael Scherbela, Leon Gerard, Philipp Grohs. [doi]
• Block Low-Rank Preconditioner with Shared Basis for Stochastic OptimizationJui-Nan Yen, Sai Surya Duvvuri, Inderjit S. Dhillon, Cho-Jui Hsieh. [doi]
• Training biologically plausible recurrent neural networks on cognitive tasks with long-term dependenciesWayne Soo, Vishwa Goudar, Xiao-Jing Wang. [doi]
• ReContrast: Domain-Specific Anomaly Detection via Contrastive ReconstructionJia Guo, Shuai Lu 0003, Lize Jia, Weihang Zhang, Huiqi Li. [doi]
• Prototype-based Aleatoric Uncertainty Quantification for Cross-modal RetrievalHao Li, Jingkuan Song, Lianli Gao, Xiaosu Zhu, Hengtao Shen. [doi]
• Offline Minimax Soft-Q-learning Under Realizability and Partial CoverageMasatoshi Uehara, Nathan Kallus, Jason D. Lee, Wen Sun 0002. [doi]
• Joint processing of linguistic properties in brains and language modelsSubba Reddy Oota, Manish Gupta 0001, Mariya Toneva. [doi]
• Combating Bilateral Edge Noise for Robust Link PredictionZhanke Zhou, Jiangchao Yao, Jiaxu Liu, Xiawei Guo, Quanming Yao, Li He, Liang Wang, Bo Zheng 0007, Bo Han 0003. [doi]
• Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement LearningGen Li 0005, Wenhao Zhan, Jason D. Lee, Yuejie Chi, Yuxin Chen 0002. [doi]
• Federated Conditional Stochastic OptimizationXidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang. [doi]
• A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic CorrespondenceJunyi Zhang, Charles Herrmann, Junhwa Hur, Luisa Polania Cabrera, Varun Jampani, Deqing Sun, Ming-Hsuan Yang 0001. [doi]
• The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable ImportanceJon Donnelly, Srikar Katta, Cynthia Rudin, Edward P. Browne. [doi]
• Into the Single Cell Multiverse: an End-to-End Dataset for Procedural Knowledge Extraction in Biomedical TextsRuth Dannenfelser, Jeffrey Zhong, Ran Zhang, Vicky Yao. [doi]
• Optimized Covariance Design for AB Test on Social Network under InterferenceQianyi Chen, Bo Li, Lu Deng, Yong Wang. [doi]
• Explain Any Concept: Segment Anything Meets Concept-Based ExplanationAo Sun, Pingchuan Ma 0004, Yuanyuan Yuan, Shuai Wang. [doi]
• Three Towers: Flexible Contrastive Learning with Pretrained Image ModelsJannik Kossen, Mark Collier, Basil Mustafa, Xiao Wang, Xiaohua Zhai, Lucas Beyer, Andreas Steiner, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou. [doi]
• Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous DrivingXiaoyu Tian, Tao Jiang, Longfei Yun, Yucheng Mao, Huitong Yang, Yue Wang, Yilun Wang, Hang Zhao. [doi]
• Learning Descriptive Image Captioning via Semipermeable Maximum Likelihood EstimationZihao Yue, Anwen Hu, Liang Zhang, Qin Jin. [doi]
• Inference-Time Intervention: Eliciting Truthful Answers from a Language ModelKenneth Li 0002, Oam Patel, Fernanda B. Viégas, Hanspeter Pfister, Martin Wattenberg. [doi]
• Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent RepresentationZibo Zhao, Wen Liu, Xin Chen, Xianfang Zeng, Rui Wang, Pei Cheng, Bin Fu, Tao Chen, Gang Yu, Shenghua Gao. [doi]
• On the Exploration of Local Significant Differences For Two-Sample TestZhijian Zhou, Jie Ni, Jia-He Yao, Wei Gao. [doi]
• Neural Sculpting: Uncovering hierarchically modular task structure in neural networks through pruning and network analysisShreyas Malakarjun Patil, Loizos Michael, Constantine Dovrolis. [doi]
• ReDS: Offline RL With Heteroskedastic Datasets via Support ConstraintsAnikait Singh, Aviral Kumar, Quan Vuong, Yevgen Chebotar, Sergey Levine. [doi]
• Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive FusionYash Bhalgat, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman. [doi]
• Causal Discovery from Subsampled Time Series with Proxy VariablesMingzhou Liu, Xinwei Sun 0001, Lingjing Hu, Yizhou Wang 0001. [doi]
• Quilt-1M: One Million Image-Text Pairs for HistopathologyWisdom Oluchi Ikezogwo, Mehmet Saygin Seyfioglu, Fatemeh Ghezloo, Dylan Stefan Chan Geva, Fatwir Sheikh Mohammed, Pavan Kumar Anand, Ranjay Krishna, Linda G. Shapiro. [doi]
• Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational AutoencoderMichael Bereket, Theofanis Karaletsos. [doi]
• Goal-Conditioned Predictive Coding for Offline Reinforcement LearningZilai Zeng, Ce Zhang 0010, Shijie Wang, Chen Sun 0009. [doi]
• Learning Dense Flow Field for Highly-accurate Cross-view Camera LocalizationZhenbo Song, Xianghui Ze, Jianfeng Lu, Yujiao Shi. [doi]
• GlyphControl: Glyph Conditional Control for Visual Text GenerationYukang Yang, Dongnan Gui, Yuhui Yuan, Weicong Liang, Haisong Ding, Han Hu, Kai Chen 0001. [doi]
• DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank CorrelationKaipeng Zheng, Huishuai Zhang, Weiran Huang 0001. [doi]
• UP-NeRF: Unconstrained Pose Prior-Free Neural Radiance FieldInjae Kim, Minhyuk Choi, Hyunwoo J. Kim. [doi]
• Segment Any Point Cloud Sequences by Distilling Vision Foundation ModelsYouquan Liu, Lingdong Kong, Jun Cen, Runnan Chen, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu. [doi]
• Towards Label Position Bias in Graph Neural NetworksHaoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu C. Aggarwal, Jiliang Tang. [doi]
• Balanced Training for Sparse GANsYite Wang, Jing Wu, Naira Hovakimyan, Ruoyu Sun 0001. [doi]
• Feature Dropout: Revisiting the Role of Augmentations in Contrastive LearningAlex Tamkin, Margalit Glasgow, Xiluo He, Noah D. Goodman. [doi]
• Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian OptimizationKamil Dreczkowski, Antoine Grosnit, Haitham Bou-Ammar. [doi]
• Additive Decoders for Latent Variables Identification and Cartesian-Product ExtrapolationSébastien Lachapelle, Divyat Mahajan, Ioannis Mitliagkas, Simon Lacoste-Julien. [doi]
• Efficient Hyper-parameter Optimization with Cubic RegularizationZhenqian Shen, Hansi Yang, Yong Li, James T. Kwok, Quanming Yao. [doi]
• Towards Last-layer Retraining for Group Robustness with Fewer AnnotationsTyler Labonte, Vidya Muthukumar, Abhishek Kumar 0001. [doi]
• StateMask: Explaining Deep Reinforcement Learning through State MaskZelei Cheng, Xian Wu, Jiahao Yu, Wenhai Sun, Wenbo Guo 0002, Xinyu Xing. [doi]
• FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph PerspectiveKun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu. [doi]
• When are ensembles really effective?Ryan Theisen, Hyunsuk Kim, Yaoqing Yang, Liam Hodgkinson, Michael W. Mahoney. [doi]
• Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image RestorationTheo Adrai, Guy Ohayon, Michael Elad, Tomer Michaeli. [doi]
• Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal TransformerNamkyeong Lee, Heewoong Noh, Sungwon Kim 0002, Dongmin Hyun, Gyoung S. Na, Chanyoung Park. [doi]
• VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained ModelsZiyi Yin 0003, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma. [doi]
• Simultaneous embedding of multiple attractor manifolds in a recurrent neural network using constrained gradient optimizationHaggai Agmon, Yoram Burak. [doi]
• Granger Components Analysis: Unsupervised learning of latent temporal dependenciesJacek Dmochowski. [doi]
• TD Convergence: An Optimization PerspectiveKavosh Asadi, Shoham Sabach, Yao Liu 0009, Omer Gottesman, Rasool Fakoor. [doi]
• Convergence Analysis of Sequential Federated Learning on Heterogeneous DataYipeng Li, Xinchen Lyu. [doi]
• On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling and BeyondThanh Nguyen-Tang, Raman Arora. [doi]
• ResMem: Learn what you can and memorize the restZitong Yang, Michal Lukasik, Vaishnavh Nagarajan, Zonglin Li, Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Sanjiv Kumar. [doi]
• RevColV2: Exploring Disentangled Representations in Masked Image ModelingQi Han, Yuxuan Cai, Xiangyu Zhang. [doi]
• NuTrea: Neural Tree Search for Context-guided Multi-hop KGQAHyeong Kyu Choi, Seunghun Lee, Jaewon Chu, Hyunwoo J. Kim. [doi]
• The Grand Illusion: The Myth of Software Portability and Implications for ML ProgressFraser Mince, Dzung Dinh, Jonas Kgomo, Neil Thompson, Sara Hooker. [doi]
• Stable and low-precision training for large-scale vision-language modelsMitchell Wortsman, Tim Dettmers, Luke Zettlemoyer, Ari Morcos, Ali Farhadi, Ludwig Schmidt. [doi]
• Closing the gap between the upper bound and lower bound of Adam's iteration complexityBohan Wang, Jingwen Fu, Huishuai Zhang, Nanning Zheng 0001, Wei Chen 0034. [doi]
• ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and ModelingQuanyi Li, Zhenghao Mark Peng, Lan Feng, Zhizheng Liu, Chenda Duan, Wenjie Mo, Bolei Zhou. [doi]
• Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text CommunicationChaofei Fan, Nick Hahn, Foram Kamdar, Donald T. Avansino, Guy H. Wilson, Leigh R. Hochberg, Krishna V. Shenoy, Jaimie M. Henderson, Francis R. Willett. [doi]
• Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond 1+α MomentsTrung Dang, Jasper C. H. Lee, Maoyuan Raymond Song, Paul Valiant. [doi]
• Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit FeedbackYang Cai 0001, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng. [doi]
• Double Gumbel Q-LearningDavid Yu-Tung Hui, Aaron C. Courville, Pierre-Luc Bacon. [doi]
• CamoPatch: An Evolutionary Strategy for Generating Camoflauged Adversarial PatchesPhoenix Williams, Ke Li. [doi]
• DISCS: A Benchmark for Discrete SamplingKatayoon Goshvadi, Haoran Sun, Xingchao Liu, Azade Nova, Ruqi Zhang, Will Grathwohl, Dale Schuurmans, Hanjun Dai. [doi]
• LuminAIRe: Illumination-Aware Conditional Image Repainting for Lighting-Realistic GenerationJiajun Tang, Haofeng Zhong, Shuchen Weng, Boxin Shi. [doi]
• Interpretable and Explainable Logical Policies via Neurally Guided Symbolic AbstractionQuentin Delfosse, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting. [doi]
• Semantic HELM: A Human-Readable Memory for Reinforcement LearningFabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter. [doi]
• Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of DemonstrationsGuanren Qiao, Guiliang Liu, Pascal Poupart, Zhiqiang Xu. [doi]
• Stable Diffusion is UnstableChengbin Du, Yanxi Li 0001, Zhongwei Qiu, Chang Xu 0002. [doi]
• Precise asymptotic generalization for multiclass classification with overparameterized linear modelsDavid X. Wu, Anant Sahai. [doi]
• Model-Based Reparameterization Policy Gradient Methods: Theory and Practical AlgorithmsShenao Zhang, Boyi Liu, Zhaoran Wang 0001, Tuo Zhao. [doi]
• Augmentation-Aware Self-Supervision for Data-Efficient GAN TrainingLiang Hou, Qi Cao, Yige Yuan, Songtao Zhao, Chongyang Ma, Siyuan Pan, Pengfei Wan, Zhongyuan Wang, Huawei Shen, Xueqi Cheng. [doi]
• FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent SpaceShengzhong Liu, Tomoyoshi Kimura, Dongxin Liu, Ruijie Wang 0004, Jinyang Li 0004, Suhas N. Diggavi, Mani B. Srivastava, Tarek F. Abdelzaher. [doi]
• A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective LearningNika Haghtalab, Michael I. Jordan, Eric Zhao 0003. [doi]
• A Smooth Binary Mechanism for Efficient Private Continual ObservationJoel Daniel Andersson, Rasmus Pagh. [doi]
• Joint Training of Deep Ensembles Fails Due to Learner CollusionAlan Jeffares, Tennison Liu, Jonathan Crabbé, Mihaela van der Schaar. [doi]
• Towards Self-Interpretable Graph-Level Anomaly DetectionYixin Liu, Kaize Ding, Qinghua Lu 0001, Fuyi Li, Leo Yu Zhang, Shirui Pan. [doi]
• Human-like Few-Shot Learning via Bayesian Reasoning over Natural LanguageKevin Ellis. [doi]
• Fast Attention Requires Bounded EntriesJosh Alman, Zhao Song 0002. [doi]
• Exploring Question Decomposition for Zero-Shot VQAZaid Khan 0001, Vijay Kumar B. G, Samuel Schulter, Manmohan Chandraker, Yun Fu 0001. [doi]
• Auditing for Human ExpertiseRohan Alur, Loren Laine, Darrick K. Li, Manish Raghavan, Devavrat Shah, Dennis L. Shung. [doi]
• Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World EnvironmentsThanh-Dat Truong, Hoang-Quan Nguyen, Bhiksha Raj, Khoa Luu. [doi]
• Non-adversarial training of Neural SDEs with signature kernel scoresZacharia Issa, Blanka Horvath, Maud Lemercier, Cristopher Salvi. [doi]
• Bucks for Buckets (B4B): Active Defenses Against Stealing EncodersJan Dubinski, Stanislaw Pawlak, Franziska Boenisch, Tomasz Trzcinski, Adam Dziedzic. [doi]
• Modeling Human Visual Motion Processing with Trainable Motion Energy Sensing and a Self-attention NetworkZitang Sun, Yen-Ju Chen, Yung-Hao Yang, Shin'ya Nishida. [doi]
• On the Identifiability and Interpretability of Gaussian Process ModelsJiawen Chen, Wancen Mu, Yun Li, Didong Li. [doi]
• Small batch deep reinforcement learningJohan S. Obando-Ceron, Marc G. Bellemare, Pablo Samuel Castro. [doi]
• MonoUNI: A Unified Vehicle and Infrastructure-side Monocular 3D Object Detection Network with Sufficient Depth CluesJinrang Jia, Zhenjia Li, Yifeng Shi. [doi]
• 4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and ModelsXuhong Li 0002, Mengnan Du, Jiamin Chen, Yekun Chai, Himabindu Lakkaraju, Haoyi Xiong. [doi]
• Feature Selection in the Contrastive Analysis SettingEthan Weinberger, Ian Covert, Su-In Lee. [doi]
• Self-Supervised Reinforcement Learning that Transfers using Random FeaturesBoyuan Chen 0003, Chuning Zhu, Pulkit Agrawal, Kaiqing Zhang, Abhishek Gupta. [doi]
• Mitigating Test-Time Bias for Fair Image RetrievalFanjie Kong, Shuai Yuan, Weituo Hao, Ricardo Henao. [doi]
• Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network InferenceRan Ran, Nuo Xu, Tao Liu, Wei Wang, Gang Quan, Wujie Wen. [doi]
• Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RLQinghua Liu, Gellért Weisz, András György 0001, Chi Jin 0001, Csaba Szepesvári. [doi]
• Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex OptimizationLiang Zhang, Junchi Yang, Amin Karbasi, Niao He. [doi]
• Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe IterationsEdward Raff, Amol Khanna, Fred Lu. [doi]
• RayDF: Neural Ray-surface Distance Fields with Multi-view ConsistencyZhuoman Liu, Bo Yang, Yan Luximon, Ajay Kumar, Jinxi Li. [doi]
• Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential GamesYoubang Sun, Tao Liu 0035, Ruida Zhou, P. R. Kumar 0001, Shahin Shahrampour. [doi]
• A Diffusion-Model of Joint Interactive NavigationMatthew Niedoba, Jonathan Wilder Lavington, Yunpeng Liu 0007, Vasileios Lioutas, Justice Sefas, Xiaoxuan Liang, Dylan Green, Setareh Dabiri, Berend Zwartsenberg, Adam Scibior, Frank Wood. [doi]
• LOVM: Language-Only Vision Model SelectionOrr Zohar, Shih-Cheng Huang, Kuan-Chieh Wang, Serena Yeung. [doi]
• DRAUC: An Instance-wise Distributionally Robust AUC Optimization FrameworkSiran Dai, Qianqian Xu, Zhiyong Yang 0001, Xiaochun Cao, Qingming Huang. [doi]
• Non-Convex Bilevel Optimization with Time-Varying Objective FunctionsSen Lin, Daouda Sow, Kaiyi Ji, Yingbin Liang, Ness B. Shroff. [doi]
• Bitstream-Corrupted Video Recovery: A Novel Benchmark Dataset and MethodTianyi Liu, Kejun Wu, Yi Wang 0068, Wenyang Liu, Kim-Hui Yap, Lap-Pui Chau. [doi]
• Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement LearningJames Queeney, Mouhacine Benosman. [doi]
• Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow NetworkTristan Deleu, Mizu Nishikawa-Toomey, Jithendaraa Subramanian, Nikolay Malkin, Laurent Charlin, Yoshua Bengio. [doi]
• An Inductive Bias for Tabular Deep LearningEge Beyazit, Jonathan Kozaczuk, Bo Li, Vanessa Wallace, Bilal Fadlallah. [doi]
• Fine-Grained Human Feedback Gives Better Rewards for Language Model TrainingZeqiu Wu, Yushi Hu, Weijia Shi, Nouha Dziri, Alane Suhr, Prithviraj Ammanabrolu, Noah A. Smith, Mari Ostendorf, Hannaneh Hajishirzi. [doi]
• Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct SupervisionAyush Tewari, Tianwei Yin, George Cazenavette, Semon Rezchikov, Josh Tenenbaum 0001, Frédo Durand, Bill Freeman, Vincent Sitzmann. [doi]
• Judging LLM-as-a-Judge with MT-Bench and Chatbot ArenaLianmin Zheng, Wei-Lin Chiang, Ying Sheng 0007, Siyuan Zhuang 0001, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li 0001, Dacheng Li, Eric P. Xing, Hao Zhang, Joseph E. Gonzalez, Ion Stoica. [doi]
• Replicability in Reinforcement LearningAmin Karbasi, Grigoris Velegkas, Lin Yang 0011, Felix Zhou 0002. [doi]
• End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy PhysicsAlexander Shmakov, Kevin Greif, Michael James Fenton, Aishik Ghosh, Pierre Baldi, Daniel Whiteson. [doi]
• Learning Dictionary for Visual AttentionYingjie Liu, Xuan Liu, Hui Yu, Xuan Tang, Xian Wei. [doi]
• Initialization-Dependent Sample Complexity of Linear Predictors and Neural NetworksRoey Magen, Ohad Shamir. [doi]
• Fused Gromov-Wasserstein Graph Mixup for Graph-level ClassificationsXinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao 0001, Liantao Ma, Wenwu Zhu 0001. [doi]
• GPEX, A Framework For Interpreting Artificial Neural NetworksAmir Akbarnejad, Gilbert Bigras, Nilanjan Ray. [doi]
• Evaluating Self-Supervised Learning for Molecular Graph EmbeddingsHanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Joan Lasenby, Qi Liu. [doi]
• Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task SimilarityWeichao Mao, Haoran Qiu, Chen Wang 0039, Hubertus Franke, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Tamer Basar. [doi]
• BubbleML: A Multiphase Multiphysics Dataset and Benchmarks for Machine LearningSheikh Md Shakeel Hassan, Arthur Feeney, Akash Dhruv, Jihoon Kim, Youngjoon Suh, Jaiyoung Ryu, Yoonjin Won, Aparna Chandramowlishwaran. [doi]
• FedFed: Feature Distillation against Data Heterogeneity in Federated LearningZhiqin Yang, Yonggang Zhang, Yu Zheng, Xinmei Tian 0001, Hao Peng, Tongliang Liu, Bo Han 0003. [doi]
• FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion ModelsHao Zhang 0106, Tianyuan Dai, Yanbo Xu, Yu-Wing Tai, Chi-Keung Tang. [doi]
• Diversified Outlier Exposure for Out-of-Distribution Detection via Informative ExtrapolationJianing Zhu, Yu Geng, Jiangchao Yao, Tongliang Liu, Gang Niu 0001, Masashi Sugiyama, Bo Han. [doi]
• MosaicBERT: A Bidirectional Encoder Optimized for Fast PretrainingJacob Portes, Alexander Trott, Sam Havens, Daniel King, Abhinav Venigalla, Moin Nadeem, Nikhil Sardana, Daya Khudia, Jonathan Frankle. [doi]
• Agnostically Learning Single-Index Models using OmnipredictorsAravind Gollakota, Parikshit Gopalan, Adam R. Klivans, Konstantinos Stavropoulos. [doi]
• Accelerating Value Iteration with AnchoringJongmin Lee, Ernest Ryu. [doi]
• Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport BenchmarkNikita Gushchin, Alexander Kolesov, Petr Mokrov, Polina Karpikova, Andrei Spiridonov, Evgeny Burnaev, Alexander Korotin. [doi]
• Logarithmic Bayes Regret BoundsAlexia Atsidakou, Branislav Kveton, Sumeet Katariya, Constantine Caramanis, Sujay Sanghavi. [doi]
• AdANNS: A Framework for Adaptive Semantic SearchAniket Rege, Aditya Kusupati, Sharan Ranjit S, Alan Fan, Qingqing Cao, Sham M. Kakade, Prateek Jain 0002, Ali Farhadi. [doi]
• Non-autoregressive Machine Translation with Probabilistic Context-free GrammarShangtong Gui, Chenze Shao, Zhengrui Ma, Xishan Zhang, Yunji Chen, Yang Feng 0004. [doi]
• Toward Understanding Generative Data AugmentationChenyu Zheng, Guoqiang Wu, Chongxuan Li. [doi]
• Estimating Riemannian Metric with Noise-Contaminated Intrinsic DistanceJiaming Qiu, Xiongtao Dai. [doi]
• Towards Accelerated Model Training via Bayesian Data SelectionZhijie Deng, Peng Cui 0007, Jun Zhu 0001. [doi]
• MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly DetectionJunho Song, Keonwoo Kim, Jeonglyul Oh, Sungzoon Cho. [doi]
• Described Object Detection: Liberating Object Detection with Flexible ExpressionsChi Xie, Zhao Zhang, Yixuan Wu, Feng Zhu 0006, Rui Zhao, Shuang Liang. [doi]
• DISCOVER: Making Vision Networks Interpretable via Competition and DissectionKonstantinos P. Panousis, Sotirios Chatzis. [doi]
• On student-teacher deviations in distillation: does it pay to disobey?Vaishnavh Nagarajan, Aditya Krishna Menon, Srinadh Bhojanapalli, Hossein Mobahi, Sanjiv Kumar. [doi]
• Towards Efficient Pre-Trained Language Model via Feature Correlation DistillationKun Huang, Xin Guo, Meng Wang. [doi]
• Differentially Private Approximate Near Neighbor Counting in High DimensionsAlexandr Andoni, Piotr Indyk, Sepideh Mahabadi, Shyam Narayanan. [doi]
• Category-Extensible Out-of-Distribution Detection via Hierarchical Context DescriptionsKai Liu, Zhihang Fu, Chao Chen, Sheng Jin 0002, Ze Chen 0001, Mingyuan Tao, Rongxin Jiang 0001, Jieping Ye. [doi]
• AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the WebMichael Schlichtkrull, Zhijiang Guo, Andreas Vlachos 0001. [doi]
• Multimodal Deep Learning Model Unveils Behavioral Dynamics of V1 Activity in Freely Moving MiceAiwen Xu, Yuchen Hou, Cristopher Niell, Michael Beyeler. [doi]
• How to Scale Your EMADan Busbridge, Jason Ramapuram, Pierre Ablin, Tatiana Likhomanenko, Eeshan Gunesh Dhekane, Xavier Suau Cuadros, Russell Webb. [doi]
• Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain ActivitiesJingyuan Sun, Mingxiao Li, Zijiao Chen, Yunhao Zhang, Shaonan Wang, Marie-Francine Moens. [doi]
• Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEsKevin Course, Prasanth B. Nair. [doi]
• Non-stationary Experimental Design under Linear TrendsDavid Simchi-Levi, Chonghuan Wang, Zeyu Zheng. [doi]
• Doubly Robust Augmented Transfer for Meta-Reinforcement LearningYuankun Jiang, Nuowen Kan, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong. [doi]
• Minimum norm interpolation by perceptra: Explicit regularization and implicit biasJiyoung Park, Ian Pelakh, Stephan Wojtowytsch. [doi]
• DFRD: Data-Free Robustness Distillation for Heterogeneous Federated LearningKangyang Luo, Shuai Wang, Yexuan Fu, Xiang Li, Yunshi Lan, Ming Gao. [doi]
• Large Language Models Are Semi-Parametric Reinforcement Learning AgentsDanyang Zhang, Lu Chen, Situo Zhang, Hongshen Xu, Zihan Zhao, Kai Yu 0004. [doi]
• A Fast and Accurate Estimator for Large Scale Linear Model via Data AveragingRui Wang, Yanyan Ouyang, Panpan Yu, Wangli Xu. [doi]
• Label-Retrieval-Augmented Diffusion Models for Learning from Noisy LabelsJian Chen, Ruiyi Zhang, Tong Yu, Rohan Sharma, Zhiqiang Xu, Tong Sun, Changyou Chen. [doi]
• Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement LearningFan Feng, Sara Magliacane. [doi]
• Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part EquivarianceCongyue Deng, Jiahui Lei, William B. Shen, Kostas Daniilidis, Leonidas J. Guibas. [doi]
• Django: Detecting Trojans in Object Detection Models via Gaussian Focus CalibrationGuangyu Shen, Siyuan Cheng 0005, Guanhong Tao 0001, Kaiyuan Zhang 0002, Yingqi Liu, Shengwei An, ShiQing Ma, Xiangyu Zhang 0001. [doi]
• On the spectral bias of two-layer linear networksAditya Vardhan Varre, Maria-Luiza Vladarean, Loucas Pillaud-Vivien, Nicolas Flammarion. [doi]
• Fully Dynamic k-Clustering in Õ(k) Update TimeSayan Bhattacharya, Martín Costa, Silvio Lattanzi, Nikos Parotsidis. [doi]
• A Robust and Opponent-Aware League Training Method for StarCraft IIRuozi Huang, Xipeng Wu, Hongsheng Yu, Zhong Fan, Haobo Fu, Qiang Fu, Wei Yang. [doi]
• Federated Learning with Bilateral Curation for Partially Class-Disjoint DataZiqing Fan, Ruipeng Zhang, Jiangchao Yao, Bo Han, Ya Zhang 0002, Yanfeng Wang. [doi]
• Slow and Weak Attractor Computation Embedded in Fast and Strong E-I Balanced Neural DynamicsXiaohan Lin, Liyuan Li, Boxin Shi, Tiejun Huang 0001, Yuanyuan Mi, Si Wu 0001. [doi]
• Errors-in-variables Fr\'echet Regression with Low-rank Covariate ApproximationDogyoon Song, Kyunghee Han. [doi]
• Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable StructureAngela Yuan, Chris Junchi Li, Gauthier Gidel, Michael I. Jordan, Quanquan Gu, Simon S. Du. [doi]
• M5HisDoc: A Large-scale Multi-style Chinese Historical Document Analysis BenchmarkYongxin Shi, Chongyu Liu, Dezhi Peng, Cheng Jian, Jiarong Huang, Lianwen Jin. [doi]
• Birth of a Transformer: A Memory ViewpointAlberto Bietti, Vivien Cabannes, Diane Bouchacourt, Hervé Jégou, Léon Bottou. [doi]
• Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel MatchingJunsheng Zhou, Baorui Ma, Wenyuan Zhang, Yi Fang, Yu-Shen Liu, Zhizhong Han. [doi]
• RDumb: A simple approach that questions our progress in continual test-time adaptationOri Press, Steffen Schneider 0001, Matthias Kümmerer, Matthias Bethge. [doi]
• SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle PhysicsAtul Kumar Sinha, Daniele Paliotta, Bálint Máté, John A. Raine, Tobias Golling, François Fleuret. [doi]
• Multi-modal Queried Object Detection in the WildYifan Xu 0008, Mengdan Zhang, Chaoyou Fu, Peixian Chen, Xiaoshan Yang, Ke Li, Changsheng Xu. [doi]
• ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud UnderstandingLunhao Duan, Shanshan Zhao, Nan Xue 0001, Mingming Gong, Gui-Song Xia, Dacheng Tao. [doi]
• Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal ClassificationRui Wang, Peipei Li, Huaibo Huang, Chunshui Cao, Ran He 0001, Zhaofeng He. [doi]
• Learning to Parameterize Visual Attributes for Open-set Fine-grained RetrievalShijie Wang, Jianlong Chang, Haojie Li, Zhihui Wang 0001, Wanli Ouyang, Qi Tian 0001. [doi]
• Compositional Sculpting of Iterative Generative ProcessesTimur Garipov, Sebastiaan De Peuter, Ge Yang, Vikas K. Garg, Samuel Kaski, Tommi S. Jaakkola. [doi]
• DOSE: Diffusion Dropout with Adaptive Prior for Speech EnhancementWenxin Tai, Yue Lei, Fan Zhou 0002, Goce Trajcevski, Ting Zhong. [doi]
• Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive LearningXiaojun Guo, Yifei Wang, Zeming Wei, Yisen Wang. [doi]
• Dual Mean-Teacher: An Unbiased Semi-Supervised Framework for Audio-Visual Source LocalizationYuxin Guo, Shijie Ma, Hu Su, Zhiqing Wang, Yuhao Zhao, Wei Zou, Siyang Sun, Yun Zheng. [doi]
• Explaining Predictive Uncertainty with Information Theoretic Shapley ValuesDavid S. Watson, Joshua O'Hara, Niek Tax, Richard Mudd, Ido Guy. [doi]
• Cross-Scale MAE: A Tale of Multiscale Exploitation in Remote SensingMaofeng Tang, Andrei Cozma, Konstantinos Georgiou, Hairong Qi 0001. [doi]
• Towards Label-free Scene Understanding by Vision Foundation ModelsRunnan Chen, Youquan Liu, Lingdong Kong, Nenglun Chen, Xinge Zhu, Yuexin Ma, Tongliang Liu, Wenping Wang. [doi]
• Scenario Diffusion: Controllable Driving Scenario Generation With DiffusionEthan Pronovost, Meghana Reddy Ganesina, Noureldin Hendy, Zeyu Wang, Andres Morales, Kai Wang, Nick Roy. [doi]
• D-Separation for Causal Self-ExplanationWei Liu, Jun Wang, Haozhao Wang, Ruixuan Li 0001, Zhiying Deng, Yuankai Zhang 0002, Yang Qiu. [doi]
• Objaverse-XL: A Universe of 10M+ 3D ObjectsMatt Deitke, Ruoshi Liu, Matthew Wallingford, Huong Ngo, Oscar Michel, Aditya Kusupati, Alan Fan, Christian Laforte, Vikram Voleti, Samir Yitzhak Gadre, Eli VanderBilt, Aniruddha Kembhavi, Carl Vondrick, Georgia Gkioxari, Kiana Ehsani, Ludwig Schmidt, Ali Farhadi. [doi]
• Cross-Episodic Curriculum for Transformer AgentsLucy Xiaoyang Shi, Yunfan Jiang 0001, Jake Grigsby, Linxi Fan, Yuke Zhu. [doi]
• Generalized Belief TransportJunqi Wang, Pei Wang, Patrick Shafto. [doi]
• Theoretical Analysis of the Inductive Biases in Deep Convolutional NetworksZihao Wang, Lei Wu. [doi]
• Theoretically Guaranteed Bidirectional Data Rectification for Robust Sequential RecommendationYatong Sun, Bin Wang, Zhu Sun, Xiaochun Yang, Yan Wang. [doi]
• Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized ReconstructionSouhaib Attaiki, Maks Ovsjanikov. [doi]
• An information-theoretic quantification of the content of communication between brain regionsMarco Celotto, Jan Bím, Alejandro Tlaie, Vito De Feo, Alessandro Toso, Stefan Lemke, Daniel Chicharro, Hamed Nili, Malte Bieler, Ileana L. Hanganu-Opatz, Tobias Donner, Andrea Brovelli, Stefano Panzeri. [doi]
• Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive BenchmarkLasse Hansen, Nabeel Seedat, Mihaela van der Schaar, Andrija Petrovic. [doi]
• AIMS: All-Inclusive Multi-Level Segmentation for AnythingLu Qi, Jason Kuen, Weidong Guo, Jiuxiang Gu, Zhe Lin, Bo Du, Yu Xu, Ming-Hsuan Yang 0001. [doi]
• Flow: Per-instance Personalized Federated LearningKunjal Panchal, Sunav Choudhary, Nisarg Parikh, Lijun Zhang, Hui Guan. [doi]
• Faster Differentially Private Convex Optimization via Second-Order MethodsArun Ganesh, Mahdi Haghifam, Thomas Steinke 0002, Abhradeep Guha Thakurta. [doi]
• Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear LearnersRachel Redberg, Antti Koskela, Yu-Xiang Wang 0003. [doi]
• Faster Relative Entropy Coding with Greedy Rejection CodingGergely Flamich, Stratis Markou, José Miguel Hernández-Lobato. [doi]
• Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision ProcessesEmmeran Johnson, Ciara Pike-Burke, Patrick Rebeschini. [doi]
• Tuning Multi-mode Token-level Prompt Alignment across ModalitiesDongsheng Wang 0003, Miaoge Li, Xinyang Liu, Mingsheng Xu, Bo Chen 0001, Hanwang Zhang. [doi]
• Transformers learn through gradual rank increaseEmmanuel Abbe, Samy Bengio, Enric Boix-Adserà, Etai Littwin, Joshua M. Susskind. [doi]
• A Batch-to-Online Transformation under Random-Order ModelJing Dong, Yuichi Yoshida. [doi]
• A Massive Scale Semantic Similarity Dataset of Historical EnglishEmily Silcock, Abhishek Arora 0003, Melissa Dell. [doi]
• Attacks on Online Learners: a Teacher-Student AnalysisRiccardo Giuseppe Margiotta, Sebastian Goldt, Guido Sanguinetti. [doi]
• Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value PredictionsTongxin Li, Yiheng Lin, Shaolei Ren, Adam Wierman. [doi]
• StyleDrop: Text-to-Image Synthesis of Any StyleKihyuk Sohn, Lu Jiang, Jarred Barber, Kimin Lee, Nataniel Ruiz, Dilip Krishnan, Huiwen Chang, Yuanzhen Li, Irfan Essa, Michael Rubinstein, Yuan-Hao, Glenn Entis, Irina Blok, Daniel Castro Chin. [doi]
• QuIP: 2-Bit Quantization of Large Language Models With GuaranteesJerry Chee, Yaohui Cai, Volodymyr Kuleshov, Christopher De Sa. [doi]
• Image Captioners Are Scalable Vision Learners TooMichael Tschannen, Manoj Kumar, Andreas Steiner, Xiaohua Zhai, Neil Houlsby, Lucas Beyer. [doi]
• HA-ViD: A Human Assembly Video Dataset for Comprehensive Assembly Knowledge UnderstandingHao Zheng, Regina Lee, Yuqian Lu. [doi]
• Katakomba: Tools and Benchmarks for Data-Driven NetHackVladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov. [doi]
• DAC-DETR: Divide the Attention Layers and ConquerZhengdong Hu, Yifan Sun, Jingdong Wang 0001, Yi Yang 0001. [doi]
• PDF: Point Diffusion Implicit Function for Large-scale Scene Neural RepresentationYuhan Ding, Fukun Yin, Jiayuan Fan, Hui Li, Xin Chen, Wen Liu, Chongshan Lu, Gang Yu, Tao Chen 0003. [doi]
• Two-Stage Predict+Optimize for MILPs with Unknown Parameters in ConstraintsXinyi Hu, Jasper C. H. Lee, Jimmy Ho-Man Lee. [doi]
• Dynamic Non-monotone Submodular MaximizationKiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh. [doi]
• Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual ScenesGehua Ma, Runhao Jiang, Rui Yan 0005, Huajin Tang. [doi]
• Revealing the unseen: Benchmarking video action recognition under occlusionShresth Grover, Vibhav Vineet, Yogesh S. Rawat. [doi]
• Adversarial Robustness through Random Weight SamplingYanxiang Ma, Minjing Dong, Chang Xu. [doi]
• Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement LearningHongyu Zang, Xin Li, Leiji Zhang, Yang Liu, Baigui Sun, Riashat Islam, Remi Tachet des Combes, Romain Laroche. [doi]
• Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Yecheng Jason Ma, Claire Chen, Sneha Silwal, Aryan Jain, Vincent-Pierre Berges, Tingfan Wu, Jay Vakil, Pieter Abbeel, Jitendra Malik, Dhruv Batra, Yixin Lin, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier. [doi]
• Greedy Pruning with Group Lasso Provably Generalizes for Matrix SensingNived Rajaraman, Devvrit, Aryan Mokhtari, Kannan Ramchandran. [doi]
• The geometry of hidden representations of large transformer modelsLucrezia Valeriani, Diego Doimo, Francesca Cuturello, Alessandro Laio, Alessio Ansuini, Alberto Cazzaniga. [doi]
• DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT ModelsBoxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin 0001, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li. [doi]
• Injecting Multimodal Information into Rigid Protein Docking via Bi-level OptimizationRuijia Wang, YiWu Sun, Yujie Luo, Shaochuan Li, Cheng Yang, Xingyi Cheng, Hui Li, Chuan Shi, Le Song. [doi]
• A High-Resolution Dataset for Instance Detection with Multi-View Object CaptureQianqian Shen, Yunhan Zhao, Nahyun Kwon, Jeeeun Kim, Yanan Li, Shu Kong. [doi]
• Approximate inference of marginals using the IBIA frameworkShivani Bathla, Vinita Vasudevan. [doi]
• A Unified Framework for U-Net Design and AnalysisChristopher Williams, Fabian Falck, George Deligiannidis, Chris C. Holmes, Arnaud Doucet, Saifuddin Syed. [doi]
• Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse PerspectiveYifei Zhang, Hao Zhu, Yankai Chen 0001, Zixing Song, Piotr Koniusz, Irwin King. [doi]
• Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural NetworksJiayuan Ye 0001, Zhenyu Zhu, Fanghui Liu 0001, Reza Shokri, Volkan Cevher. [doi]
• Gold-YOLO: Efficient Object Detector via Gather-and-Distribute MechanismChengcheng Wang, Wei He, Ying Nie, Jianyuan Guo, Chuanjian Liu, Yunhe Wang 0001, Kai Han 0002. [doi]
• D4: Improving LLM Pretraining via Document De-Duplication and DiversificationKushal Tirumala, Daniel Simig, Armen Aghajanyan, Ari Morcos. [doi]
• Statistical Guarantees for Variational Autoencoders using PAC-Bayesian TheorySokhna Diarra Mbacke, Florence Clerc, Pascal Germain. [doi]
• Adaptive Principal Component Regression with Applications to Panel DataAnish Agarwal, Keegan Harris, Justin Whitehouse, Steven Z. Wu. [doi]
• Counterfactually Comparing Abstaining ClassifiersYo Joong Choe, Aditya Gangrade, Aaditya Ramdas. [doi]
• VanillaNet: the Power of Minimalism in Deep LearningHanting Chen, Yunhe Wang 0001, Jianyuan Guo, Dacheng Tao. [doi]
• Conformal Prediction Sets for Ordinal ClassificationPrasenjit Dey, Srujana Merugu, Sivaramakrishnan R. Kaveri. [doi]
• Online Constrained Meta-Learning: Provable Guarantees for GeneralizationSiyuan Xu, Minghui Zhu. [doi]
• Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount FactorJulien Grand-Clément, Marek Petrik. [doi]
• Learning Adaptive Tensorial Density Fields for Clean Cryo-ET ReconstructionYuanhao Wang 0003, Ramzi Idoughi, Wolfgang Heidrich. [doi]
• Towards Test-Time Refusals via Concept NegationPeiran Dong, Song Guo, Junxiao Wang, Bingjie Wang, Jiewei Zhang, Ziming Liu. [doi]
• Recovering from Out-of-sample States via Inverse Dynamics in Offline Reinforcement LearningKe Jiang, Jia-Yu Yao, Xiaoyang Tan. [doi]
• k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential PrivacyChenglin Fan, Ping Li 0001, Xiaoyun Li. [doi]
• Wasserstein distributional robustness of neural networksXingjian Bai, Guangyi He, Yifan Jiang, Jan Oblój. [doi]
• Learning and Collusion in Multi-unit AuctionsSimina Brânzei, Mahsa Derakhshan, Negin Golrezaei, Yanjun Han. [doi]
• PIXIU: A Comprehensive Benchmark, Instruction Dataset and Large Language Model for FinanceQianqian Xie, Weiguang Han, Xiao Zhang, Yanzhao Lai, Min Peng, Alejandro Lopez-Lira, Jimin Huang. [doi]
• DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable PhysicsZhiao Huang, Feng Chen, Yewen Pu, Chunru Lin, Hao Su, Chuang Gan. [doi]
• Concept Distillation: Leveraging Human-Centered Explanations for Model ImprovementAvani Gupta, Saurabh Saini, P. J. Narayanan. [doi]
• Rethinking Tokenizer and Decoder in Masked Graph Modeling for MoleculesZhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua. [doi]
• The expressive power of pooling in Graph Neural NetworksFilippo Maria Bianchi, Veronica Lachi. [doi]
• An Efficient End-to-End Training Approach for Zero-Shot Human-AI CoordinationXue Yan, Jiaxian Guo, Xingzhou Lou, Jun Wang, Haifeng Zhang, Yali Du 0001. [doi]
• Benchmarking Encoder-Decoder Architectures for Biplanar X-ray to 3D Bone Shape ReconstructionMahesh Shakya, Bishesh Khanal. [doi]
• Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation DegenerationJie Xu, Shuo Chen, Yazhou Ren 0001, Xiaoshuang Shi, Hengtao Shen, Gang Niu 0001, Xiaofeng Zhu 0001. [doi]
• Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert SpacesSungbin Lim, Eun-Bi Yoon, Taehyun Byun, Taewon Kang, Seungwoo Kim, Kyungjae Lee 0001, Sungjoon Choi. [doi]
• Transfer learning for atomistic simulations using GNNs and kernel mean embeddingsJohn Isak Texas Falk, Luigi Bonati, Pietro Novelli, Michele Parrinello, Massimiliano Pontil. [doi]
• A Theory of Unsupervised Translation Motivated by Understanding Animal CommunicationShafi Goldwasser, David F. Gruber, Adam Tauman Kalai, Orr Paradise. [doi]
• Efficient Batched Algorithm for Contextual Linear Bandits with Large Action Space via Soft EliminationOsama A. Hanna, Lin Yang 0011, Christina Fragouli. [doi]
• GraphAdapter: Tuning Vision-Language Models With Dual Knowledge GraphXin Li 0082, Dongze Lian, Zhihe Lu, Jiawang Bai, Zhibo Chen 0001, Xinchao Wang. [doi]
• RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized DeletionZhuoqun Huang, Neil G. Marchant, Keane Lucas, Lujo Bauer, Olga Ohrimenko, Benjamin I. P. Rubinstein. [doi]
• M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language ModelsWenxuan Zhang, Mahani Aljunied, Chang Gao, Yew Ken Chia, Lidong Bing. [doi]
• Faith and Fate: Limits of Transformers on CompositionalityNouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Sean Welleck, Peter West, Chandra Bhagavatula, Ronan Le Bras 0001, Jena D. Hwang, Soumya Sanyal, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, Yejin Choi 0001. [doi]
• Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial RobustnessAmbar Pal, Jeremias Sulam, René Vidal. [doi]
• No-Regret Online Reinforcement Learning with Adversarial Losses and TransitionsTiancheng Jin, Junyan Liu, Chloé Rouyer, William Chang, Chen-Yu Wei, Haipeng Luo. [doi]
• Mixed-Initiative Multiagent Apprenticeship Learning for Human Training of Robot TeamsEsmaeil Seraj, Jerry Xiong, Mariah Schrum, Matthew C. Gombolay. [doi]
• Scaling Riemannian Diffusion ModelsAaron Lou, Minkai Xu, Adam Farris, Stefano Ermon. [doi]
• Local Convergence of Gradient Methods for Min-Max Games: Partial Curvature Generically SufficesGuillaume Wang, Lénaïc Chizat. [doi]
• Non-Stationary Bandits with Auto-Regressive Temporal DependencyQinyi Chen, Negin Golrezaei, Djallel Bouneffouf 0001. [doi]
• Offline Reinforcement Learning with Differential PrivacyDan Qiao, Yu-Xiang Wang. [doi]
• HyTrel: Hypergraph-enhanced Tabular Data Representation LearningPei Chen, Soumajyoti Sarkar, Leonard Lausen, Balasubramaniam Srinivasan, Sheng Zha, Ruihong Huang, George Karypis. [doi]
• Anytime-Competitive Reinforcement Learning with Policy PriorJianyi Yang, Pengfei Li, Tongxin Li, Adam Wierman, Shaolei Ren. [doi]
• Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz RegularizationMahyar Fazlyab, Taha Entesari, Aniket Roy, Rama Chellappa. [doi]
• Counting Distinct Elements in the Turnstile Model with Differential Privacy under Continual ObservationPalak Jain 0004, Iden Kalemaj, Sofya Raskhodnikova, Satchit Sivakumar, Adam D. Smith. [doi]
• CAPP-130: A Corpus of Chinese Application Privacy Policy Summarization and InterpretationPengyun Zhu, Long Wen, Jinfei Liu, Feng Xue, Jian Lou 0001, Zhibo Wang 0001, Kui Ren 0001. [doi]
• AlpacaFarm: A Simulation Framework for Methods that Learn from Human FeedbackYann Dubois, Chen Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, Tatsunori B. Hashimoto. [doi]
• Tartarus: A Benchmarking Platform for Realistic And Practical Inverse Molecular DesignAkshatKumar Nigam, Robert Pollice, Gary Tom, Kjell Jorner, John Willes, Luca A. Thiede, Anshul Kundaje, Alán Aspuru-Guzik. [doi]
• Improving Self-supervised Molecular Representation Learning using Persistent HomologyYuankai Luo, Lei Shi 0002, Veronika Thost. [doi]
• DeepSimHO: Stable Pose Estimation for Hand-Object Interaction via Physics SimulationRong Wang, Wei Mao 0001, Hongdong Li. [doi]
• Reining Generalization in Offline Reinforcement Learning via Representation DistinctionYi Ma, Hongyao Tang, Dong Li 0016, Zhaopeng Meng. [doi]
• A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)Weijie Tu, Weijian Deng, Tom Gedeon. [doi]
• Trans-Dimensional Generative Modeling via Jump Diffusion ModelsAndrew Campbell, William Harvey 0002, Christian Weilbach, Valentin De Bortoli, Thomas Rainforth, Arnaud Doucet. [doi]
• SpokenWOZ: A Large-Scale Speech-Text Benchmark for Spoken Task-Oriented Dialogue AgentsShuzheng Si, Wentao Ma, Haoyu Gao, Yuchuan Wu, Ting-En Lin, Yinpei Dai, Hangyu Li 0003, Rui Yan, Fei Huang 0004, Yongbin Li. [doi]
• Exact Representation of Sparse Networks with Symmetric Nonnegative EmbeddingsSudhanshu Chanpuriya, Ryan A. Rossi, Anup B. Rao, Tung Mai, Nedim Lipka, Zhao Song 0002, Cameron Musco. [doi]
• IEBins: Iterative Elastic Bins for Monocular Depth EstimationShuwei Shao, Zhongcai Pei, Xingming Wu, Zhong Liu, Weihai Chen, Zhengguo Li. [doi]
• Deep Contract Design via Discontinuous NetworksTonghan Wang 0003, Paul Duetting, Dmitry Ivanov, Inbal Talgam-Cohen, David C. Parkes. [doi]
• Getting ViT in Shape: Scaling Laws for Compute-Optimal Model DesignIbrahim M. Alabdulmohsin, Xiaohua Zhai, Alexander Kolesnikov 0003, Lucas Beyer. [doi]
• CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant CareTong Xiang, Liangzhi Li 0004, Wangyue Li, Mingbai Bai, Lu Wei, Bowen Wang, Noa Garcia. [doi]
• A Finite-Particle Convergence Rate for Stein Variational Gradient DescentJiaxin Shi, Lester Mackey. [doi]
• FLuID: Mitigating Stragglers in Federated Learning using Invariant DropoutIrene Wang, Prashant J. Nair, Divya Mahajan 0001. [doi]
• PrObeD: Proactive Object Detection WrapperVishal Asnani, Abhinav Kumar, Suya You, Xiaoming Liu 0002. [doi]
• ImageReward: Learning and Evaluating Human Preferences for Text-to-Image GenerationJiazheng Xu, Xiao Liu, Yuchen Wu, Yuxuan Tong, Qinkai Li, Ming Ding, Jie Tang, Yuxiao Dong. [doi]
• Towards a Unified Analysis of Kernel-based Methods Under Covariate ShiftXingdong Feng, Xin He, Caixing Wang, Chao Wang, Jingnan Zhang. [doi]
• Structure of universal formulasDmitry Yarotsky. [doi]
• Analyzing the Sample Complexity of Self-Supervised Image Reconstruction MethodsTobit Klug, Dogukan Atik, Reinhard Heckel. [doi]
• Geometric Algebra TransformerJohann Brehmer, Pim de Haan, Sönke Behrends, Taco S. Cohen. [doi]
• Learning Large-scale Neural Fields via Context Pruned Meta-LearningJihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee 0001, Jinwoo Shin, Jonathan Richard Schwarz. [doi]
• Object-Centric Slot DiffusionJindong Jiang, Fei Deng, Gautam Singh, Sungjin Ahn. [doi]
• On the Generalization Properties of Diffusion ModelsPuheng Li, Zhong Li, Huishuai Zhang, Jiang Bian 0002. [doi]
• Meta-in-context learning in large language modelsJulian Coda-Forno, Marcel Binz, Zeynep Akata, Matt M. Botvinick, Jane X. Wang, Eric Schulz. [doi]
• FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects EstimationJia Gu, Caizhi Tang, Han Yan, Qing Cui, Longfei Li, Jun Zhou. [doi]
• Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic ScenesAran Nayebi, Rishi Rajalingham, Mehrdad Jazayeri, Guangyu Robert Yang. [doi]
• Contextual Gaussian Process Bandits with Neural NetworksHaoting Zhang, Jinghai He, Rhonda Righter, Zuo-Jun Max Shen, Zeyu Zheng. [doi]
• Debiasing Pretrained Generative Models by Uniformly Sampling Semantic AttributesWalter Gerych, Kevin Hickey, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz AlAjaji, Elke A. Rundensteiner, Emmanuel Agu. [doi]
• Robust Mean Estimation Without Moments for Symmetric DistributionsGleb Novikov, David Steurer, Stefan Tiegel. [doi]
• ID and OOD Performance Are Sometimes Inversely Correlated on Real-world DatasetsDamien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad. [doi]
• An Alternative to Variance: Gini Deviation for Risk-averse Policy GradientYudong Luo, Guiliang Liu, Pascal Poupart, Yangchen Pan. [doi]
• DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNetsLazar Atanackovic, Alexander Tong 0001, Bo Wang, Leo J. Lee, Yoshua Bengio, Jason S. Hartford. [doi]
• Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defenseKalpesh Krishna, Yixiao Song, Marzena Karpinska, John Wieting, Mohit Iyyer. [doi]
• A Unified Framework for Rank-based Loss MinimizationRufeng Xiao, Yuze Ge, Rujun Jiang, Yifan Yan. [doi]
• Smoothed Online Learning for Prediction in Piecewise Affine SystemsAdam Block, Max Simchowitz, Russ Tedrake. [doi]
• Graph Denoising Diffusion for Inverse Protein FoldingKai Yi, Bingxin Zhou, Yiqing Shen 0003, Pietro Lió, Yuguang Wang 0001. [doi]
• Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient DescentJin-Hui Wu, Shao-Qun Zhang, Yuan Jiang 0001, Zhi-Hua Zhou. [doi]
• On Differentially Private Sampling from Gaussian and Product DistributionsBadih Ghazi, Xiao Hu 0005, Ravi Kumar 0001, Pasin Manurangsi. [doi]
• Gaussian Process Probes (GPP) for Uncertainty-Aware ProbingZi Wang, Alexander Ku, Jason Baldridge, Tom Griffiths 0001, Been Kim. [doi]
• Aligning Optimization Trajectories with Diffusion Models for Constrained Design GenerationGiorgio Giannone, Akash Srivastava, Ole Winther, Faez Ahmed. [doi]
• UE4-NeRF: Neural Radiance Field for Real-Time Rendering of Large-Scale SceneJiaming Gu, Minchao Jiang, Hongsheng Li, Xiaoyuan Lu, Guangming Zhu 0001, Syed Afaq Ali Shah, Liang Zhang, Mohammed Bennamoun. [doi]
• Self-Supervised Motion Magnification by Backpropagating Through Optical FlowZhaoying Pan, Daniel Geng, Andrew Owens. [doi]
• The Memory-Perturbation Equation: Understanding Model's Sensitivity to DataPeter Nickl, Lu Xu, Dharmesh Tailor, Thomas Möllenhoff, Mohammad Emtiyaz Khan. [doi]
• Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened DynamicsLeon Klein, Andrew Y. K. Foong, Tor Erlend Fjelde, Bruno Mlodozeniec, Marc Brockschmidt, Sebastian Nowozin, Frank Noé, Ryota Tomioka. [doi]
• POP-3D: Open-Vocabulary 3D Occupancy Prediction from ImagesAntonin Vobecký, Oriane Siméoni, David Hurych, Spyridon Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic. [doi]
• Block Broyden's Methods for Solving Nonlinear EquationsChengchang Liu, Cheng Chen, Luo Luo, John C. S. Lui. [doi]
• Evolving Connectivity for Recurrent Spiking Neural NetworksGuan Wang, Yuhao Sun, Sijie Cheng, Sen Song. [doi]
• Understanding Few-Shot Learning: Measuring Task Relatedness and Adaptation Difficulty via AttributesMinyang Hu, Hong Chang, Zong Guo, Bingpeng Ma, Shiguang Shan, Xilin Chen 0001. [doi]
• Sharp Recovery Thresholds of Tensor PCA Spectral AlgorithmsMichael Feldman, David Donoho. [doi]
• Accelerating Motion Planning via Optimal TransportAn T. Le 0001, Georgia Chalvatzaki, Armin Biess, Jan Peters. [doi]
• High-dimensional Asymptotics of Denoising AutoencodersHugo Cui, Lenka Zdeborová. [doi]
• Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement LearningGuozheng Ma, Linrui Zhang, Haoyu Wang, Lu Li, Zilin Wang, Zhen Wang, Li Shen, Xueqian Wang, Dacheng Tao. [doi]
• Optimistic Exploration in Reinforcement Learning Using Symbolic Model EstimatesSarath Sreedharan, Michael Katz. [doi]
• ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip ConnectionZhongzhan Huang, Pan Zhou, Shuicheng Yan, Liang Lin. [doi]
• Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face RecognitionSamuel Dooley, Rhea Sukthanker, John P. Dickerson, Colin White, Frank Hutter, Micah Goldblum. [doi]
• Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic MemoryZhibin Duan, Zhiyi Lv, Chaojie Wang 0001, Bo Chen 0001, Bo An 0001, Mingyuan Zhou. [doi]
• Gradient-Based Feature Learning under Structured DataAlireza Mousavi Hosseini, Denny Wu, Taiji Suzuki, Murat A. Erdogdu. [doi]
• Gradient Informed Proximal Policy OptimizationSanghyun Son 0003, Laura Yu Zheng, Ryan Sullivan, Yi-Ling Qiao, Ming C. Lin. [doi]
• Compositional Policy Learning in Stochastic Control Systems with Formal GuaranteesDorde Zikelic, Mathias Lechner, Abhinav Verma, Krishnendu Chatterjee, Thomas A. Henzinger. [doi]
• A Bayesian Take on Gaussian Process NetworksEnrico Giudice, Jack Kuipers, Giusi Moffa. [doi]
• Regularizing Neural Networks with Meta-Learning Generative ModelsShin'ya Yamaguchi, Daiki Chijiwa, Sekitoshi Kanai, Atsutoshi Kumagai, Hisashi Kashima. [doi]
• CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud DataTaiki Miyanishi, Fumiya Kitamori, Shuhei Kurita, Jungdae Lee, Motoaki Kawanabe, Nakamasa Inoue. [doi]
• Expressive Sign Equivariant Networks for Spectral Geometric LearningDerek Lim, Joshua Robinson 0001, Stefanie Jegelka, Haggai Maron. [doi]
• ARTree: A Deep Autoregressive Model for Phylogenetic InferenceTianyu Xie, Cheng Zhang. [doi]
• Evaluating the Moral Beliefs Encoded in LLMsNino Scherrer, Claudia Shi, Amir Feder, David M. Blei. [doi]
• CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene GraphsGuangyao Zhai, Evin Pinar Örnek, Shun-Cheng Wu, Yan Di, Federico Tombari, Nassir Navab, Benjamin Busam. [doi]
• Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic SegmentationFei Zhang, Tianfei Zhou, Boyang Li, Hao He, Chaofan Ma, Tianjiao Zhang, Jiangchao Yao, Ya Zhang 0002, Yanfeng Wang. [doi]
• Adaptive Topological Feature via Persistent Homology: Filtration Learning for Point CloudsNaoki Nishikawa, Yuichi Ike, Kenji Yamanishi. [doi]
• Subject-driven Text-to-Image Generation via Apprenticeship LearningWenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen. [doi]
• Beyond Confidence: Reliable Models Should Also Consider AtypicalityMert Yüksekgönül, Linjun Zhang, James Y. Zou, Carlos Guestrin. [doi]
• Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game PerspectiveYifei Wang, Liangchen Li, Jiansheng Yang, Zhouchen Lin, Yisen Wang 0001. [doi]
• Selectively Sharing Experiences Improves Multi-Agent Reinforcement LearningMatthias Gerstgrasser, Tom Danino, Sarah Keren. [doi]
• Neural Multi-Objective Combinatorial Optimization with Diversity EnhancementJinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma 0001, Te Ye, Jiahai Wang. [doi]
• Maximum State Entropy Exploration using Predecessor and Successor RepresentationsArnav Kumar Jain, Lucas Lehnert, Irina Rish, Glen Berseth. [doi]
• AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning MatrixYun Yue, Zhiling Ye, Jiadi Jiang, Yongchao Liu, Ke Zhang. [doi]
• Investigating how ReLU-networks encode symmetriesGeorg Bökman, Fredrik Kahl. [doi]
• Variational Weighting for Kernel Density RatiosSangwoong Yoon, Frank C. Park 0001, Gunsu S. Yun, Iljung Kim, Yung-Kyun Noh. [doi]
• NVFi: Neural Velocity Fields for 3D Physics Learning from Dynamic VideosJinxi Li, Ziyang Song, Bo Yang. [doi]
• Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask DecompositionSuyoung Lee, Myungsik Cho, Youngchul Sung. [doi]
• Meta-AdaM: An Meta-Learned Adaptive Optimizer with Momentum for Few-Shot LearningSiyuan Sun, Hongyang Gao. [doi]
• Rethinking the Backward Propagation for Adversarial TransferabilityXiaosen Wang, Kangheng Tong, Kun He 0001. [doi]
• VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement LearningJiayi Guan, Guang Chen 0001, Jiaming Ji, Long Yang, Ao Zhou, Zhijun Li, Changjun Jiang. [doi]
• On the Variance, Admissibility, and Stability of Empirical Risk MinimizationGil Kur, Eli Putterman, Alexander Rakhlin. [doi]
• MGDD: A Meta Generator for Fast Dataset DistillationSonghua Liu, Xinchao Wang. [doi]
• ContiFormer: Continuous-Time Transformer for Irregular Time Series ModelingYuqi Chen, Kan Ren, Yansen Wang, Yuchen Fang, Weiwei Sun, Dongsheng Li. [doi]
• InstanT: Semi-supervised Learning with Instance-dependent ThresholdsMuyang Li, Runze Wu, Haoyu Liu, Jun Yu, Xun Yang, Bo Han 0003, Tongliang Liu. [doi]
• Spectral Co-Distillation for Personalized Federated LearningZihan Chen, Howard H. Yang, Tony Q. S. Quek, Kai Fong Ernest Chong. [doi]
• Empowering Collaborative Filtering with Principled Adversarial Contrastive LossAn Zhang, Leheng Sheng, Zhibo Cai, Xiang Wang 0010, Tat-Seng Chua. [doi]
• Smooth Flipping Probability for Differential Private Sign Random Projection MethodsPing Li 0001, Xiaoyun Li. [doi]
• Markovian Sliced Wasserstein Distances: Beyond Independent ProjectionsKhai Nguyen, Tongzheng Ren, Nhat Ho. [doi]
• Domain Agnostic Fourier Neural OperatorsNing Liu, Siavash Jafarzadeh, Yue Yu. [doi]
• Temperature Balancing, Layer-wise Weight Analysis, and Neural Network TrainingYefan Zhou, Tianyu Pang, Keqin Liu, Charles H. Martin, Michael W. Mahoney, Yaoqing Yang. [doi]
• PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE SolversPhillip Lippe, Bas Veeling, Paris Perdikaris, Richard E. Turner, Johannes Brandstetter. [doi]
• Geometry-Informed Neural Operator for Large-Scale 3D PDEsZongyi Li, Nikola B. Kovachki, Christopher B. Choy, Boyi Li, Jean Kossaifi, Shourya Prakash Otta, Mohammad Amin Nabian, Maximilian Stadler, Christian Hundt 0002, Kamyar Azizzadenesheli, Animashree Anandkumar. [doi]
• On kernel-based statistical learning theory in the mean field limitChristian Fiedler, Michael Herty, Sebastian Trimpe. [doi]
• Mnemosyne: Learning to Train Transformers with TransformersDeepali Jain, Krzysztof Marcin Choromanski, Kumar Avinava Dubey, Sumeet Singh, Vikas Sindhwani, Tingnan Zhang, Jie Tan. [doi]
• Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent InterpretabilityUsha Bhalla, Suraj Srinivas, Himabindu Lakkaraju. [doi]
• SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive TasksBill Yuchen Lin, Yicheng Fu, Karina Yang, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Prithviraj Ammanabrolu, Yejin Choi 0001, Xiang Ren 0001. [doi]
• Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied AgentsWonje Choi 0003, Woo Kyung Kim, Seunghyun Kim, Honguk Woo. [doi]
• On the choice of Perception Loss Function for Learned Video CompressionSadaf Salehkalaibar, Buu Phan, Jun Chen, Wei Yu 0001, Ashish Khisti. [doi]
• Binarized Neural Machine TranslationYichi Zhang 0006, Ankush Garg, Yuan Cao, Lukasz Lew, Behrooz Ghorbani, Zhiru Zhang, Orhan Firat. [doi]
• Spatio-Angular Convolutions for Super-resolution in Diffusion MRIMatthew Lyon, Paul A. Armitage, Mauricio A. Álvarez. [doi]
• Unleash the Potential of Image Branch for Cross-modal 3D Object DetectionYifan Zhang, Qijian Zhang, Junhui Hou, Yixuan Yuan, Guoliang Xing. [doi]
• Learning Energy-Based Prior Model with Diffusion-Amortized MCMCPeiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian Ma, RuiQi Gao, Song Chun Zhu, Ying Nian Wu. [doi]
• Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured LearningZachary Charles, Nicole Mitchell, Krishna Pillutla, Michael Reneer, Zachary Garrett. [doi]
• Data Pruning via Moving-one-Sample-outHaoru Tan, Sitong Wu, Fei Du, Yukang Chen, Zhibin Wang, Fan Wang, Xiaojuan Qi. [doi]
• Anchor Data AugmentationNora Schneider, Shirin Goshtasbpour, Fernando Pérez-Cruz. [doi]
• AV-NeRF: Learning Neural Fields for Real-World Audio-Visual Scene SynthesisSusan Liang, Chao Huang, Yapeng Tian, Anurag Kumar, Chenliang Xu. [doi]
• Black-box Backdoor Defense via Zero-shot Image PurificationYucheng Shi, Mengnan Du, Xuansheng Wu, Zihan Guan, Jin Sun, Ninghao Liu. [doi]
• Online Label Shift: Optimal Dynamic Regret meets Practical AlgorithmsDheeraj Baby, Saurabh Garg, Tzu-Ching Yen, Sivaraman Balakrishnan, Zachary C. Lipton, Yu-Xiang Wang 0003. [doi]
• Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent AlgorithmMiaoxi Zhu, Li Shen, Bo Du, Dacheng Tao. [doi]
• Human-Guided Complexity-Controlled AbstractionsAndi Peng, Mycal Tucker, Eoin M. Kenny, Noga Zaslavsky, Pulkit Agrawal, Julie A. Shah. [doi]
• Learning to Configure Separators in Branch-and-CutSirui Li, Wenbin Ouyang, Max B. Paulus, Cathy Wu 0002. [doi]
• AmadeusGPT: a natural language interface for interactive animal behavioral analysisShaokai Ye, Jessy Lauer, Mu Zhou, Alexander Mathis, Mackenzie W. Mathis. [doi]
• Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test TimeZichang Liu, Aditya Desai, Fangshuo Liao, Weitao Wang, Victor Xie, Zhaozhuo Xu, Anastasios Kyrillidis, Anshumali Shrivastava. [doi]
• FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual LearningDipam Goswami, Yuyang Liu, Bartlomiej Twardowski, Joost van de Weijer 0001. [doi]
• Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality FusionYang Liu, Feng Wang, Naiyan Wang, Zhao-Xiang Zhang. [doi]
• NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity UnderstandingMing Hu, Lin Wang, Siyuan Yan, Don Ma, Qingli Ren, Peng Xia, Wei Feng, Peibo Duan, Lie Ju, ZongYuan Ge. [doi]
• What You See is What You Read? Improving Text-Image Alignment EvaluationMichal Yarom, Yonatan Bitton, Soravit Changpinyo, Roee Aharoni, Jonathan Herzig, Oran Lang, Eran Ofek, Idan Szpektor. [doi]
• Sample Complexity of Forecast AggregationTao Lin, Yiling Chen. [doi]
• EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation ModelsMichael Wornow, Rahul Thapa, Ethan Steinberg, Jason A. Fries, Nigam Shah. [doi]
• Probabilistic Inference in Reinforcement Learning Done RightJean Tarbouriech, Tor Lattimore, Brendan O'Donoghue. [doi]
• VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric TasksWenhai Wang, Zhe Chen, Xiaokang Chen, Jiannan Wu, Xizhou Zhu, Gang Zeng, Ping Luo, Tong Lu, Jie Zhou, Yu Qiao, Jifeng Dai. [doi]
• GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph SearchXiao Zang, Miao Yin, Jinqi Xiao, Saman A. Zonouz, Bo Yuan 0001. [doi]
• Nonparametric Identifiability of Causal Representations from Unknown InterventionsJulius von Kügelgen, Michel Besserve, Wendong Liang, Luigi Gresele, Armin Kekic, Elias Bareinboim, David M. Blei, Bernhard Schölkopf. [doi]
• Active Negative Loss Functions for Learning with Noisy LabelsXichen Ye, Xiaoqiang Li, Songmin Dai, Tong Liu 0001, Yan Sun, Weiqin Tong. [doi]
• On Slicing Optimality for Mutual InformationAmmar Fayad, Majd Ibrahim. [doi]
• Reverse Engineering Self-Supervised LearningIdo Ben-Shaul, Ravid Shwartz-Ziv, Tomer Galanti, Shai Dekel, Yann LeCun. [doi]
• The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data OnlyGuilherme Penedo, Quentin Malartic, Daniel Hesslow, Ruxandra Cojocaru, Hamza Alobeidli, Alessandro Cappelli, Baptiste Pannier, Ebtesam Almazrouei, Julien Launay. [doi]
• Understanding the Latent Space of Diffusion Models through the Lens of Riemannian GeometryYong-Hyun Park, Mingi Kwon, Jaewoong Choi, Junghyo Jo, Youngjung Uh. [doi]
• A Unified Fast Gradient Clipping Framework for DP-SGDWeiwei Kong, Andrés Muñoz Medina. [doi]
• Not All Out-of-Distribution Data Are Harmful to Open-Set Active LearningYang Yang, Yuxuan Zhang, Xin Song, Yi Xu. [doi]
• Rotating Features for Object DiscoverySindy Löwe, Phillip Lippe, Francesco Locatello, Max Welling. [doi]
• ReMaX: Relaxing for Better Training on Efficient Panoptic SegmentationShuyang Sun, Weijun Wang, Andrew G. Howard, Qihang Yu, Philip H. S. Torr, Liang-Chieh Chen. [doi]
• A Dataset for Analyzing Streaming Media Performance over HTTP/3 BrowsersSapna Chaudhary, Mukulika Maity, Sandip Chakraborty, Naval Shukla. [doi]
• Revisiting Scalarization in Multi-Task Learning: A Theoretical PerspectiveYuzheng Hu, Ruicheng Xian, Qilong Wu 0002, Qiuling Fan, Lang Yin, Han Zhao 0002. [doi]
• SLM: A Smoothed First-Order Lagrangian Method for Structured Constrained Nonconvex OptimizationSongtao Lu. [doi]
• Attention as Implicit Structural InferenceRyan Singh, Christopher L. Buckley. [doi]
• Learning From Biased Soft LabelsHua Yuan, Yu Shi, Ning Xu, Xu Yang, Xin Geng, Yong Rui. [doi]
• CluB: Cluster Meets BEV for LiDAR-Based 3D Object DetectionYingjie Wang, Jiajun Deng, Yuenan Hou, Yao Li, Yu Zhang 0086, Jianmin Ji, Wanli Ouyang, Yanyong Zhang. [doi]
• Smooth, exact rotational symmetrization for deep learning on point cloudsSergey Pozdnyakov, Michele Ceriotti. [doi]
• Boosting Learning for LDPC Codes to Improve the Error-Floor PerformanceHeeyoul Kwak, Daeyoung Yun, Yongjune Kim 0001, Sang-Hyo Kim, Jong-Seon No. [doi]
• Meta-Learning Adversarial Bandit AlgorithmsMisha Khodak, Ilya Osadchiy, Keegan Harris, Maria-Florina Balcan, Kfir Y. Levy, Ron Meir, Steven Z. Wu. [doi]
• Conditional independence testing under misspecified inductive biasesFelipe Maia Polo, Yuekai Sun, Moulinath Banerjee. [doi]
• Learning Unseen Modality InteractionYunhua Zhang, Hazel Doughty, Cees Snoek. [doi]
• NetHack is Hard to HackUlyana Piterbarg, Lerrel Pinto, Rob Fergus. [doi]
• Cascading Bandits: Optimizing Recommendation Frequency in Delayed Feedback EnvironmentsDairui Wang, Junyu Cao, Yan Zhang, Wei Qi. [doi]
• AbDiffuser: full-atom generation of in-vitro functioning antibodiesKarolis Martinkus, Jan Ludwiczak, Wei-Ching Liang, Julien Lafrance-Vanasse, Isidro Hötzel, Arvind Rajpal, Yan Wu, KyungHyun Cho, Richard Bonneau, Vladimir Gligorijevic, Andreas Loukas. [doi]
• Unifying GANs and Score-Based Diffusion as Generative Particle ModelsJean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickaël Chen, Alain Rakotomamonjy. [doi]
• Model-Free Active Exploration in Reinforcement LearningAlessio Russo, Alexandre Proutière. [doi]
• Approximation-Generalization Trade-offs under (Approximate) Group EquivarianceMircea Petrache, Shubhendu Trivedi. [doi]
• Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features ModelPeter Súkeník, Marco Mondelli, Christoph H. Lampert. [doi]
• SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion ModelsShuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma. [doi]
• Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium ModelsTianxiang Gao, Xiaokai Huo, Hailiang Liu, Hongyang Gao. [doi]
• Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble ApproachYu-Hu Yan, Peng Zhao, Zhi-Hua Zhou. [doi]
• Scattering Vision Transformer: Spectral Mixing MattersBadri N. Patro, Vijay Srinivas Agneeswaran. [doi]
• Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature GroupingChunming He, Kai Li, Yachao Zhang, Guoxia Xu, Longxiang Tang, Yulun Zhang, Zhenhua Guo, Xiu Li. [doi]
• A Path to Simpler Models Starts With NoiseLesia Semenova, Harry Chen, Ronald Parr, Cynthia Rudin. [doi]
• Improving Adversarial Transferability via Intermediate-level Perturbation DecayQizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen. [doi]
• PromptRestorer: A Prompting Image Restoration Method with Degradation PerceptionCong Wang 0018, Jinshan Pan, Wei Wang 0335, Jiangxin Dong, Mengzhu Wang, Yakun Ju, Junyang Chen. [doi]
• Anytime Model Selection in Linear BanditsParnian Kassraie, Nicolas Emmenegger, Andreas Krause 0001, Aldo Pacchiano. [doi]
• Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance ReductionXiaowen Jiang, Sebastian U. Stich. [doi]
• Real-World Image Variation by Aligning Diffusion Inversion ChainYuechen Zhang, Jinbo Xing, Eric Lo 0001, Jiaya Jia. [doi]
• Solving Inverse Physics Problems with Score MatchingBenjamin J. Holzschuh, Simona Vegetti, Nils Thuerey. [doi]
• LoRA: A Logical Reasoning Augmented Dataset for Visual Question AnsweringJingying Gao, Qi Wu, Alan Blair, Maurice Pagnucco. [doi]
• Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RLYang Yue, Rui Lu, Bingyi Kang, Shiji Song, Gao Huang. [doi]
• SyncDiffusion: Coherent Montage via Synchronized Joint DiffusionsYuseung Lee, Kunho Kim, Hyunjin Kim, Minhyuk Sung. [doi]
• Individualized Dosing Dynamics via Neural Eigen DecompositionStav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor. [doi]
• Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task AgentsZihao Wang, Shaofei Cai, Guanzhou Chen, Anji Liu, Xiaojian Ma, Yitao Liang. [doi]
• Chameleon: Plug-and-Play Compositional Reasoning with Large Language ModelsPan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song Chun Zhu, Jianfeng Gao. [doi]
• D-CIPHER: Discovery of Closed-form Partial Differential EquationsKrzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar. [doi]
• PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation LearningFlorian Bordes, Shashank Shekhar, Mark Ibrahim, Diane Bouchacourt, Pascal Vincent, Ari Morcos. [doi]
• Payoff-based Learning with Matrix Multiplicative Weights in Quantum GamesKyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos, Jose H. Blanchet. [doi]
• 2-Uniform Stability of Randomized Learning Algorithms: Sharper Generalization Bounds and Confidence BoostingXiaotong Yuan, Ping Li 0001. [doi]
• Optimistic Rates for Multi-Task Representation LearningAustin Watkins, Enayat Ullah, Thanh Nguyen-Tang, Raman Arora. [doi]
• Online Nonstochastic Model-Free Reinforcement LearningUdaya Ghai, Arushi Gupta, Wenhan Xia, Karan Singh, Elad Hazan. [doi]
• Visual Instruction TuningHaotian Liu, Chunyuan Li, Qingyang Wu, Yong Jae Lee. [doi]
• 2CSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and DropoutsFenggen Yu, Qimin Chen, Maham Tanveer, Ali Mahdavi-Amiri, Hao Zhang. [doi]
• Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic GraphsPeng Jin, Yang Wu, Yanbo Fan, Zhongqian Sun, Wei Yang, Li Yuan 0007. [doi]
• Multi-Agent First Order Constrained Optimization in Policy SpaceYoupeng Zhao, Yaodong Yang 0001, Zhenbo Lu, Wengang Zhou, Houqiang Li. [doi]
• Generalized equivalences between subsampling and ridge regularizationPratik Patil, Jin-Hong Du. [doi]
• Simplifying Neural Network Training Under Class ImbalanceRavid Shwartz-Ziv, Micah Goldblum, Yucen Lily Li, C. Bayan Bruss, Andrew Gordon Wilson. [doi]
• What Do Deep Saliency Models Learn about Visual Attention?Shi Chen, Ming Jiang 0019, Qi Zhao 0001. [doi]
• Demystifying the Optimal Performance of Multi-Class ClassificationMinoh Jeong, Martina Cardone, Alex Dytso. [doi]
• Invariant Anomaly Detection under Distribution Shifts: A Causal PerspectiveJoão B. S. Carvalho, Mengtao Zhang, Robin Geyer, Carlos Cotrini, Joachim M. Buhmann. [doi]
• Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed RewardsBo Xue 0004, Yimu Wang, Yuanyu Wan, Jinfeng Yi, Lijun Zhang 0005. [doi]
• Online learning of long-range dependenciesNicolas Zucchet, Robert Meier, Simon Schug, Asier Mujika, João Sacramento. [doi]
• The Contextual Lasso: Sparse Linear Models via Deep Neural NetworksRyan Thompson, Amir Dezfouli, Robert Kohn. [doi]
• Segment Anything in High QualityLei Ke, Mingqiao Ye, Martin Danelljan, Yifan Liu, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu 0001. [doi]
• Defending against Data-Free Model Extraction by Distributionally Robust Defensive TrainingZhenyi Wang, Li Shen, Tongliang Liu, Tiehang Duan, Yanjun Zhu, Donglin Zhan, David S. Doermann, Mingchen Gao. [doi]
• Learning Shared Safety Constraints from Multi-task DemonstrationsKonwoo Kim, Gokul Swamy, Zuxin Liu, Ding Zhao, Sanjiban Choudhury, Steven Z. Wu. [doi]
• Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal AlgorithmsQian Yu, Yining Wang, Baihe Huang, Qi Lei, Jason D. Lee. [doi]
• Composable Coresets for Determinant Maximization: Greedy is Almost OptimalSiddharth Gollapudi, Sepideh Mahabadi, Varun Sivashankar. [doi]
• MathNAS: If Blocks Have a Role in Mathematical Architecture DesignQinsi Wang, JingHan Ke, Zhi Liang, Sihai Zhang. [doi]
• Learning to Augment Distributions for Out-of-distribution DetectionQizhou Wang, Zhen Fang, Yonggang Zhang, Feng Liu, Yixuan Li, Bo Han. [doi]
• Federated Learning with Manifold Regularization and Normalized Update ReaggregationXuming An, Li Shen, Han Hu 0003, Yong Luo. [doi]
• Understanding the detrimental class-level effects of data augmentationPolina Kirichenko, Mark Ibrahim, Randall Balestriero, Diane Bouchacourt, Shanmukha Ramakrishna Vedantam, Hamed Firooz, Andrew Gordon Wilson. [doi]
• ClusterFomer: Clustering As A Universal Visual LearnerJames Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu. [doi]
• Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice PerspectiveZhiding Liu, Mingyue Cheng, Zhi Li, Zhenya Huang, Qi Liu, Yanhu Xie, Enhong Chen. [doi]
• Interpretable Prototype-based Graph Information BottleneckSangwoo Seo, Sungwon Kim 0002, Chanyoung Park. [doi]
• High-Fidelity Audio Compression with Improved RVQGANRithesh Kumar, Prem Seetharaman, Alejandro Luebs, Ishaan Kumar, Kundan Kumar. [doi]
• Skill-it! A data-driven skills framework for understanding and training language modelsMayee F. Chen, Nicholas Roberts, Kush Bhatia, Jue Wang, Ce Zhang, Frederic Sala, Christopher Ré. [doi]
• Exploiting Correlated Auxiliary Feedback in Parameterized BanditsArun Verma, Zhongxiang Dai, Yao Shu, Bryan Kian Hsiang Low. [doi]
• Class-Conditional Conformal Prediction with Many ClassesTiffany Ding, Anastasios Angelopoulos, Stephen Bates, Michael I. Jordan, Ryan J. Tibshirani. [doi]
• Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation ModelsYichao Cao, Qingfei Tang, Xiu Su, Song Chen, Shan You, Xiaobo Lu, Chang Xu. [doi]
• Fast Trainable Projection for Robust Fine-tuningJunjiao Tian, Yen-Cheng Liu, James Seale Smith, Zsolt Kira. [doi]
• Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained ModelsGuillermo Ortiz-Jiménez, Alessandro Favero, Pascal Frossard. [doi]
• Active Vision Reinforcement Learning under Limited Visual ObservabilityJinghuan Shang, Michael S. Ryoo. [doi]
• Training Chain-of-Thought via Latent-Variable InferenceMatthew Douglas Hoffman, Du Phan, David Dohan, Sholto Douglas, Tuan Anh Le, Aaron Parisi, Pavel Sountsov, Charles Sutton, Sharad Vikram, Rif A. Saurous. [doi]
• RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head AvatarsDongwei Pan, Long Zhuo, Jingtan Piao, Huiwen Luo, Wei Cheng, Yuxin Wang, Siming Fan, Shengqi Liu, Lei Yang, Bo Dai 0002, Ziwei Liu, Chen Change Loy, Chen Qian 0006, Wayne Wu, Dahua Lin, Kwan-Yee Lin. [doi]
• Causal Fairness for Outcome ControlDrago Plecko, Elias Bareinboim. [doi]
• Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical PropertiesHsiao-Yu Tung, Mingyu Ding, Zhenfang Chen, Daniel Bear, Chuang Gan, Josh Tenenbaum 0001, Dan Yamins, Judith E. Fan, Kevin A. Smith. [doi]
• Task-aware Distributed Source Coding under Dynamic BandwidthPo-han Li, Sravan Kumar Ankireddy, Ruihan Philip Zhao, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Ufuk Topcu, Sandeep Chinchali, Hyeji Kim. [doi]
• Stable Nonconvex-Nonconcave Training via Linear InterpolationThomas Pethick, Wanyun Xie, Volkan Cevher. [doi]
• Learning Invariant Representations of Graph Neural Networks via Cluster GeneralizationDonglin Xia, Xiao Wang, Nian Liu, Chuan Shi. [doi]
• Recurrent Temporal Revision Graph NetworksYizhou Chen, Anxiang Zeng, Qingtao Yu, Kerui Zhang, Yuanpeng Cao, Kangle Wu, Guangda Huzhang, Han Yu 0001, Zhiming Zhou. [doi]
• Active Learning for Semantic Segmentation with Multi-class Label QuerySehyun Hwang, Sohyun Lee, Hoyoung Kim, Minhyeon Oh, Jungseul Ok, Suha Kwak. [doi]
• NAP: Neural 3D Articulated Object PriorJiahui Lei, Congyue Deng, William B. Shen, Leonidas J. Guibas, Kostas Daniilidis. [doi]
• ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLPLu Yan, Zhuo Zhang 0002, Guanhong Tao 0001, Kaiyuan Zhang 0002, Xuan Chen, Guangyu Shen, Xiangyu Zhang. [doi]
• Adapting Neural Link Predictors for Data-Efficient Complex Query AnsweringErik Arakelyan, Pasquale Minervini, Daniel Daza, Michael Cochez, Isabelle Augenstein. [doi]
• PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust GeneralizationJiancong Xiao, Ruoyu Sun 0001, Zhi-Quan Luo. [doi]
• CaMP: Causal Multi-policy Planning for Interactive Navigation in Multi-room ScenesXiaohan Wang, Yuehu Liu, Xinhang Song, Beibei Wang, Shuqiang Jiang. [doi]
• Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy LabelsZhen Liu, Peitian Ma, Dongliang Chen, WenBin Pei, Qianli Ma 0001. [doi]
• Private Everlasting PredictionMoni Naor, Kobbi Nissim, Uri Stemmer, Chao Yan. [doi]
• Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk CriterionTaehyun Cho, Seungyub Han, Heesoo Lee, Kyungjae Lee, Jungwoo Lee 0001. [doi]
• Rank-1 Matrix Completion with Gradient Descent and Small Random InitializationDaesung Kim, Hye Won Chung. [doi]
• On the Statistical Consistency of Risk-Sensitive Bayesian Decision-MakingPrateek Jaiswal, Harsha Honnappa, Vinayak A. Rao. [doi]
• On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport PerspectiveMathieu Serrurier, Franck Mamalet, Thomas Fel, Louis Béthune, Thibaut Boissin. [doi]
• Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral SeriationWeihang Dai, Yao Du, Hanru Bai, Kwang-Ting Cheng, Xiaomeng Li 0001. [doi]
• Convergence of Actor-Critic with Multi-Layer Neural NetworksHaoxing Tian, Alex Olshevsky, Yannis Paschalidis. [doi]
• Multi-Fidelity Multi-Armed Bandits RevisitedXuchuang Wang, Qingyun Wu, Wei Chen 0013, John C. S. Lui. [doi]
• Front-door Adjustment Beyond Markov Equivalence with Limited Graph KnowledgeAbhin Shah, Karthikeyan Shanmugam, Murat Kocaoglu. [doi]
• Randomized and Deterministic Maximin-share Approximations for Fractionally Subadditive ValuationsHannaneh Akrami, Kurt Mehlhorn, Masoud Seddighin, Golnoosh Shahkarami. [doi]
• Linear Time Algorithms for k-means with Multi-Swap Local SearchJunyu Huang, Qilong Feng, Ziyun Huang, Jinhui Xu 0001, Jianxin Wang 0001. [doi]
• GRAND-SLAMIN' Interpretable Additive Modeling with Structural ConstraintsShibal Ibrahim, Gabriel Afriat, Kayhan Behdin, Rahul Mazumder. [doi]
• PriorBand: Practical Hyperparameter Optimization in the Age of Deep LearningNeeratyoy Mallik, Edward Bergman, Carl Hvarfner, Danny Stoll, Maciej Janowski, Marius Lindauer, Luigi Nardi, Frank Hutter. [doi]
• SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural NetworkYuting Hu, Jiajie Li, Florian Klemme, Gi-Joon Nam, Tengfei Ma, Hussam Amrouch, Jinjun Xiong. [doi]
• Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient UpdatesGuangchen Lan, Han Wang, James Anderson, Christopher G. Brinton, Vaneet Aggarwal. [doi]
• Accurate Interpolation for Scattered Data through Hierarchical Residual RefinementShizhe Ding, Boyang Xia, Dongbo Bu. [doi]
• Tracking Most Significant Shifts in Nonparametric Contextual BanditsJoe Suk, Samory Kpotufe. [doi]
• Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial DefenseZunzhi You, Daochang Liu, Bohyung Han, Chang Xu 0002. [doi]
• Coherent Soft Imitation LearningJoe Watson, Sandy H. Huang, Nicolas Heess. [doi]
• Tanh Works Better with AsymmetryDongjin Kim, Woojeong Kim, Suhyun Kim. [doi]
• Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimalityLiyuan Wang, Jingyi Xie, Xingxing Zhang, Mingyi Huang, Hang Su, Jun Zhu. [doi]
• Learning Mixtures of Gaussians Using the DDPM ObjectiveKulin Shah, Sitan Chen, Adam R. Klivans. [doi]
• A3FL: Adversarially Adaptive Backdoor Attacks to Federated LearningHangfan Zhang, Jinyuan Jia, Jinghui Chen, Lu Lin, Dinghao Wu. [doi]
• Leave No Stone Unturned: Mine Extra Knowledge for Imbalanced Facial Expression RecognitionYuhang Zhang, Yaqi Li, Lixiong Qin, Xuannan Liu, Weihong Deng. [doi]
• LayoutGPT: Compositional Visual Planning and Generation with Large Language ModelsWeixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Xuehai He, Sugato Basu, Xin Eric Wang, William Yang Wang. [doi]
• EMBERSim: A Large-Scale Databank for Boosting Similarity Search in Malware AnalysisDragos-Georgian Corlatescu, Alexandru Dinu, Mihaela Gaman, Paul Sumedrea. [doi]
• Curvature Filtrations for Graph Generative Model EvaluationJoshua Southern, Jeremy Wayland, Michael Bronstein, Bastian Rieck. [doi]
• CAST: Cross-Attention in Space and Time for Video Action RecognitionDongho Lee, Jongseo Lee, Jinwoo Choi. [doi]
• How to Turn Your Knowledge Graph Embeddings into Generative ModelsLorenzo Loconte, Nicola Di Mauro, Robert Peharz, Antonio Vergari. [doi]
• Robust Concept Erasure via Kernelized Rate-Distortion MaximizationSomnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Amr Ahmed 0001, Snigdha Chaturvedi. [doi]
• (Provable) Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and MoreJan Schuchardt, Yan Scholten, Stephan Günnemann. [doi]
• Self-supervised Graph Neural Networks via Low-Rank DecompositionLiang Yang, Runjie Shi, Qiuliang Zhang, Bingxin Niu, Zhen Wang, Xiaochun Cao, Chuan Wang. [doi]
• Towards Personalized Federated Learning via Heterogeneous Model ReassemblyJiaqi Wang, Xingyi Yang, Suhan Cui, Liwei Che, Lingjuan Lyu, Dongkuan Xu, Fenglong Ma. [doi]
• SSL4EO-L: Datasets and Foundation Models for Landsat ImageryAdam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee 0001. [doi]
• Evolving Standardization for Continual Domain Generalization over Temporal DriftMixue Xie, Shuang Li 0008, Longhui Yuan, Chi Harold Liu, Zehui Dai. [doi]
• Crystal Structure Prediction by Joint Equivariant DiffusionRui Jiao, Wenbing Huang 0001, Peijia Lin, Jiaqi Han, Pin Chen, Yutong Lu, Yang Liu. [doi]
• FACE: Evaluating Natural Language Generation with Fourier Analysis of Cross-EntropyZuhao Yang, Yingfang Yuan, Yang Xu, Shuo Zhan, Huajun Bai, Kefan Chen. [doi]
• Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated ImagesZeyu Lu, Di Huang, Lei Bai 0001, Jingjing Qu, Chengyue Wu, Xihui Liu, Wanli Ouyang. [doi]
• Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous RewardsMengfan Xu, Diego Klabjan. [doi]
• Norm-based Generalization Bounds for Sparse Neural NetworksTomer Galanti, Mengjia Xu, Liane Galanti, Tomaso A. Poggio. [doi]
• SoTTA: Robust Test-Time Adaptation on Noisy Data StreamsTaesik Gong, Yewon Kim, Taeckyung Lee, Sorn Chottananurak, Sung-Ju Lee. [doi]
• You Only Condense Once: Two Rules for Pruning Condensed DatasetsYang He, Lingao Xiao, Joey Tianyi Zhou. [doi]
• Wyze Rule: Federated Rule Dataset for Rule Recommendation BenchmarkingMohammad Mahdi Kamani, Yuhang Yao, Hanjia Lyu, Zhongwei Cheng, Lin Chen, Liangju Li, Carlee Joe-Wong, Jiebo Luo. [doi]
• Connecting Pre-trained Language Model and Downstream Task via Properties of RepresentationChenwei Wu 0002, Holden Lee, Rong Ge 0001. [doi]
• Demo2Code: From Summarizing Demonstrations to Synthesizing Code via Extended Chain-of-ThoughtYuki Wang, Gonzalo Gonzalez-Pumariega, Yash Sharma, Sanjiban Choudhury. [doi]
• Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model GeneralizationAdel Javanmard, Vahab Mirrokni. [doi]
• HOH: Markerless Multimodal Human-Object-Human Handover Dataset with Large Object CountNoah Wiederhold, Ava Megyeri, DiMaggio Paris, Sean Banerjee, Natasha Banerjee. [doi]
• Improving Compositional Generalization using Iterated Learning and Simplicial EmbeddingsYi Ren, Samuel Lavoie, Michael Galkin, Danica J. Sutherland, Aaron C. Courville. [doi]
• Variational Gaussian processes for linear inverse problemsThibault Randrianarisoa, Botond Szabó. [doi]
• Convex-Concave Zero-Sum Stochastic Stackelberg GamesDenizalp Goktas, Arjun Prakash, Amy Greenwald. [doi]
• Dataset Diffusion: Diffusion-based Synthetic Data Generation for Pixel-Level Semantic SegmentationQuang Nguyen 0001, Truong Vu, Anh Tran, Khoi Nguyen. [doi]
• Maximize to Explore: One Objective Function Fusing Estimation, Planning, and ExplorationZhihan Liu, Miao Lu, Wei Xiong, Han Zhong, Hao Hu, Shenao Zhang, Sirui Zheng, Zhuoran Yang, Zhaoran Wang 0001. [doi]
• DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in HistopathologyMarco Aversa, Gabriel Nobis, Miriam Hägele, Kai Standvoss, Mihaela Chirica, Roderick Murray-Smith, Ahmed M. Alaa, Lukas Ruff, Daniela Ivanova, Wojciech Samek, Frederick Klauschen, Bruno Sanguinetti, Luis Oala. [doi]
• Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model TrainingJian Meng, Li Yang 0009, Kyungmin Lee, Jinwoo Shin, Deliang Fan, Jae-sun Seo. [doi]
• Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map AlignmentRoyi Rassin, Eran Hirsch, Daniel Glickman, Shauli Ravfogel, Yoav Goldberg, Gal Chechik. [doi]
• User-Level Differential Privacy With Few Examples Per UserBadih Ghazi, Pritish Kamath, Ravi Kumar 0001, Pasin Manurangsi, Raghu Meka, Chiyuan Zhang. [doi]
• Customizable Image Synthesis with Multiple SubjectsZhiheng Liu, Yifei Zhang, Yujun Shen, Kecheng Zheng, Kai Zhu, Ruili Feng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao. [doi]
• Robust Learning with Progressive Data Expansion Against Spurious CorrelationYihe Deng, Yu Yang, Baharan Mirzasoleiman, Quanquan Gu. [doi]
• On Private and Robust BanditsYulian Wu, Xingyu Zhou 0001, Youming Tao 0001, Di Wang 0015. [doi]
• Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function ApproximationNikki Lijing Kuang, Ming Yin 0003, Mengdi Wang, Yu-Xiang Wang 0003, Yian Ma. [doi]
• InterCode: Standardizing and Benchmarking Interactive Coding with Execution FeedbackJohn Yang, Akshara Prabhakar, Karthik Narasimhan, Shunyu Yao. [doi]
• Causal discovery from observational and interventional data across multiple environmentsAdam Li, Amin Jaber, Elias Bareinboim. [doi]
• An Information-Theoretic Evaluation of Generative Models in Learning Multi-modal DistributionsMohammad Jalali, Cheuk Ting Li, Farzan Farnia. [doi]
• HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide ResolutionEric Nguyen, Michael Poli, Marjan Faizi, Armin W. Thomas, Michael Wornow, Callum Birch-Sykes, Stefano Massaroli, Aman Patel, Clayton M. Rabideau, Yoshua Bengio, Stefano Ermon, Christopher Ré, Stephen Baccus. [doi]
• 3D-LLM: Injecting the 3D World into Large Language ModelsYining Hong, Haoyu Zhen, Peihao Chen, Shuhong Zheng, Yilun Du, Zhenfang Chen, Chuang Gan. [doi]
• Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World ModelsYeongbin Kim, Gautam Singh, Junyeong Park, Çaglar Gülçehre, Sungjin Ahn. [doi]
• NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose AnnotationsVarun Jampani, Kevis-Kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, André Araújo 0001, Ricardo Martin-Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu 0001, Yuanzhen Li, Howard Zhou. [doi]
• On the Importance of Feature Separability in Predicting Out-Of-Distribution ErrorRenchunzi Xie, Hongxin Wei, Lei Feng 0006, Yuzhou Cao, Bo An 0001. [doi]
• SALSA VERDE: a machine learning attack on LWE with sparse small secretsCathy Yuanchen Li, Emily Wenger, Zeyuan Allen Zhu, François Charton, Kristin E. Lauter. [doi]
• Compositional Generalization from First PrinciplesThaddäus Wiedemer, Prasanna Mayilvahanan, Matthias Bethge, Wieland Brendel. [doi]
• A Unified Approach for Maximizing Continuous DR-submodular FunctionsMohammad Pedramfar, Christopher J. Quinn, Vaneet Aggarwal. [doi]
• Differentially Private Decoupled Graph Convolutions for Multigranular Topology ProtectionEli Chien, Wei-Ning Chen, Chao Pan 0003, Pan Li 0005, Ayfer Özgür, Olgica Milenkovic. [doi]
• Matrix Compression via Randomized Low Rank and Low Precision FactorizationRajarshi Saha, Varun Srivastava, Mert Pilanci. [doi]
• A Unified Solution for Privacy and Communication Efficiency in Vertical Federated LearningGanyu Wang, Bin Gu 0001, Qingsong Zhang, Xiang Li, Boyu Wang, Charles X. Ling. [doi]
• Self-Supervised Learning with Lie Symmetries for Partial Differential EquationsGrégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun, Bobak T. Kiani. [doi]
• DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic ModelYuanshao Zhu, Yongchao Ye, Shiyao Zhang, Xiangyu Zhao, James Yu. [doi]
• Time-Independent Information-Theoretic Generalization Bounds for SGLDFutoshi Futami, Masahiro Fujisawa. [doi]
• IPUAlexander Mathiasen, Hatem Helal, Kerstin Klaser, Paul Balanca, Josef Dean, Carlo Luschi, Dominique Beaini, Andrew W. Fitzgibbon, Dominic Masters. [doi]
• On the Constrained Time-Series Generation ProblemAndrea Coletta, Sriram Gopalakrishnan, Daniel Borrajo, Svitlana Vyetrenko. [doi]
• Transferable Adversarial Robustness for Categorical Data via Universal Robust EmbeddingsKlim Kireev, Maksym Andriushchenko, Carmela Troncoso, Nicolas Flammarion. [doi]
• Tree-Rings Watermarks: Invisible Fingerprints for Diffusion ImagesYuxin Wen, John Kirchenbauer, Jonas Geiping, Tom Goldstein. [doi]
• A Measure-Theoretic Axiomatisation of CausalityJunhyung Park, Simon Buchholz, Bernhard Schölkopf, Krikamol Muandet. [doi]
• A Partially-Supervised Reinforcement Learning Framework for Visual Active SearchAnindya Sarkar, Nathan Jacobs, Yevgeniy Vorobeychik. [doi]
• DICES Dataset: Diversity in Conversational AI Evaluation for SafetyLora Aroyo, Alex S. Taylor, Mark Díaz, Christopher Homan, Alicia Parrish, Gregory Serapio-García, Vinodkumar Prabhakaran, Ding Wang. [doi]
• CAT-Walk: Inductive Hypergraph Learning via Set WalksAli Behrouz, Farnoosh Hashemi, Sadaf Sadeghian, Margo I. Seltzer. [doi]
• A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic InferenceEmile van Krieken, Thiviyan Thanapalasingam, Jakub M. Tomczak, Frank van Harmelen, Annette ten Teije. [doi]
• Intriguing Properties of Quantization at ScaleArash Ahmadian, Saurabh Dash, Hongyu Chen, Bharat Venkitesh, Stephen Zhen Gou, Phil Blunsom, Ahmet Üstün, Sara Hooker. [doi]
• On Single-Index Models beyond Gaussian DataAaron Zweig, Loucas Pillaud-Vivien, Joan Bruna. [doi]
• Subspace Identification for Multi-Source Domain AdaptationZijian Li 0001, Ruichu Cai, Guangyi Chen 0002, Boyang Sun, Zhifeng Hao, Kun Zhang 0001. [doi]
• LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and BenchmarkZhenfei Yin, Jiong Wang, Jianjian Cao, Zhelun Shi, Dingning Liu, Mukai Li, Xiaoshui Huang, Zhiyong Wang 0001, Lu Sheng, Lei Bai 0001, Jing Shao, Wanli Ouyang. [doi]
• Imagine That! Abstract-to-Intricate Text-to-Image Synthesis with Scene Graph Hallucination DiffusionShengqiong Wu, Hao Fei 0001, Hanwang Zhang, Tat-Seng Chua. [doi]
• Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive TasksMinki Kang, Seanie Lee, Jinheon Baek, Kenji Kawaguchi, Sung Ju Hwang. [doi]
• Learning Efficient Surrogate Dynamic Models with Graph Spline NetworksChuanbo Hua, Federico Berto, Michael Poli, Stefano Massaroli, Jinkyoo Park. [doi]
• Black-Box Differential Privacy for Interactive MLHaim Kaplan, Yishay Mansour, Shay Moran, Kobbi Nissim, Uri Stemmer. [doi]
• IBA: Towards Irreversible Backdoor Attacks in Federated LearningThuy Dung Nguyen, Tuan Nguyen, Anh Tran, Khoa D. Doan, Kok Seng Wong. [doi]
• Single-Pass Pivot Algorithm for Correlation Clustering. Keep it simple!Konstantin Makarychev, Sayak Chakrabarty. [doi]
• Private estimation algorithms for stochastic block models and mixture modelsHongjie Chen, Vincent Cohen-Addad, Tommaso d'Orsi, Alessandro Epasto, Jacob Imola, David Steurer, Stefan Tiegel. [doi]
• Implicit Bias of (Stochastic) Gradient Descent for Rank-1 Linear Neural NetworkBochen Lyu, Zhanxing Zhu. [doi]
• Debiasing Conditional Stochastic OptimizationLie He, Shiva Prasad Kasiviswanathan. [doi]
• A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect DatasetZahra Gharaee, ZeMing Gong, Nicholas Pellegrino, Iuliia Zarubiieva, Joakim Bruslund Haurum, Scott C. Lowe, Jaclyn T. A. McKeown, Chris C. Y. Ho, Joschka McLeod, Yi-Yun C. Wei, Jireh Agda, Sujeevan Ratnasingham, Dirk Steinke, Angel X. Chang, Graham W. Taylor, Paul W. Fieguth. [doi]
• Variational Inference with Gaussian Score MatchingChirag Modi, Robert Gower, Charles Margossian, Yuling Yao, David M. Blei, Lawrence K. Saul. [doi]
• Humans in Kitchens: A Dataset for Multi-Person Human Motion Forecasting with Scene ContextJulian Tanke, Oh-Hun Kwon, Felix B. Mueller, Andreas Doering, Jürgen Gall. [doi]
• Extremal Domain Translation with Neural Optimal TransportMilena Gazdieva, Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev. [doi]
• Structured Neural-PI Control with End-to-End Stability and Output Tracking GuaranteesWenqi Cui, Yan Jiang, Baosen Zhang, Yuanyuan Shi. [doi]
• Autodecoding Latent 3D Diffusion ModelsEvangelos Ntavelis, Aliaksandr Siarohin, Kyle Olszewski, Chaoyang Wang, Luc Van Gool, Sergey Tulyakov. [doi]
• Decision Stacks: Flexible Reinforcement Learning via Modular Generative ModelsSiyan Zhao, Aditya Grover. [doi]
• Large Language Models can Implement Policy IterationEthan A. Brooks, Logan Walls, Richard L. Lewis, Satinder Singh 0001. [doi]
• Improving Diffusion-Based Image Synthesis with Context PredictionLing Yang 0006, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin Cui 0001. [doi]
• Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic SettingsPulkit Verma 0001, Rushang Karia, Siddharth Srivastava 0001. [doi]
• On the Learnability of Multilabel RankingVinod Raman, Unique Subedi, Ambuj Tewari. [doi]
• NeRF Revisited: Fixing Quadrature Instability in Volume RenderingMikaela Angelina Uy, Kiyohiro Nakayama, Guandao Yang, Rahul Krishna Thomas, Leonidas J. Guibas, Ke Li. [doi]
• ChimpACT: A Longitudinal Dataset for Understanding Chimpanzee BehaviorsXiaoxuan Ma, Stephan P. Kaufhold, Jiajun Su, Wentao Zhu, Jack Terwilliger, Andres Meza, Yixin Zhu 0001, Federico Rossano, Yizhou Wang 0001. [doi]
• Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance DecompositionDivin Yan, Gengchen Wei, Chen Yang, Shengzhong Zhang, Zengfeng Huang. [doi]
• Policy Gradient for Rectangular Robust Markov Decision ProcessesNavdeep Kumar, Esther Derman, Matthieu Geist, Kfir Y. Levy, Shie Mannor. [doi]
• Optimal Unbiased Randomizers for Regression with Label Differential PrivacyAshwinkumar Badanidiyuru Varadaraja, Badih Ghazi, Pritish Kamath, Ravi Kumar 0001, Ethan Leeman, Pasin Manurangsi, Avinash V. Varadarajan, Chiyuan Zhang. [doi]
• Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion ModelsGeon Yeong Park, Jeongsol Kim, Beomsu Kim, Sang Wan Lee, Jong Chul Ye. [doi]
• Towards Better Dynamic Graph Learning: New Architecture and Unified LibraryLe Yu 0004, Leilei Sun, Bowen Du 0001, Weifeng Lv. [doi]
• Uncovering motifs of concurrent signaling across multiple neuronal populationsEvren Gokcen, Anna Jasper, Alison Xu, Adam Kohn, Christian K. Machens, Byron M. Yu. [doi]
• Metropolis Sampling for Constrained Diffusion ModelsNic Fishman, Leo Klarner, Emile Mathieu, Michael Hutchinson, Valentin De Bortoli. [doi]
• Social Motion Prediction with Cognitive HierarchiesWentao Zhu, Jason Qin, Yuke Lou, Hang Ye 0002, Xiaoxuan Ma, Hai Ci, Yizhou Wang 0001. [doi]
• The Geometry of Neural Nets' Parameter Spaces Under ReparametrizationAgustinus Kristiadi, Felix Dangel, Philipp Hennig. [doi]
• Auditing Fairness by BettingBen Chugg, Santiago Cortes-Gomez, Bryan Wilder, Aaditya Ramdas. [doi]
• Scalable 3D Captioning with Pretrained ModelsTiange Luo, Chris Rockwell 0001, Honglak Lee, Justin Johnson 0001. [doi]
• Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution ShiftYuan Jiang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang. [doi]
• Generalization in the Face of Adaptivity: A Bayesian PerspectiveMoshe Shenfeld, Katrina Ligett. [doi]
• KAKURENBO: Adaptively Hiding Samples in Deep Neural Network TrainingTruong Thao Nguyen, Balazs Gerofi, Edgar Josafat Martinez-Noriega, François Trahay, Mohamed Wahib. [doi]
• Facing Off World Model Backbones: RNNs, Transformers, and S4Fei Deng, Junyeong Park, Sungjin Ahn. [doi]
• Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image SynthesisZhiyu Jin, Xuli Shen, Bin Li 0015, Xiangyang Xue. [doi]
• Provable Guarantees for Nonlinear Feature Learning in Three-Layer Neural NetworksEshaan Nichani, Alex Damian, Jason D. Lee. [doi]
• Block Coordinate Plug-and-Play Methods for Blind Inverse ProblemsWeijie Gan, Shirin Shoushtari, Yuyang Hu, Jiaming Liu 0001, Hongyu An, Ulugbek Kamilov. [doi]
• A Hierarchical Spatial Transformer for Massive Point Samples in Continuous SpaceWenchong He, Zhe Jiang 0001, Tingsong Xiao, Zelin Xu, Shigang Chen, Ronald Fick, Miles Medina, Christine Angelini. [doi]
• Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget ConstraintsSoumyabrata Pal, Arun Sai Suggala, Karthikeyan Shanmugam, Prateek Jain 0002. [doi]
• Causal Interpretation of Self-Attention in Pre-Trained TransformersRaanan Y. Rohekar, Yaniv Gurwicz, Shami Nisimov. [doi]
• Distributionally Robust Skeleton Learning of Discrete Bayesian NetworksYeshu Li, Brian D. Ziebart. [doi]
• VideoComposer: Compositional Video Synthesis with Motion ControllabilityXiang Wang, Hangjie Yuan, Shiwei Zhang, Dayou Chen, Jiuniu Wang, Yingya Zhang, Yujun Shen, Deli Zhao, Jingren Zhou. [doi]
• Low-shot Object Learning with Mutual Exclusivity BiasAnh Thai, Ahmad Humayun, Stefan Stojanov, Zixuan Huang 0001, Bikram Boote, James M. Rehg. [doi]
• LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision ScenariosYazhe Niu, Yuan Pu, Zhenjie Yang, Xueyan Li, Tong Zhou, Jiyuan Ren, Shuai Hu, Hongsheng Li, Yu Liu. [doi]
• Quantification of Uncertainty with Adversarial ModelsKajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Günter Klambauer, Sepp Hochreiter. [doi]
• Learning Mask-aware CLIP Representations for Zero-Shot SegmentationSiyu Jiao, Yunchao Wei, Yaowei Wang 0001, Yao Zhao 0001, Humphrey Shi. [doi]
• Riemannian SAM: Sharpness-Aware Minimization on Riemannian ManifoldsJihun Yun, Eunho Yang. [doi]
• Harnessing the power of choices in decision tree learningGuy Blanc, Jane Lange, Chirag Pabbaraju, Colin Sullivan, Li-Yang Tan, Mo Tiwari. [doi]
• Error Discovery By Clustering Influence EmbeddingsFulton Wang, Julius Adebayo, Sarah Tan, Diego García-Olano, Narine Kokhlikyan. [doi]
• Emergent Correspondence from Image DiffusionLuming Tang, Menglin Jia, Qianqian Wang, Cheng Perng Phoo, Bharath Hariharan. [doi]
• Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial ExamplesShaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu. [doi]
• AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody InteractionsHirofumi Tsuruta, Hiroyuki Yamazaki, Ryota Maeda, Ryotaro Tamura, Jennifer N. Wei, Zelda E. Mariet, Poomarin Phloyphisut, Hidetoshi Shimokawa, Joseph R. Ledsam, Lucy J. Colwell, Akihiro Imura. [doi]
• S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist CaptionsSangwoo Mo, Minkyu Kim 0004, Kyungmin Lee, Jinwoo Shin. [doi]
• Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented TasksMaxime Chevalier-Boisvert, Bolun Dai, Mark Towers, Rodrigo Perez-Vicente, Lucas Willems, Salem Lahlou, Suman Pal, Pablo Samuel Castro, Jordan Terry. [doi]
• Language Quantized AutoEncoders: Towards Unsupervised Text-Image AlignmentHao Liu, Wilson Yan, Pieter Abbeel. [doi]
• Spike-driven TransformerMan Yao, Jiakui Hu, Zhaokun Zhou, Li Yuan 0007, Yonghong Tian 0001, Bo Xu 0002, Guoqi Li. [doi]
• FELM: Benchmarking Factuality Evaluation of Large Language ModelsShiqi Chen, Yiran Zhao, Jinghan Zhang, I-Chun Chern, Siyang Gao, Pengfei Liu 0003, Junxian He. [doi]
• PAPR: Proximity Attention Point RenderingYanshu Zhang, Shichong Peng, Alireza Moazeni, Ke Li 0011. [doi]
• Analyzing Vision Transformers for Image Classification in Class Embedding SpaceMartina G. Vilas, Timothy Schaumlöffel, Gemma Roig. [doi]
• Reliable Off-Policy Learning for Dosage CombinationsJonas Schweisthal, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel. [doi]
• Optimization of Inter-group criteria for clustering with minimum size constraintsEduardo Sany Laber, Lucas Murtinho. [doi]
• Reinforcement Learning with Fast and Forgetful MemorySteven D. Morad, Ryan Kortvelesy, Stephan Liwicki, Amanda Prorok. [doi]
• Neural Sampling in Hierarchical Exponential-family Energy-based ModelsXingsi Dong, Si Wu 0001. [doi]
• Fairness-guided Few-shot Prompting for Large Language ModelsHuan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu. [doi]
• AutoGO: Automated Computation Graph Optimization for Neural Network EvolutionMohammad Salameh, Keith G. Mills, Negar Hassanpour, Fred X. Han, Shuting Zhang, Wei Lu 0023, Shangling Jui, ChunHua Zhou, Fengyu Sun, Di Niu. [doi]
• Generator Identification for Linear SDEs with Additive and Multiplicative NoiseYuanyuan Wang, Xi Geng, Wei Huang, Biwei Huang, Mingming Gong. [doi]
• Top-Ambiguity Samples Matter: Understanding Why Deep Ensemble Works in Selective ClassificationQiang Ding, Yixuan Cao, Ping Luo 0001. [doi]
• Protein Design with Guided Discrete DiffusionNate Gruver, Samuel Stanton, Nathan C. Frey, Tim G. J. Rudner, Isidro Hötzel, Julien Lafrance-Vanasse, Arvind Rajpal, KyungHyun Cho, Andrew Gordon Wilson. [doi]
• Focus Your Attention when Few-Shot ClassificationHaoqing Wang, Shibo Jie, Zhihong Deng. [doi]
• Disentangling Voice and Content with Self-Supervision for Speaker RecognitionTianchi Liu 0004, Kong-Aik Lee, Qiongqiong Wang, Haizhou Li 0001. [doi]
• Differentially Private Image Classification by Learning Priors from Random ProcessesXinyu Tang, Ashwinee Panda, Vikash Sehwag, Prateek Mittal. [doi]
• On the Implicit Bias of Linear Equivariant Steerable NetworksZiyu Chen, Wei Zhu. [doi]
• Extensible Prompts for Language Models on Zero-shot Language Style CustomizationTao Ge 0001, Hu Jing 0001, Li Dong 0004, Shaoguang Mao, Yan Xia 0005, Xun Wang, Si-Qing Chen, Furu Wei. [doi]
• SlotDiffusion: Object-Centric Generative Modeling with Diffusion ModelsZiyi Wu, Jingyu Hu, Wuyue Lu 0002, Igor Gilitschenski, Animesh Garg. [doi]
• QuadAttacK: A Quadratic Programming Approach to Learning Ordered Top-K Adversarial AttacksThomas Paniagua, Ryan Grainger, Tianfu Wu 0001. [doi]
• Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving ResearchCole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp. [doi]
• Cinematic Mindscapes: High-quality Video Reconstruction from Brain ActivityZijiao Chen, Jiaxin Qing, Juan Helen Zhou. [doi]
• Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution StrategiesOscar Li, James Harrison, Jascha Sohl-Dickstein, Virginia Smith, Luke Metz. [doi]
• Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inferenceBasile Confavreux, Poornima Ramesh, Pedro J. Gonçalves, Jakob H. Macke, Tim P. Vogels. [doi]
• Context-lumpable stochastic banditsChung-wei Lee, Qinghua Liu, Yasin Abbasi-Yadkori, Chi Jin, Tor Lattimore, Csaba Szepesvári. [doi]
• Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data PerspectiveZihan Luo, Hong Huang 0001, Jianxun Lian, Xiran Song, Xing Xie 0001, Hai Jin 0001. [doi]
• Learning via Wasserstein-Based High Probability Generalisation BoundsPaul Viallard, Maxime Haddouche, Umut Simsekli, Benjamin Guedj. [doi]
• Gradient Flossing: Improving Gradient Descent through Dynamic Control of JacobiansRainer Engelken. [doi]
• EPIC Fields: Marrying 3D Geometry and Video UnderstandingVadim Tschernezki, Ahmad Darkhalil, Zhifan Zhu, David Fouhey, Iro Laina, Diane Larlus, Dima Damen, Andrea Vedaldi. [doi]
• Provably Efficient Offline Reinforcement Learning in Regular Decision ProcessesRoberto Cipollone 0002, Anders Jonsson 0001, Alessandro Ronca, Mohammad Sadegh Talebi. [doi]
• Text Alignment Is An Efficient Unified Model for Massive NLP TasksYuheng Zha, Yichi Yang, Ruichen Li, Zhiting Hu. [doi]
• Simple and Asymmetric Graph Contrastive Learning without AugmentationsTeng Xiao, Huaisheng Zhu, Zhengyu Chen 0001, Suhang Wang. [doi]
• Adversarial Robustness in Graph Neural Networks: A Hamiltonian ApproachKai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee-Peng Tay. [doi]
• Modulated Neural ODEsIlze Amanda Auzina, Çagatay Yildiz, Sara Magliacane, Matthias Bethge, Efstratios Gavves. [doi]
• Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised LearningYu Wang, Zhun Zhong, Pengchong Qiao, Xuxin Cheng, Xiawu Zheng, Chang Liu, Nicu Sebe, Rongrong Ji, Jie Chen. [doi]
• Test-Time Distribution Normalization for Contrastively Learned Visual-language ModelsYifei Zhou, Juntao Ren, Fengyu Li, Ramin Zabih, Ser-Nam Lim. [doi]
• MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment TasksAllen Nie, Yuhui Zhang, Atharva Amdekar, Chris Piech, Tatsunori B. Hashimoto, Tobias Gerstenberg. [doi]
• Differentiable Blocks World: Qualitative 3D Decomposition by Rendering PrimitivesTom Monnier, Jake Austin, Angjoo Kanazawa, Alexei A. Efros, Mathieu Aubry. [doi]
• False Discovery Proportion control for aggregated KnockoffsAlexandre Blain, Bertrand Thirion, Olivier Grisel, Pierre Neuvial. [doi]
• CSMeD: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature ReviewsWojciech Kusa, Óscar E. Mendoza, Matthias Samwald, Petr Knoth, Allan Hanbury. [doi]
• Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-AvoidanceLisha Chen, Heshan Devaka Fernando, Yiming Ying, Tianyi Chen. [doi]
• Weakly Coupled Deep Q-NetworksIbrahim El Shar, Daniel Jiang. [doi]
• Kiki or Bouba? Sound Symbolism in Vision-and-Language ModelsMorris Alper, Hadar Averbuch-Elor. [doi]
• MixFormerV2: Efficient Fully Transformer TrackingYutao Cui, Tianhui Song, Gangshan Wu, Limin Wang. [doi]
• Learning Large Graph Property Prediction via Graph Segment TrainingKaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi. [doi]
• Optimizing Prompts for Text-to-Image GenerationYaru Hao, Zewen Chi, Li Dong 0004, Furu Wei. [doi]
• Clustering the Sketch: Dynamic Compression for Embedding TablesHenry Ling-Hei Tsang, Thomas D. Ahle. [doi]
• Memory Efficient Optimizers with 4-bit StatesBingrui Li, Jianfei Chen, Jun Zhu. [doi]
• On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and AlgorithmQi Chen, Changjian Shui, Ligong Han, Mario Marchand. [doi]
• Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal RepresentationYingyi Chen, Qinghua Tao, Francesco Tonin, Johan A. K. Suykens. [doi]
• FourierHandFlow: Neural 4D Hand Representation Using Fourier Query FlowJihyun Lee, Junbong Jang, Donghwan Kim, Minhyuk Sung, Tae-Kyun Kim. [doi]
• AVIS: Autonomous Visual Information Seeking with Large Language Model AgentZiniu Hu, Ahmet Iscen, Chen Sun 0002, Kai-Wei Chang, Yizhou Sun, David Ross, Cordelia Schmid, Alireza Fathi. [doi]
• Encoding Human Behavior in Information Design through Deep LearningGuanghui Yu, Wei Tang, Saumik Narayanan, Chien-Ju Ho. [doi]
• Supervised Pretraining Can Learn In-Context Reinforcement LearningJonathan Lee 0002, Annie Xie, Aldo Pacchiano, Yash Chandak, Chelsea Finn, Ofir Nachum, Emma Brunskill. [doi]
• HASSOD: Hierarchical Adaptive Self-Supervised Object DetectionShengcao Cao, Dhiraj Joshi, Liangyan Gui, Yu-Xiong Wang. [doi]
• Self-supervised video pretraining yields robust and more human-aligned visual representationsNikhil Parthasarathy, S. M. Ali Eslami, João Carreira, Olivier J. Hénaff. [doi]
• Causal Imitability Under Context-Specific Independence RelationsFateme Jamshidi, Sina Akbari, Negar Kiyavash. [doi]
• Parallel Submodular Function MinimizationDeeparnab Chakrabarty, Andrei Graur, Haotian Jiang, Aaron Sidford. [doi]
• Game Solving with Online Fine-TuningTi-Rong Wu, Hung Guei, Ting-Han Wei, Chung-Chin Shih, Jui-Te Chin, I-Chen Wu. [doi]
• Active Bipartite RankingJames Cheshire, Vincent Laurent, Stéphan Clémençon. [doi]
• SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement LearningBenjamin Ellis, Jonathan Cook, Skander Moalla, Mikayel Samvelyan, Mingfei Sun, Anuj Mahajan, Jakob N. Foerster, Shimon Whiteson. [doi]
• DP-Mix: Mixup-based Data Augmentation for Differentially Private LearningWenxuan Bao, Francesco Pittaluga, Vijay Kumar B. G, Vincent Bindschaedler. [doi]
• GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural NetworksZhonghang Li, Lianghao Xia, Yong Xu, Chao Huang 0001. [doi]
• Hypothesis Selection with Memory ConstraintsMaryam Aliakbarpour, Mark Bun, Adam Smith. [doi]
• From Pixels to UI Actions: Learning to Follow Instructions via Graphical User InterfacesPeter Shaw, Mandar Joshi, James Cohan, Jonathan Berant, Panupong Pasupat, Hexiang Hu, Urvashi Khandelwal, Kenton Lee, Kristina Toutanova. [doi]
• Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series ForecastingMarcel Kollovieh, Abdul Fatir Ansari, Michael Bohlke-Schneider, Jasper Zschiegner, Hao Wang 0014, Yuyang Wang 0001. [doi]
• Uncovering Neural Scaling Laws in Molecular Representation LearningDingshuo Chen, Yanqiao Zhu 0001, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang 0056. [doi]
• Multi-Object Representation Learning via Feature Connectivity and Object-Centric RegularizationAlex Foo, Wynne Hsu, Mong-Li Lee. [doi]
• Learning Space-Time Continuous Latent Neural PDEs from Partially Observed StatesValerii Iakovlev, Markus Heinonen, Harri Lähdesmäki. [doi]
• Partial Multi-Label Learning with Probabilistic Graphical DisambiguationJun-Yi Hang, Min-Ling Zhang. [doi]
• Toolformer: Language Models Can Teach Themselves to Use ToolsTimo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Eric Hambro, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom. [doi]
• Implicit Regularization in Over-Parameterized Support Vector MachineYang Sui, Xin He, Yang Bai. [doi]
• Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit TestsEdward Raff, James Holt. [doi]
• Toward Re-Identifying Any AnimalBingliang Jiao, Lingqiao Liu, Liying Gao, Ruiqi Wu, Guosheng Lin, Peng Wang 0015, Yanning Zhang. [doi]
• CLIP-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential ExperimentsJessica Dai, Paula Gradu, Christopher Harshaw. [doi]
• Online Learning under Adversarial Nonlinear ConstraintsPavel Kolev, Georg Martius, Michael Muehlebach. [doi]
• Expressivity-Preserving GNN SimulationFabian Jogl, Maximilian Thiessen, Thomas Gärtner 0001. [doi]
• Asymptotically Optimal Quantile Pure Exploration for Infinite-Armed BanditsEvelyn Xiao-Yue Gong, Mark Sellke. [doi]
• DISCO-10M: A Large-Scale Music DatasetLuca A. Lanzendörfer, Florian Grötschla, Emil Funke, Roger Wattenhofer. [doi]
• DELTA: Diverse Client Sampling for Fasting Federated LearningLin Wang, Yongxin Guo, Tao Lin, Xiaoying Tang 0002. [doi]
• Model and Feature Diversity for Bayesian Neural Networks in Mutual LearningVan-Cuong Pham, Cuong C. Nguyen, Trung Le, Dinh Phung 0001, Gustavo Carneiro 0001, Thanh-Toan Do. [doi]
• Model-free Posterior Sampling via Learning Rate RandomizationDaniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Rémi Munos, Alexey Naumov, Pierre Perrault, Michal Valko, Pierre Ménard. [doi]
• Making Scalable Meta Learning PracticalSang Keun Choe, Sanket Vaibhav Mehta, Hwijeen Ahn, Willie Neiswanger, Pengtao Xie, Emma Strubell, Eric Xing. [doi]
• Conservative Offline Policy Adaptation in Multi-Agent GamesChengjie Wu, Pingzhong Tang, Jun Yang 0028, Yujing Hu, Tangjie Lv, Changjie Fan, Chongjie Zhang. [doi]
• Latent SDEs on Homogeneous SpacesSebastian Zeng, Florian Graf, Roland Kwitt. [doi]
• Safety Verification of Decision-Tree Policies in Continuous TimeChristian Schilling 0001, Anna Lukina, Emir Demirovic, Kim Guldstrand Larsen. [doi]
• Transformers over Directed Acyclic GraphsYuankai Luo, Veronika Thost, Lei Shi 0002. [doi]
• MCUFormer: Deploying Vision Tranformers on Microcontrollers with Limited MemoryYinan Liang, Ziwei Wang 0001, Xiuwei Xu, Yansong Tang, Jie Zhou, Jiwen Lu. [doi]
• Ess-InfoGAIL: Semi-supervised Imitation Learning from Imbalanced DemonstrationsHuiqiao Fu, Kaiqiang Tang, Yuanyang Lu, Yiming Qi, Guizhou Deng, Flood Sung, Chunlin Chen. [doi]
• Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and dosesElena Sizikova, Niloufar Saharkhiz, Diksha Sharma, Miguel A. Lago, Berkman Sahiner, Jana G. Delfino, Aldo Badano. [doi]
• Multi Time Scale World ModelsVaisakh Shaj, Saleh Gholam Zadeh, Ozan Demir, Luiz R. Douat, Gerhard Neumann. [doi]
• Retaining Beneficial Information from Detrimental Data for Neural Network RepairLong-Kai Huang, Peilin Zhao, JunZhou Huang, Sinno Jialin Pan. [doi]
• Distributional Model Equivalence for Risk-Sensitive Reinforcement LearningTyler Kastner, Murat A. Erdogdu, Amir Massoud Farahmand. [doi]
• Unexpected Improvements to Expected Improvement for Bayesian OptimizationSebastian Ament, Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy. [doi]
• Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category DiscoverySarah Rastegar, Hazel Doughty, Cees Snoek. [doi]
• CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal ConversionAnders Vestergaard Nørskov, Alexander Neergaard Zahid, Morten Mørup. [doi]
• TopoSRL: Topology preserving self-supervised Simplicial Representation LearningHiren Madhu, Sundeep Prabhakar Chepuri. [doi]
• Learning Sample Difficulty from Pre-trained Models for Reliable PredictionPeng Cui 0007, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu. [doi]
• A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise ModelsAlexander G. Reisach, Myriam Tami, Christof Seiler, Antoine Chambaz, Sebastian Weichwald. [doi]
• LithoBench: Benchmarking AI Computational Lithography for Semiconductor ManufacturingSu Zheng, Haoyu Yang, Binwu Zhu, Bei Yu 0001, Martin D. F. Wong. [doi]
• CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy LabelsWanxing Chang, Ye Shi 0001, Jingya Wang. [doi]
• Calibrating "Cheap Signals" in Peer Review without a PriorYuxuan Lu 0001, Yuqing Kong. [doi]
• The CLIP Model is Secretly an Image-to-Prompt ConverterYuxuan Ding, Chunna Tian, Haoxuan Ding, Lingqiao Liu. [doi]
• Fine-grained Expressivity of Graph Neural NetworksJan Böker, Ron Levie, Ningyuan Huang, Soledad Villar, Christopher Morris 0001. [doi]
• Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as MeasuresDavid Loiseaux, Luis Scoccola, Mathieu Carrière, Magnus Bakke Botnan, Steve Oudot. [doi]
• Inverse Reinforcement Learning with the Average Reward CriterionFeiyang Wu, Jingyang Ke, Anqi Wu. [doi]
• C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation ModelsYuzhen Huang, Yuzhuo Bai, Zhihao Zhu, Junlei Zhang, Jinghan Zhang, Tangjun Su, Junteng Liu, Chuancheng Lv, Yikai Zhang, Jiayi Lei, Yao Fu, Maosong Sun 0001, Junxian He. [doi]
• ChatGPT-Powered Hierarchical Comparisons for Image ClassificationZhiyuan Ren, Yiyang Su, Xiaoming Liu 0002. [doi]
• Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural NetworksWoojin Cho, Kookjin Lee, Donsub Rim, Noseong Park. [doi]
• Sounding Bodies: Modeling 3D Spatial Sound of Humans Using Body Pose and AudioXudong Xu, Dejan Markovic, Jacob Sandakly, Todd Keebler, Steven Krenn, Alexander Richard. [doi]
• Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion ModelYule Wang, Zijing Wu, Chengrui Li, Anqi Wu. [doi]
• StableFDG: Style and Attention Based Learning for Federated Domain GeneralizationJungwuk Park, Dong-Jun Han, Jinho Kim, Shiqiang Wang 0001, Christopher G. Brinton, Jaekyun Moon. [doi]
• EgoDistill: Egocentric Head Motion Distillation for Efficient Video UnderstandingShuhan Tan, Tushar Nagarajan, Kristen Grauman. [doi]
• SatBird: a Dataset for Bird Species Distribution Modeling using Remote Sensing and Citizen Science DataMélisande Teng, Amna Elmustafa, Benjamin Akera, Yoshua Bengio, Hager Radi Abdelwahed, Hugo Larochelle, David Rolnick. [doi]
• Temporally Disentangled Representation Learning under Unknown NonstationarityXiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen 0002, Juan Carlos Niebles, Eric Xing, Kun Zhang 0001. [doi]
• Distributional Pareto-Optimal Multi-Objective Reinforcement LearningXin-Qiang Cai, Pushi Zhang, Li Zhao 0007, Jiang Bian 0002, Masashi Sugiyama, Ashley Llorens. [doi]
• PlanE: Representation Learning over Planar GraphsRadoslav Dimitrov, Zeyang Zhao, Ralph Abboud, Ismail Ilkan Ceylan. [doi]
• YouTubePD: A Multimodal Benchmark for Parkinson's Disease AnalysisAndy Zhou, Samuel Li, Pranav Sriram, Xiang Li, Jiahua Dong 0002, Ansh Sharma, Yuanyi Zhong, Shirui Luo, Volodymyr V. Kindratenko, George Heintz, Christopher Zallek, Yu-Xiong Wang. [doi]
• Enhancing Adversarial Contrastive Learning via Adversarial Invariant RegularizationXilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli. [doi]
• A benchmark of categorical encoders for binary classificationFederico Matteucci, Vadim Arzamasov, Klemens Böhm. [doi]
• Variational Gaussian Processes with Decoupled ConditionalsXinran Zhu, Kaiwen Wu, Natalie Maus, Jacob Gardner, David Bindel. [doi]
• OpenAssistant Conversations - Democratizing Large Language Model AlignmentAndreas Köpf, Yannic Kilcher, Dimitri von Rütte, Sotiris Anagnostidis, Zhi Rui Tam, Keith Stevens, Abdullah Barhoum, Duc Nguyen, Oliver Stanley, Richárd Nagyfi, Shahul ES, Sameer Suri, David Glushkov, Arnav Dantuluri, Andrew Maguire, Christoph Schuhmann, Huu Nguyen, Alexander Mattick. [doi]
• Mean-field Langevin dynamics: Time-space discretization, stochastic gradient, and variance reductionTaiji Suzuki, Denny Wu, Atsushi Nitanda. [doi]
• Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate AdaptationXin Yuan, Pedro Savarese, Michael Maire. [doi]
• Should We Learn Most Likely Functions or Parameters?Shikai Qiu, Tim G. J. Rudner, Sanyam Kapoor, Andrew Gordon Wilson. [doi]
• Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement LearningYifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng. [doi]
• Causal Component AnalysisWendong Liang, Armin Kekic, Julius von Kügelgen, Simon Buchholz, Michel Besserve, Luigi Gresele, Bernhard Schölkopf. [doi]
• Adversarial Training from Mean Field PerspectiveSoichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki. [doi]
• Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein BarycentersMaxence Noble, Valentin De Bortoli, Arnaud Doucet, Alain Durmus. [doi]
• AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised RankingYang Yu, Qi Liu, Kai Zhang, Yuren Zhang, Chao Song, Min Hou, Yuqing Yuan, Zhihao Ye, Zaixi Zhang, Sanshi Lei Yu. [doi]
• TOA: Task-oriented Active VQAXiaoying Xing, Mingfu Liang, Ying Wu. [doi]
• BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic ParsingSubhro Roy, Samuel Thomson, Tongfei Chen, Richard Shin, Adam Pauls, Jason Eisner, Benjamin Van Durme. [doi]
• Hierarchical clustering with dot products recovers hidden tree structureAnnie Gray, Alexander Modell, Patrick Rubin-Delanchy, Nick Whiteley. [doi]
• Sharp Spectral Rates for Koopman Operator LearningVladimir Kostic, Karim Lounici, Pietro Novelli, Massimiliano Pontil. [doi]
• Discovering Intrinsic Spatial-Temporal Logic Rules to Explain Human ActionsChengzhi Cao, Chao Yang, Ruimao Zhang, Shuang Li. [doi]
• OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive LearningCheng Tan 0012, Siyuan Li, Zhangyang Gao, Wenfei Guan, Zedong Wang, Zicheng Liu 0006, Lirong Wu, Stan Z. Li. [doi]
• Equivariant Single View Pose Prediction Via Induced and Restriction RepresentationsOwen Howell, David Klee, Ondrej Biza, Linfeng Zhao, Robin Walters. [doi]
• An NLP Benchmark Dataset for Assessing Corporate Climate Policy EngagementGaku Morio, Christopher D. Manning. [doi]
• A Dual-Stream Neural Network Explains the Functional Segregation of Dorsal and Ventral Visual Pathways in Human BrainsMinkyu Choi, Kuan Han, Xiaokai Wang, Yizhen Zhang, Zhongming Liu. [doi]
• Quantum speedups for stochastic optimizationAaron Sidford, Chenyi Zhang. [doi]
• Text Promptable Surgical Instrument Segmentation with Vision-Language ModelsZijian Zhou 0002, Oluwatosin Alabi, Meng Wei, Tom Vercauteren, Miaojing Shi. [doi]
• Realistic Synthetic Financial Transactions for Anti-Money Laundering ModelsErik Altman, Jovan Blanusa, Luc von Niederhäusern, Beni Egressy, Andreea Anghel, Kubilay Atasu. [doi]
• Unbounded Differentially Private Quantile and Maximum EstimationDavid Durfee. [doi]
• Information Geometry of the Retinal Representation ManifoldXuehao Ding, Dongsoo Lee, Joshua Melander, George Sivulka, Surya Ganguli, Stephen Baccus. [doi]
• Tree Variational AutoencodersLaura Manduchi, Moritz Vandenhirtz, Alain Ryser, Julia E. Vogt. [doi]
• Robust and Actively Secure Serverless Collaborative LearningNicholas Franzese, Adam Dziedzic, Christopher A. Choquette-Choo, Mark R. Thomas, Muhammad Ahmad Kaleem, Stephan Rabanser, Congyu Fang, Somesh Jha, Nicolas Papernot, Xiao Wang 0012. [doi]
• Deep Recurrent Optimal StoppingNiranjan Damera-Venkata, Chiranjib Bhattacharyya. [doi]
• Regret-Optimal Model-Free Reinforcement Learning for Discounted MDPs with Short Burn-In TimeXiang Ji, Gen Li. [doi]
• Data Minimization at Inference TimeCuong Tran, Nando Fioretto. [doi]
• HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point CloudsGang Zhang, Junnan Chen, Guohuan Gao, Jianmin Li 0001, Xiaolin Hu 0001. [doi]
• Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic SystemsLingbing Guo, Weiqing Wang, Zhuo Chen, Ningyu Zhang, Zequn Sun, Yixuan Lai, Qiang Zhang, Huajun Chen. [doi]
• CS4ML: A general framework for active learning with arbitrary data based on Christoffel functionsJuan M. Cardenas, Ben Adcock, Nick C. Dexter. [doi]
• Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over UnionZifu Wang, Maxim Berman, Amal Rannen Triki, Philip H. S. Torr, Devis Tuia, Tinne Tuytelaars, Luc Van Gool, Jiaqian Yu, Matthew B. Blaschko. [doi]
• CLeAR: Continual Learning on Algorithmic Reasoning for Human-like IntelligenceBong Gyun Kang, Hyungi Kim, Dahuin Jung, Sungroh Yoon. [doi]
• Generate What You Prefer: Reshaping Sequential Recommendation via Guided DiffusionZhengyi Yang, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan, Xiangnan He 0001. [doi]
• Simple and Controllable Music GenerationJade Copet, Felix Kreuk, Itai Gat, Tal Remez, David Kant, Gabriel Synnaeve, Yossi Adi, Alexandre Défossez. [doi]
• Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient DescentXixi Jia, Hailin Wang, Jiangjun Peng, Xiangchu Feng, Deyu Meng. [doi]
• DynPoint: Dynamic Neural Point For View SynthesisKaichen Zhou, Jia-Xing Zhong, Sangyun Shin, Kai Lu, Yiyuan Yang, Andrew Markham, Niki Trigoni. [doi]
• Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional MonotonicityMetod Jazbec, James Urquhart Allingham, Dan Zhang, Eric T. Nalisnick. [doi]
• Many-body Approximation for Non-negative TensorsKazu Ghalamkari, Mahito Sugiyama, Yoshinobu Kawahara. [doi]
• Rethinking Conditional Diffusion Sampling with Progressive GuidanceAnh-Dung Dinh, Daochang Liu, Chang Xu. [doi]
• Self-Predictive Universal AIElliot Catt, Jordi Grau-Moya, Marcus Hutter, Matthew Aitchison, Tim Genewein, Grégoire Delétang, Kevin Li, Joel Veness. [doi]
• Contextual Stochastic Bilevel OptimizationYifan Hu, Jie Wang, Yao Xie 0002, Andreas Krause 0001, Daniel Kuhn 0001. [doi]
• Multi-Head Adapter Routing for Cross-Task GeneralizationLucas Page-Caccia, Edoardo Maria Ponti, Zhan Su, Matheus Pereira, Nicolas Le Roux, Alessandro Sordoni. [doi]
• Bicriteria Approximation Algorithms for the Submodular Cover ProblemWenjing Chen, Victoria G. Crawford. [doi]
• Optimal Learners for Realizable Regression: PAC Learning and Online LearningIdan Attias, Steve Hanneke, Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas. [doi]
• Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs EvaluationsLifan Yuan, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Fangyuan Zou, Xingyi Cheng, Heng Ji, Zhiyuan Liu, Maosong Sun 0001. [doi]
• LeanDojo: Theorem Proving with Retrieval-Augmented Language ModelsKaiyu Yang, Aidan M. Swope, Alex Gu, Rahul Chalamala, Peiyang Song, Shixing Yu, Saad Godil, Ryan J. Prenger, Animashree Anandkumar. [doi]
• Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier DataJang-Hyun Kim, Sangdoo Yun, Hyun Oh Song. [doi]
• Revisit Weakly-Supervised Audio-Visual Video Parsing from the Language PerspectiveYingYing Fan, Yu Wu 0011, Bo Du, Yutian Lin. [doi]
• Structured Neural Networks for Density Estimation and Causal InferenceAsic Q. Chen, Ruian Shi, Xiang Gao, Ricardo Baptista, Rahul G. Krishnan. [doi]
• On Computing Pairwise Statistics with Local Differential PrivacyBadih Ghazi, Pritish Kamath, Ravi Kumar 0001, Pasin Manurangsi, Adam Sealfon. [doi]
• Optimal testing using combined test statistics across independent studiesLasse Vuursteen, Botond Szabó, Aad van der Vaart, Harry van Zanten. [doi]
• A Reduction-based Framework for Sequential Decision Making with Delayed FeedbackYunchang Yang, Han Zhong 0001, Tianhao Wu, Bin Liu, Liwei Wang 0001, Simon S. Du. [doi]
• Training Energy-Based Normalizing Flow with Score-Matching ObjectivesChen-Hao Chao, Wei-Fang Sun, Yen-Chang Hsu, Zsolt Kira, Chun-Yi Lee. [doi]
• When is Agnostic Reinforcement Learning Statistically Tractable?Zeyu Jia, Gene Li, Alexander Rakhlin, Ayush Sekhari, Nati Srebro. [doi]
• Learning Efficient Coding of Natural Images with Maximum Manifold Capacity RepresentationsThomas E. Yerxa, Yilun Kuang, Eero P. Simoncelli, SueYeon Chung. [doi]
• Cascading Contextual Assortment BanditsHyun-Jun Choi, Rajan Udwani, Min-hwan Oh. [doi]
• Estimating Noise Correlations Across Continuous Conditions With Wishart ProcessesAmin Nejatbakhsh, Isabel Garon, Alex Williams. [doi]
• Degraded Polygons Raise Fundamental Questions of Neural Network PerceptionLeonard Tang, Dan Ley. [doi]
• Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity LearningFangchen Yu, Runze Zhao, Zhan Shi, Yiwen Lu, Jicong Fan, Yicheng Zeng, Jianfeng Mao, Wenye Li 0001. [doi]
• Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLsJinyang Li, Binyuan Hui, Ge Qu, Jiaxi Yang, Binhua Li, Bowen Li, Bailin Wang, Bowen Qin, Ruiying Geng, Nan Huo, Xuanhe Zhou, Chenhao Ma 0001, Guoliang Li, Kevin Chen-Chuan Chang, Fei Huang, Reynold Cheng, Yongbin Li. [doi]
• Creating Multi-Level Skill Hierarchies in Reinforcement LearningJoshua B. Evans, Özgür Simsek. [doi]
• Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement LearningYihang Yao, Zuxin Liu, Zhepeng Cen, Jiacheng Zhu, Wenhao Yu 0003, Tingnan Zhang, Ding Zhao. [doi]
• Causal normalizing flows: from theory to practiceAdrián Javaloy, Pablo Sánchez-Martín, Isabel Valera. [doi]
• Spuriosity Rankings: Sorting Data to Measure and Mitigate BiasesMazda Moayeri, Wenxiao Wang 0002, Sahil Singla 0002, Soheil Feizi. [doi]
• A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed SensingJunren Chen, Jonathan Scarlett, Michael Ng 0001, Zhaoqiang Liu. [doi]
• One-Step Diffusion Distillation via Deep Equilibrium ModelsZhengyang Geng, Ashwini Pokle, J. Zico Kolter. [doi]
• REx: Data-Free Residual Quantization Error ExpansionEdouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly. [doi]
• On the Adversarial Robustness of Out-of-distribution Generalization ModelsXin Zou, Weiwei Liu. [doi]
• Bypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation PreprocessingJosh Alman, Jiehao Liang, Zhao Song 0002, Ruizhe Zhang 0001, Danyang Zhuo. [doi]
• The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU NetworksSpencer Frei, Gal Vardi, Peter L. Bartlett, Nati Srebro. [doi]
• A Framework for Fast and Stable Representations of Multiparameter Persistent Homology DecompositionsDavid Loiseaux, Mathieu Carrière, Andrew J. Blumberg. [doi]
• Reinforcement Learning with Simple Sequence PriorsTankred Saanum, Noémi Élteto, Peter Dayan, Marcel Binz, Eric Schulz. [doi]
• Fractal Landscapes in Policy OptimizationTao Wang, Sylvia L. Herbert, Sicun Gao. [doi]
• RECESS Vaccine for Federated Learning: Proactive Defense Against Model Poisoning AttacksHaonan Yan, Wenjing Zhang, Qian Chen, Xiaoguang Li, Wenhai Sun, Hui Li 0006, Xiaodong Lin 0001. [doi]
• State Regularized Policy Optimization on Data with Dynamics ShiftZhenghai Xue, Qingpeng Cai 0001, Shuchang Liu 0006, Dong Zheng, Peng Jiang 0002, Kun Gai, Bo An 0001. [doi]
• Depth-discriminative Metric Learning for Monocular 3D Object DetectionWonhyeok Choi, Mingyu Shin, Sunghoon Im. [doi]
• Compact Neural Volumetric Video Representations with Dynamic CodebooksHaoyu Guo, Sida Peng, Yunzhi Yan, Linzhan Mou, Yujun Shen, Hujun Bao, Xiaowei Zhou. [doi]
• Learning Cuts via Enumeration OraclesDaniel Thuerck, Boro Sofranac, Marc E. Pfetsch, Sebastian Pokutta. [doi]
• Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated ObjectsChuanruo Ning, Ruihai Wu, Haoran Lu, Kaichun Mo, Hao Dong 0003. [doi]
• Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory BulbJacob A. Zavatone-Veth, Paul Masset, William L. Tong, Joseph D. Zak, Venkatesh Murthy, Cengiz Pehlevan. [doi]
• Learning Universal Policies via Text-Guided Video GenerationYilun Du, Sherry Yang, Bo Dai 0001, Hanjun Dai, Ofir Nachum, Josh Tenenbaum 0001, Dale Schuurmans, Pieter Abbeel. [doi]
• Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex EventsMatthew B. A. McDermott, Bret Nestor, Peniel N. Argaw, Isaac S. Kohane. [doi]
• Function Space Bayesian Pseudocoreset for Bayesian Neural NetworksBalhae Kim, Hyungi Lee, Juho Lee 0001. [doi]
• Universality laws for Gaussian mixtures in generalized linear modelsYatin Dandi, Ludovic Stephan, Florent Krzakala, Bruno Loureiro, Lenka Zdeborová. [doi]
• Prediction and Control in Continual Reinforcement LearningNishanth Anand, Doina Precup. [doi]
• Benchmarking Robustness to Adversarial Image ObfuscationsFlorian Stimberg, Ayan Chakrabarti, Chun-Ta Lu, Hussein Hazimeh 0001, Otilia Stretcu, Wei Qiao, Yintao Liu, Merve Kaya, Cyrus Rashtchian, Ariel Fuxman, Mehmet Tek, Sven Gowal. [doi]
• RanPAC: Random Projections and Pre-trained Models for Continual LearningMark D. McDonnell, Dong Gong, Amin Parvaneh, Ehsan Abbasnejad, Anton van den Hengel. [doi]
• Label-efficient Segmentation via Affinity PropagationWentong Li, Yuqian Yuan, Song Wang, Wenyu Liu 0005, Dongqi Tang, Jian Liu, Jianke Zhu, Lei Zhang. [doi]
• Transformers learn to implement preconditioned gradient descent for in-context learningKwangjun Ahn, Xiang Cheng, Hadi Daneshmand, Suvrit Sra. [doi]
• Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic ApproximationAniket Das, Dheeraj Nagaraj. [doi]
• NICE: NoIse-modulated Consistency rEgularization for Data-Efficient GANsYao Ni, Piotr Koniusz. [doi]
• DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion ModelsXiMing Xing, Chuang Wang, Haitao Zhou, Jing Zhang, Qian Yu, Dong Xu. [doi]
• Explore In-Context Learning for 3D Point Cloud UnderstandingZhongbin Fang, Xiangtai Li, Xia Li 0005, Joachim M. Buhmann, Chen Change Loy, Mengyuan Liu. [doi]
• LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual ImagesViraj Prabhu, Sriram Yenamandra, Prithvijit Chattopadhyay, Judy Hoffman. [doi]
• Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale GeneralizationFu Luo, Xi Lin 0001, Fei Liu, Qingfu Zhang 0001, Zhenkun Wang. [doi]
• Robust Model Reasoning and Fitting via Dual Sparsity PursuitXingyu Jiang, Jiayi Ma 0001. [doi]
• Understanding Deep Gradient Leakage via Inversion Influence FunctionsHaobo Zhang, Junyuan Hong, Yuyang Deng, Mehrdad Mahdavi, Jiayu Zhou. [doi]
• A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic GamesZaiwei Chen, Kaiqing Zhang, Eric Mazumdar, Asuman E. Ozdaglar, Adam Wierman. [doi]
• Content-based Unrestricted Adversarial AttackZhaoyu Chen, Bo Li, Shuang Wu, Kaixun Jiang, Shouhong Ding, Wenqiang Zhang. [doi]
• Template-free Articulated Neural Point Clouds for Reposable View SynthesisLukas Uzolas, Elmar Eisemann, Petr Kellnhofer. [doi]
• Provably Robust Temporal Difference Learning for Heavy-Tailed RewardsSemih Cayci, Atilla Eryilmaz. [doi]
• Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical ConstraintsJiaxin Bai, Xin Liu, Weiqi Wang, Chen Luo 0003, Yangqiu Song. [doi]
• Global Optimality in Bivariate Gradient-based DAG LearningChang Deng, Kevin Bello, Pradeep Ravikumar, Bryon Aragam. [doi]
• Sequential Subset Matching for Dataset DistillationJiawei Du, Qin Shi, Joey Tianyi Zhou. [doi]
• Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse LabelsShu-Lin Xu, Yifan Sun 0003, Faen Zhang, Anqi Xu, Xiu-Shen Wei, Yi Yang 0001. [doi]
• Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language ModelsHaonan Duan, Adam Dziedzic, Nicolas Papernot, Franziska Boenisch. [doi]
• CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language ModelsZhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal, Zhiheng Lyu, Kevin Blin, Fernando Gonzalez Adauto, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf. [doi]
• QuantSR: Accurate Low-bit Quantization for Efficient Image Super-ResolutionHaotong Qin, Yulun Zhang, Yifu Ding, Yifan Liu 0001, Xianglong Liu 0001, Martin Danelljan, Fisher Yu 0001. [doi]
• Transformer-based Planning for Symbolic RegressionParshin Shojaee, Kazem Meidani, Amir Barati Farimani, Chandan K. Reddy. [doi]
• When Do Neural Nets Outperform Boosted Trees on Tabular Data?Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, Vishak Prasad C., Ganesh Ramakrishnan, Micah Goldblum, Colin White. [doi]
• Computing a human-like reaction time metric from stable recurrent vision modelsLore Goetschalckx, Lakshmi Narasimhan Govindarajan, Alekh Karkada Ashok, Aarit Ahuja, David L. Sheinberg, Thomas Serre. [doi]
• How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language modelMichael Hanna 0001, Ollie Liu, Alexandre Variengien. [doi]
• BCDiff: Bidirectional Consistent Diffusion for Instantaneous Trajectory PredictionRongqing Li, Changsheng Li, Dongchun Ren, Guangyi Chen, Ye Yuan, Guoren Wang. [doi]
• Learning Score-based Grasping Primitive for Human-assisting Dexterous GraspingTianhao Wu, Mingdong Wu, Jiyao Zhang, Yunchong Gan, Hao Dong 0003. [doi]
• Equivariant Neural Simulators for Stochastic Spatiotemporal DynamicsKoen Minartz, Yoeri Poels, Simon M. Koop, Vlado Menkovski. [doi]
• Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point ProcessesYixuan Zhang 0006, Quyu Kong, Feng Zhou 0011. [doi]
• Rewiring Neurons in Non-Stationary EnvironmentsZhicheng Sun 0001, Yadong Mu. [doi]
• FWI: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical PropertiesShihang Feng, Hanchen Wang, Chengyuan Deng, Yinan Feng, Yanhua Liu, Min Zhu, Peng Jin, Yinpeng Chen, Youzuo Lin. [doi]
• Partial Matrix CompletionElad Hazan, Adam Tauman Kalai, Varun Kanade, Clara Mohri, Y. Jennifer Sun. [doi]
• Model Sparsity Can Simplify Machine UnlearningJinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu. [doi]
• MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision TransformersYu Zhang, Yepeng Liu, Duoqian Miao, Qi Zhang, Yiwei Shi, Liang Hu. [doi]
• Online Performative Gradient Descent for Learning Nash Equilibria in Decision-Dependent GamesZihan Zhu, Ethan Fang, Zhuoran Yang. [doi]
• Towards Unbounded Machine UnlearningMeghdad Kurmanji, Peter Triantafillou, Jamie Hayes, Eleni Triantafillou. [doi]
• Counterfactual Evaluation of Peer-Review Assignment PoliciesMartin Saveski, Steven Jecmen, Nihar B. Shah, Johan Ugander. [doi]
• CODA: Generalizing to Open and Unseen Domains with Compaction and DisambiguationChaoqi Chen, Luyao Tang, Yue Huang 0001, Xiaoguang Han 0001, Yizhou Yu. [doi]
• MAViL: Masked Audio-Video LearnersPo-Yao Huang 0001, Vasu Sharma, Hu Xu 0001, Chaitanya Ryali, Haoqi Fan 0001, Yanghao Li, Shang-wen Li 0001, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer. [doi]
• Do Not Marginalize Mechanisms, Rather Consolidate!Moritz Willig, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting. [doi]
• Generalised f-Mean Aggregation for Graph Neural NetworksRyan Kortvelesy, Steven D. Morad, Amanda Prorok. [doi]
• Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and BeyondOleg Platonov, Denis Kuznedelev, Artem Babenko, Liudmila Prokhorenkova. [doi]
• PaintSeg: Painting Pixels for Training-free SegmentationXiang Li, Chung-Ching Lin, Yinpeng Chen, Zicheng Liu 0001, Jinglu Wang, Rita Singh, Bhiksha Raj. [doi]
• Residual Q-Learning: Offline and Online Policy Customization without ValueChenran Li, Chen Tang, Haruki Nishimura, Jean Mercat, Masayoshi Tomizuka, Wei Zhan. [doi]
• Adaptive Test-Time Personalization for Federated LearningWenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He. [doi]
• Guarantees for Self-Play in Multiplayer Games via Polymatrix DecomposabilityRevan MacQueen, James R. Wright. [doi]
• Can Language Models Solve Graph Problems in Natural Language?Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov. [doi]
• Squared Neural Families: A New Class of Tractable Density ModelsRussell Tsuchida, Cheng Soon Ong, Dino Sejdinovic. [doi]
• MultiMoDN - Multimodal, Multi-Task, Interpretable Modular NetworksVinitra Swamy, Malika Satayeva, Jibril Frej, Thierry Bossy, Thijs Vogels, Martin Jaggi, Tanja Käser, Mary-Anne Hartley. [doi]
• Distributed Personalized Empirical Risk MinimizationYuyang Deng, Mohammad Mahdi Kamani, Pouria Mahdavinia, Mehrdad Mahdavi. [doi]
• Deep learning with kernels through RKHM and the Perron-Frobenius operatorYuka Hashimoto, Masahiro Ikeda, Hachem Kadri. [doi]
• SE(3) Equivariant Augmented Coupling FlowsLaurence I. Midgley, Vincent Stimper, Javier Antorán, Emile Mathieu, Bernhard Schölkopf, José Miguel Hernández-Lobato. [doi]
• Efficient Training of Energy-Based Models Using Jarzynski EqualityDavide Carbone, Mengjian Hua, Simon Coste, Eric Vanden-Eijnden. [doi]
• Collaborative Alignment of NLP ModelsFereshte Khani, Marco Túlio Ribeiro. [doi]
• The Utility of "Even if" Semifactual Explanation to Optimise Positive OutcomesEoin M. Kenny, Weipeng Huang. [doi]
• Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced DatasetsZhang-Wei Hong, Aviral Kumar, Sathwik Karnik, Abhishek Bhandwaldar, Akash Srivastava, Joni Pajarinen, Romain Laroche, Abhishek Gupta, Pulkit Agrawal. [doi]
• Going beyond persistent homology using persistent homologyJohanna Immonen, Amauri H. Souza, Vikas Garg. [doi]
• Unsupervised Semantic Correspondence Using Stable DiffusionEric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi. [doi]
• Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message PassingJung Yeon Park, Lawson L. S. Wong, Robin Walters. [doi]
• REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground TruthsXu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Xin Zhao, Ji-Rong Wen. [doi]
• Diplomat: A Dialogue Dataset for Situated PragMATic ReasoningHengli Li, Song Chun Zhu, Zilong Zheng. [doi]
• Contrastive Modules with Temporal Attention for Multi-Task Reinforcement LearningSiming Lan, Rui Zhang, Qi Yi, Jiaming Guo, Shaohui Peng, Yunkai Gao, Fan Wu, Ruizhi Chen, Zidong Du, Xing Hu 0001, Xishan Zhang, Ling Li 0001, Yunji Chen. [doi]
• DiViNeT: 3D Reconstruction from Disparate Views using Neural Template RegularizationAditya Vora, Akshay Gadi Patil, Hao Zhang. [doi]
• Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RLChen Sun 0007, Wannan Yang, Thomas Jiralerspong, Dane Malenfant, Benjamin Alsbury-Nealy, Yoshua Bengio, Blake A. Richards. [doi]
• Predicting a Protein's Stability under a Million MutationsJeffrey Ouyang-Zhang, Daniel Diaz, Adam Klivans, Philipp Krähenbühl. [doi]
• Reconciling Competing Sampling Strategies of Network EmbeddingYuchen Yan, Baoyu Jing, Lihui Liu, Ruijie Wang 0004, Jinning Li, Tarek F. Abdelzaher, Hanghang Tong. [doi]
• Back-Modality: Leveraging Modal Transformation for Data AugmentationZhi Li, Yifan Liu, Yin Zhang. [doi]
• A Dataset of Relighted 3D Interacting HandsGyeongsik Moon, Shunsuke Saito, WeiPeng Xu, Rohan Joshi, Julia Buffalini, Harley Bellan, Nicholas Rosen, Jesse Richardson, Mallorie Mize, Philippe de Bree, Tomas Simon, Bo Peng, Shubham Garg, Kevyn Mcphail, Takaaki Shiratori. [doi]
• Multi-Swap k-Means++Lorenzo Beretta 0001, Vincent Cohen-Addad, Silvio Lattanzi, Nikos Parotsidis. [doi]
• Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower BoundsMichael Crawshaw, Yajie Bao, Mingrui Liu. [doi]
• A Variational Perspective on High-Resolution ODEsHoomaan Maskan, Konstantinos Zygalakis, Alp Yurtsever. [doi]
• NAS-X: Neural Adaptive Smoothing via TwistingDieterich Lawson, Michael Li, Scott W. Linderman. [doi]
• Goal-conditioned Offline Planning from Curious ExplorationMarco Bagatella, Georg Martius. [doi]
• Glance and Focus: Memory Prompting for Multi-Event Video Question AnsweringZiyi Bai, Ruiping Wang 0001, Xilin Chen 0001. [doi]
• How a Student becomes a Teacher: learning and forgetting through Spectral methodsLorenzo Giambagli, Lorenzo Buffoni, Lorenzo Chicchi, Duccio Fanelli. [doi]
• Swarm Reinforcement Learning for Adaptive Mesh RefinementNiklas Freymuth, Philipp Dahlinger, Tobias Würth, Simon Reisch, Luise Kärger, Gerhard Neumann. [doi]
• Encoding Time-Series Explanations through Self-Supervised Model Behavior ConsistencyOwen Queen, Tom Hartvigsen, Teddy Koker, Huan He, Theodoros Tsiligkaridis, Marinka Zitnik. [doi]
• A Unified Conditional Framework for Diffusion-based Image RestorationYi Zhang, Xiaoyu Shi, Dasong Li, Xiaogang Wang 0001, Jian Wang, Hongsheng Li. [doi]
• Lossy Image Compression with Conditional Diffusion ModelsRuihan Yang, Stephan Mandt. [doi]
• Scalarization for Multi-Task and Multi-Domain Learning at ScaleAmelie Royer, Tijmen Blankevoort, Babak Ehteshami Bejnordi. [doi]
• Fast and Simple Spectral Clustering in Theory and PracticePeter Macgregor. [doi]
• Ego4D Goal-Step: Toward Hierarchical Understanding of Procedural ActivitiesYale Song, Eugene Byrne, Tushar Nagarajan, Huiyu Wang, Miguel Martin, Lorenzo Torresani. [doi]
• Binary Classification with Confidence DifferenceWei Wang, Lei Feng, Yuchen Jiang, Gang Niu 0001, Min-Ling Zhang, Masashi Sugiyama. [doi]
• A Heat Diffusion Perspective on Geodesic Preserving Dimensionality ReductionGuillaume Huguet, Alexander Tong 0001, Edward De Brouwer, Yanlei Zhang, Guy Wolf, Ian Adelstein, Smita Krishnaswamy. [doi]
• Practical Equivariances via Relational Conditional Neural ProcessesDaolang Huang, Manuel Haussmann, Ulpu Remes, St John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi. [doi]
• Implicit Variational Inference for High-Dimensional PosteriorsAnshuk Uppal, Kristoffer Stensbo-Smidt, Wouter Boomsma, Jes Frellsen. [doi]
• Are Diffusion Models Vision-And-Language Reasoners?Benno Krojer, Elinor Poole-Dayan, Vikram Voleti, Chris Pal, Siva Reddy. [doi]
• OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text DocumentsHugo Laurençon, Lucile Saulnier, Léo Tronchon, Stas Bekman, Amanpreet Singh, Anton Lozhkov, Thomas Wang, Siddharth Karamcheti, Alexander M. Rush, Douwe Kiela, Matthieu Cord, Victor Sanh. [doi]
• NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning ApplicationsRobert Tjarko Lange, Yujin Tang, Yingtao Tian. [doi]
• Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse TrainingAleksandra Nowak 0001, Bram Grooten, Decebal Constantin Mocanu, Jacek Tabor. [doi]
• CHAMMI: A benchmark for channel-adaptive models in microscopy imagingZitong Sam Chen, Chau Pham 0001, Siqi Wang, Michael Doron, Nikita Moshkov, Bryan A. Plummer, Juan C. Caicedo. [doi]
• Convolutional Visual Prompt for Robust Visual PerceptionYun-Yun Tsai, Chengzhi Mao, Junfeng Yang. [doi]
• Parts of Speech-Grounded Subspaces in Vision-Language ModelsJames Oldfield 0001, Christos Tzelepis, Yannis Panagakis, Mihalis Nicolaou, Ioannis Patras. [doi]
• Diffusion Probabilistic Models for Structured Node ClassificationHyosoon Jang, Seonghyun Park 0004, Sangwoo Mo, Sungsoo Ahn. [doi]
• EgoTracks: A Long-term Egocentric Visual Object Tracking DatasetHao Tang, Kevin J. Liang, Kristen Grauman, Matt Feiszli, Weiyao Wang 0001. [doi]
• Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits: FTRL with General Regularizers and Multiple Optimal ArmsTiancheng Jin, Junyan Liu, Haipeng Luo. [doi]
• Collaboratively Learning Linear Models with Structured Missing DataChen Cheng, Gary Cheng 0004, John C. Duchi. [doi]
• CLIP4HOI: Towards Adapting CLIP for Practical Zero-Shot HOI DetectionYunyao Mao, Jiajun Deng, Wengang Zhou, Li Li 0040, Yao Fang, Houqiang Li. [doi]
• Sheaf Hypergraph NetworksIulia Duta, Giulia Cassarà, Fabrizio Silvestri, Pietro Lió. [doi]
• Efficient Learning of Linear Graph Neural Networks via Node SubsamplingSeiyun Shin, Ilan Shomorony, Han Zhao 0002. [doi]
• CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object DetectionYang Cao, Yihan Zeng, Hang Xu, Dan Xu. [doi]
• Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective DynamicsAnton Voronov, Mikhail Khoroshikh, Artem Babenko, Max Ryabinin. [doi]
• BadTrack: A Poison-Only Backdoor Attack on Visual Object TrackingBin Huang, Jiaqian Yu, Yiwei Chen, Siyang Pan, Qiang Wang, Zhi Wang. [doi]
• FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional NetworksYuhang Yao, Weizhao Jin, Srivatsan Ravi, Carlee Joe-Wong. [doi]
• Suggesting Variable Order for Cylindrical Algebraic Decomposition via Reinforcement LearningFuqi Jia, Yuhang Dong, Minghao Liu 0001, Pei Huang 0002, Feifei Ma, Jian Zhang. [doi]
• Circuit as Set of PointsJialv Zou, Xinggang Wang, Jiahao Guo, Wenyu Liu 0001, Qian Zhang, Chang Huang. [doi]
• Predict-then-Calibrate: A New Perspective of Robust Contextual LPChunlin Sun, Linyu Liu, Xiaocheng Li. [doi]
• Mitigating the Effect of Incidental Correlations on Part-based LearningGaurav Bhatt, Deepayan Das, Leonid Sigal, Vineeth N. Balasubramanian. [doi]
• SOL: Sampling-based Optimal Linear bounding of arbitrary scalar functionsYuriy Biktairov, Jyotirmoy Deshmukh. [doi]
• To Repeat or Not To Repeat: Insights from Scaling LLM under Token-CrisisFuzhao Xue, Yao Fu, Wangchunshu Zhou, Zangwei Zheng, Yang You 0001. [doi]
• A General Framework for Equivariant Neural Networks on Reductive Lie GroupsIlyes Batatia, Mario Geiger, Jose M. Munoz, Tess E. Smidt, Lior Silberman, Christoph Ortner. [doi]
• RealTime QA: What's the Answer Right Now?Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras 0001, Akari Asai, Xinyan Yu 0001, Dragomir Radev, Noah A. Smith, Yejin Choi 0001, Kentaro Inui. [doi]
• Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data HeterogeneityYoussef Allouah, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Geovani Rizk. [doi]
• FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot LearningKun Song 0004, Huimin Ma 0001, Bochao Zou, Huishuai Zhang, Weiran Huang 0001. [doi]
• Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep NetworksJules Berman, Benjamin Peherstorfer. [doi]
• What Knowledge Gets Distilled in Knowledge Distillation?Utkarsh Ojha, Yuheng Li, Anirudh Sundara Rajan, Yingyu Liang, Yong Jae Lee. [doi]
• A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax OptimizationYuanyuan Liu 0001, Fanhua Shang, Weixin An, Junhao Liu, Hongying Liu, Zhouchen Lin. [doi]
• UniControl: A Unified Diffusion Model for Controllable Visual Generation In the WildCan Qin, Shu Zhang 0007, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu 0001, Ran Xu. [doi]
• Survival Permanental Processes for Survival Analysis with Time-Varying CovariatesHideaki Kim. [doi]
• Contextually Affinitive Neighborhood Refinery for Deep ClusteringChunlin Yu, Ye Shi 0001, Jingya Wang. [doi]
• Can semi-supervised learning use all the data effectively? A lower bound perspectiveAlexandru Tifrea, Gizem Yüce, Amartya Sanyal, Fanny Yang. [doi]
• Hierarchical Randomized SmoothingYan Scholten, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann. [doi]
• Does Graph Distillation See Like Vision Dataset Counterpart?Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li. [doi]
• BanditPAM++: Faster k-medoids ClusteringMo Tiwari, Ryan Kang, Donghyun Lee, Sebastian Thrun, Ilan Shomorony, Martin J. Zhang. [doi]
• Universal Prompt Tuning for Graph Neural NetworksTaoran Fang, Yunchao Zhang, Yang Yang, Chunping Wang, Lei Chen. [doi]
• Delegated ClassificationEden Saig, Inbal Talgam-Cohen, Nir Rosenfeld. [doi]
• Neural Fields with Hard Constraints of Arbitrary Differential OrderFangcheng Zhong, Kyle Fogarty, Param Hanji, Tianhao Wu, Alejandro Sztrajman, Andrew Spielberg, Andrea Tagliasacchi, Petra Bosilj, Cengiz Öztireli. [doi]
• Find What You Want: Learning Demand-conditioned Object Attribute Space for Demand-driven NavigationHongcheng Wang, Andy Guan Hong Chen, Xiaoqi Li 0020, Mingdong Wu, Hao Dong 0003. [doi]
• Accessing Higher Dimensions for Unsupervised Word TranslationSida Wang. [doi]
• Guiding Large Language Models via Directional Stimulus PromptingZekun Li, Baolin Peng, Pengcheng He, Michel Galley, Jianfeng Gao, Xifeng Yan. [doi]
• Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium ModelsAaron J. Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Bin Hu 0002. [doi]
• PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial GuidancePeiqing Yang, Shangchen Zhou, Qingyi Tao, Chen Change Loy. [doi]
• Secure Out-of-Distribution Task Generalization with Energy-Based ModelsShengzhuang Chen, Long-Kai Huang, Jonathan Richard Schwarz, Yilun Du, Ying Wei 0001. [doi]
• Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics ModelJiankai Sun, Yiqi Jiang, Jianing Qiu, Parth Nobel, Mykel J. Kochenderfer, Mac Schwager. [doi]
• Supply-Side Equilibria in Recommender SystemsMeena Jagadeesan, Nikhil Garg 0001, Jacob Steinhardt. [doi]
• Token-Scaled Logit Distillation for Ternary Weight Generative Language ModelsMinsoo Kim, Sihwa Lee, Janghwan Lee, Sukjin Hong, Du-Seong Chang, Wonyong Sung, Jungwook Choi. [doi]
• Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction ManualsYue Wu, Yewen Fan, Paul Pu Liang, Amos Azaria, Yuanzhi Li, Tom M. Mitchell. [doi]
• Evolutionary Neural Architecture Search for Transformer in Knowledge TracingShangshang Yang, Xiaoshan Yu, Ye Tian, XueMing Yan, Haiping Ma, Xingyi Zhang 0001. [doi]
• Learning from Both Structural and Textual Knowledge for Inductive Knowledge Graph CompletionKunxun Qi, Jianfeng Du, Hai Wan. [doi]
• Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated ModelsDat Do, Huy Nguyen, Khai Nguyen, Nhat Ho. [doi]
• Language Models can Solve Computer TasksGeunwoo Kim, Pierre Baldi, Stephen McAleer. [doi]
• Eliminating Domain Bias for Federated Learning in Representation SpaceJianqing Zhang, Yang Hua, Jian Cao, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan. [doi]
• Bi-Level Offline Policy Optimization with Limited ExplorationWenzhuo Zhou. [doi]
• Hierarchical Open-vocabulary Universal Image SegmentationXudong Wang 0007, Shufan Li, Konstantinos Kallidromitis, Yusuke Kato, Kazuki Kozuka, Trevor Darrell. [doi]
• Knowledge Distillation Performs Partial Variance ReductionMher Safaryan, Alexandra Peste, Dan Alistarh. [doi]
• Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement LearningHaoran He, Chenjia Bai, Kang Xu, Zhuoran Yang, Weinan Zhang 0001, Dong Wang, Bin Zhao, Xuelong Li 0001. [doi]
• Towards Generic Semi-Supervised Framework for Volumetric Medical Image SegmentationHaonan Wang, Xiaomeng Li. [doi]
• Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask DetectionYuxin Cao, Yian Li, Yumeng Zhu, Derui Wang, Minhui Xue. [doi]
• CorresNeRF: Image Correspondence Priors for Neural Radiance FieldsYixing Lao, Xiaogang Xu, Zhipeng Cai, Xihui Liu, Hengshuang Zhao. [doi]
• Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential EquationsYu Cao, Jingrun Chen, Yixin Luo, Xiang Zhou 0001. [doi]
• Towards Symmetry-Aware Generation of Periodic MaterialsYouzhi Luo, Chengkai Liu, Shuiwang Ji. [doi]
• DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent MethodAhmed Khaled 0001, Konstantin Mishchenko, Chi Jin 0001. [doi]
• Revisiting Implicit Differentiation for Learning Problems in Optimal ControlMing Xu, Timothy L. Molloy, Stephen Gould. [doi]
• On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision ProcessesJia Lin Hau, Erick Delage, Mohammad Ghavamzadeh, Marek Petrik. [doi]
• Exploring Loss Functions for Time-based Training Strategy in Spiking Neural NetworksYaoyu Zhu, Wei Fang, Xiaodong Xie, Tiejun Huang 0001, Zhaofei Yu. [doi]
• A Unified Approach to Domain Incremental Learning with Memory: Theory and AlgorithmHaizhou Shi, Hao Wang 0014. [doi]
• LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape ReconstructionDi Liu 0003, Anastasis Stathopoulos, Qilong Zhangli, Yunhe Gao, Dimitris N. Metaxas. [doi]
• Geometric Analysis of Matrix Sensing over GraphsHaixiang Zhang, Ying Chen, Javad Lavaei. [doi]
• FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and EditingMingyuan Zhang, Huirong Li, Zhongang Cai, Jiawei Ren, Lei Yang, Ziwei Liu. [doi]
• When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement LearningSiliang Zeng, Chenliang Li, Alfredo Garcia, Mingyi Hong. [doi]
• Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object DetectionCheng-Ju Ho, Chen-Hsuan Tai, Yen-Yu Lin, Ming-Hsuan Yang 0001, Yi-Hsuan Tsai. [doi]
• On Sparse Modern Hopfield ModelJerry Yao-Chieh Hu, Donglin Yang, Dennis Wu, Chenwei Xu, Bo-Yu Chen, Han Liu. [doi]
• MM-Fi: Multi-Modal Non-Intrusive 4D Human Dataset for Versatile Wireless SensingJianfei Yang, He Huang, Yunjiao Zhou, Xinyan Chen, Yuecong Xu, Shenghai Yuan, Han Zou, Chris Xiaoxuan Lu, Lihua Xie. [doi]
• Masked Image Residual Learning for Scaling Deeper Vision TransformersGuoxi Huang, Hongtao Fu, Adrian G. Bors. [doi]
• Representation Equivalent Neural Operators: a Framework for Alias-free Operator LearningFrancesca Bartolucci, Emmanuel de Bézenac, Bogdan Raonic, Roberto Molinaro, Siddhartha Mishra, Rima Alaifari. [doi]
• Students Parrot Their Teachers: Membership Inference on Model DistillationMatthew Jagielski, Milad Nasr, Katherine Lee, Christopher A. Choquette-Choo, Nicholas Carlini, Florian Tramèr. [doi]
• Augmentation-free Dense Contrastive Distillation for Efficient Semantic SegmentationJiawei Fan, Chao Li, Xiaolong Liu, Meina Song, Anbang Yao. [doi]
• Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance AssessmentCarsten T. Lüth, Till J. Bungert, Lukas Klein, Paul Jaeger. [doi]
• Globally injective and bijective neural operatorsTakashi Furuya, Michael Puthawala, Matti Lassas, Maarten V. De Hoop. [doi]
• Fast Conditional Mixing of MCMC Algorithms for Non-log-concave DistributionsXiang Cheng, Bohan Wang, Jingzhao Zhang, Yusong Zhu. [doi]
• Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent RepresentationsTsai Hor Chan, Kin Wai Lau, Jiajun Shen, Guosheng Yin, Lequan Yu. [doi]
• SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece ExplanationsZiyuan Ye, Rihan Huang, Qilin Wu, Quanying Liu. [doi]
• FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video GenerationYuanxin Liu, Lei Li, Shuhuai Ren, Rundong Gao, Shicheng Li, Sishuo Chen, Xu Sun, Lu Hou. [doi]
• Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear RegressionJing Xu, Jiaye Teng, Yang Yuan, Andrew C. Yao. [doi]
• Mitigating Source Bias for Fairer Weak SupervisionChangho Shin, Sonia Cromp, Dyah Adila, Frederic Sala. [doi]
• FGPrompt: Fine-grained Goal Prompting for Image-goal NavigationXinyu Sun, Peihao Chen, Jugang Fan, Jian Chen, Thomas H. Li, Mingkui Tan. [doi]
• Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code GenerationJiawei Liu 0004, Chunqiu Steven Xia, Yuyao Wang, Lingming Zhang 0001. [doi]
• BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and EditingDongxu Li, Junnan Li 0001, Steven C. H. Hoi. [doi]
• PTQD: Accurate Post-Training Quantization for Diffusion ModelsYefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang. [doi]
• Perception Test: A Diagnostic Benchmark for Multimodal Video ModelsViorica Patraucean, Lucas Smaira, Ankush Gupta 0001, Adrià Recasens, Larisa Markeeva, Dylan Banarse, Skanda Koppula, Joseph Heyward, Mateusz Malinowski, Yi Yang 0007, Carl Doersch, Tatiana Matejovicova, Yury Sulsky, Antoine Miech, Alexandre Fréchette, Hanna Klimczak, Raphael Koster, Junlin Zhang, Stephanie Winkler, Yusuf Aytar, Simon Osindero, Dima Damen, Andrew Zisserman, João Carreira. [doi]
• Face Reconstruction from Facial Templates by Learning Latent Space of a Generator NetworkHatef Otroshi-Shahreza, Sébastien Marcel. [doi]
• NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural NetworksSeokil Ham, Jungwuk Park, Dong-Jun Han, Jaekyun Moon. [doi]
• On the Connection between Pre-training Data Diversity and Fine-tuning RobustnessVivek Ramanujan, Thao Nguyen, Sewoong Oh, Ali Farhadi, Ludwig Schmidt. [doi]
• MultiVENT: Multilingual Videos of Events and Aligned Natural TextKate Sanders 0002, David Etter, Reno Kriz, Benjamin Van Durme. [doi]
• OpenProteinSet: Training data for structural biology at scaleGustaf Ahdritz, Nazim Bouatta, Sachin Kadyan, Lukas Jarosch, Daniel Berenberg, Ian Fisk, Andrew M. Watkins, Stephen Ra, Richard Bonneau, Mohammed AlQuraishi. [doi]
• Arbitrarily Scalable Environment Generators via Neural Cellular AutomataYulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li 0001. [doi]
• Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution GeneralizationShurui Gui, Meng Liu, Xiner Li, Youzhi Luo, Shuiwang Ji. [doi]
• Don't Stop Pretraining? Make Prompt-based Fine-tuning Powerful LearnerZhengxiang Shi, Aldo Lipani. [doi]
• DSR: Dynamical Surface Representation as Implicit Neural Networks for ProteinDaiwen Sun, He Huang, Yao Li, Xinqi Gong, Qiwei Ye. [doi]
• Addressing Negative Transfer in Diffusion ModelsHyojun Go, Jinyoung Kim, Yunsung Lee, Seunghyun Lee, Shinhyeok Oh, Hyeongdon Moon, Seungtaek Choi. [doi]
• ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score DistillationZhengyi Wang, Cheng Lu 0011, Yikai Wang 0001, Fan Bao, Chongxuan Li, Hang Su 0006, Jun Zhu 0001. [doi]
• Tools for Verifying Neural Models' Training DataDami Choi, Yonadav Shavit, David Kristjanson Duvenaud. [doi]
• Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be ConsistentGiannis Daras, Yuval Dagan, Alex Dimakis, Constantinos Daskalakis. [doi]
• Blockwise Parallel Transformers for Large Context ModelsHao Liu, Pieter Abbeel. [doi]
• Efficient Model-Free Exploration in Low-Rank MDPsZakaria Mhammedi, Adam Block, Dylan J. Foster, Alexander Rakhlin. [doi]
• The Impact of Positional Encoding on Length Generalization in TransformersAmirhossein Kazemnejad, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Payel Das, Siva Reddy. [doi]
• NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation LearningYun Yi, Haokui Zhang, Rong Xiao, Nannan Wang 0001, Xiaoyu Wang. [doi]
• Grassmann Manifold Flows for Stable Shape GenerationRyoma Yataka, Kazuki Hirashima, Masashi Shiraishi. [doi]
• Domain Re-Modulation for Few-Shot Generative Domain AdaptationYi Wu, Ziqiang Li 0001, Chaoyue Wang, Heliang Zheng, Shanshan Zhao, Bin Li, Dacheng Tao. [doi]
• Inserting Anybody in Diffusion Models via Celeb BasisGe Yuan, Xiaodong Cun, Yong Zhang, Maomao Li, Chenyang Qi, Xintao Wang, Ying Shan, Huicheng Zheng. [doi]
• Covariance-adaptive best arm identificationEl Mehdi Saad, Gilles Blanchard, Nicolas Verzelen. [doi]
• Analyzing Generalization of Neural Networks through Loss Path KernelsYilan Chen, Wei Huang, Hao Wang, Charlotte Loh, Akash Srivastava, Lam M. Nguyen, Lily Weng. [doi]
• Collaborative Score Distillation for Consistent Visual EditingSubin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin. [doi]
• Constant Approximation for Individual Preference Stable ClusteringAnders Aamand, Justin Y. Chen, Allen Liu, Sandeep Silwal, Pattara Sukprasert, Ali Vakilian, Fred Zhang. [doi]
• Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPsDongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Alejandro Ribeiro. [doi]
• Restart Sampling for Improving Generative ProcessesYilun Xu, Mingyang Deng, Xiang Cheng, Yonglong Tian, Ziming Liu, Tommi S. Jaakkola. [doi]
• Certified Minimax Unlearning with Generalization Rates and Deletion CapacityJiaqi Liu 0003, Jian Lou 0001, Zhan Qin, Kui Ren 0001. [doi]
• Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional ShiftsGleb Bazhenov, Denis Kuznedelev, Andrey Malinin, Artem Babenko, Liudmila Prokhorenkova. [doi]
• Winner Takes It All: Training Performant RL Populations for Combinatorial OptimizationNathan Grinsztajn, Daniel Furelos-Blanco, Shikha Surana, Clément Bonnet, Tom Barrett. [doi]
• Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation ModelsZhimin Chen, Longlong Jing, Yingwei Li, Bing Li. [doi]
• Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal AlignmentZihui Xue, Kristen Grauman. [doi]
• Jigsaw: Learning to Assemble Multiple Fractured ObjectsJiaxin Lu, Yifan Sun, Qixing Huang. [doi]
• Fair Canonical Correlation AnalysisZhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Jia Xu, Yanbo Feng, Qi Long, Li Shen 0001. [doi]
• Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution ShiftsPritam Sarkar, Ahmad Beirami, Ali Etemad. [doi]
• Symbolic Discovery of Optimization AlgorithmsXiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham 0001, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V. Le. [doi]
• Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery TicketsArthur C. W. da Cunha, Francesco D'Amore 0001, Emanuele Natale. [doi]
• Lovász Principle for Unsupervised Graph Representation LearningZiheng Sun, Chris Ding, Jicong Fan. [doi]
• Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian KernelValerii Likhosherstov, Krzysztof Marcin Choromanski, Kumar Avinava Dubey, Frederick Liu, Tamás Sarlós, Adrian Weller. [doi]
• Cognitive Model Discovery via Disentangled RNNsKevin J. Miller, Maria Eckstein, Matt M. Botvinick, Zeb Kurth-Nelson. [doi]
• Holistic Evaluation of Text-to-Image ModelsTony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon-Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Teufel, Marco Bellagente, Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Fei-Fei Li 0001, Jiajun Wu, Stefano Ermon, Percy Liang. [doi]
• Causal Effect Regularization: Automated Detection and Removal of Spurious CorrelationsAbhinav Kumar, Amit Deshpande, Amit Sharma 0007. [doi]
• A Sublinear-Time Spectral Clustering Oracle with Improved Preprocessing TimeRanran Shen, Pan Peng 0004. [doi]
• Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN TrainingHanyang Peng, Shuang Qin, Yue Yu, Jin Wang, Hui Wang, Ge Li. [doi]
• Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFTZhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He. [doi]
• Efficient Potential-based Exploration in Reinforcement Learning using Inverse Dynamic Bisimulation MetricYiming Wang, Ming Yang, Renzhi Dong, Binbin Sun, Furui Liu, Leong Hou U. [doi]
• 4M: Massively Multimodal Masked ModelingDavid Mizrahi, Roman Bachmann 0001, Oguzhan Fatih Kar, Teresa Yeo, Mingfei Gao, Afshin Dehghan, Amir Zamir. [doi]
• Learning Linear Causal Representations from Interventions under General Nonlinear MixingSimon Buchholz, Goutham Rajendran, Elan Rosenfeld, Bryon Aragam, Bernhard Schölkopf, Pradeep Ravikumar. [doi]
• Entropy-dissipation Informed Neural Network for McKean-Vlasov Type PDEsZebang Shen, Zhenfu Wang. [doi]
• A Novel Approach for Effective Multi-View Clustering with Information-Theoretic PerspectiveChenhang Cui, Yazhou Ren 0001, Jingyu Pu, Jiawei Li, Xiaorong Pu, Tianyi Wu, Yutao Shi, Lifang He 0001. [doi]
• LLM-Pruner: On the Structural Pruning of Large Language ModelsXinyin Ma, Gongfan Fang, Xinchao Wang. [doi]
• GeoDE: a Geographically Diverse Evaluation Dataset for Object RecognitionVikram V. Ramaswamy, Sing Yu Lin, Dora Zhao, Aaron Adcock, Laurens van der Maaten, Deepti Ghadiyaram, Olga Russakovsky. [doi]
• Preference-grounded Token-level Guidance for Language Model Fine-tuningShentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou. [doi]
• On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-trainingJieyu Zhang, Bohan Wang, Zhengyu Hu, Pang Wei Koh, Alexander J. Ratner. [doi]
• Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image GenerationYuval Kirstain, Adam Polyak, Uriel Singer, Shahbuland Matiana, Joe Penna, Omer Levy. [doi]
• CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked AutoencodersAnthony Fuller, Koreen Millard, James R. Green. [doi]
• DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape GenerationShentong Mo, Enze Xie, Ruihang Chu, Lanqing Hong, Matthias Nießner, Zhenguo Li. [doi]
• Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time ConvergenceYuki Takezawa, Ryoma Sato, Han Bao 0002, Kenta Niwa, Makoto Yamada. [doi]
• Expanding Small-Scale Datasets with Guided ImaginationYifan Zhang, Daquan Zhou, Bryan Hooi, Kai Wang, Jiashi Feng. [doi]
• Generalizable Lightweight Proxy for Robust NAS against Diverse PerturbationsHyeonjeong Ha, Minseon Kim, Sung Ju Hwang. [doi]
• Unbiased learning of deep generative models with structured discrete representationsHenry C. Bendekgey, Gabe Hope, Erik Sudderth. [doi]
• Implicit Bias of Gradient Descent for Logistic Regression at the Edge of StabilityJingfeng Wu, Vladimir Braverman, Jason D. Lee. [doi]
• Reference-Based POMDPsEdward Kim, Yohan Karunanayake, Hanna Kurniawati. [doi]
• Online Ad Allocation with PredictionsFabian Spaeh, Alina Ene. [doi]
• Type-to-Track: Retrieve Any Object via Prompt-based TrackingPha Nguyen, Kha Gia Quach, Kris Kitani, Khoa Luu. [doi]
• Efficiently incorporating quintuple interactions into geometric deep learning force fieldsZun Wang, Guoqing Liu, Yichi Zhou, Tong Wang, Bin Shao. [doi]
• EvoPrompting: Language Models for Code-Level Neural Architecture SearchAngelica Chen, David Dohan, David R. So. [doi]
• Non-Asymptotic Analysis of a UCB-based Top Two AlgorithmMarc Jourdan, Rémy Degenne. [doi]
• Train Hard, Fight Easy: Robust Meta Reinforcement LearningIdo Greenberg, Shie Mannor, Gal Chechik, Eli A. Meirom. [doi]
• Penalising the biases in norm regularisation enforces sparsityEtienne Boursier, Nicolas Flammarion. [doi]
• On Learning Latent Models with Multi-Instance Weak SupervisionKaifu Wang, Efthymia Tsamoura, Dan Roth. [doi]
• Iterative Reachability Estimation for Safe Reinforcement LearningMilan Ganai, Zheng Gong, Chenning Yu, Sylvia L. Herbert, Sicun Gao. [doi]
• Partial Label Learning with Dissimilarity Propagation guided Candidate Label ShrinkageYuheng Jia, Fuchao Yang, Yongqiang Dong. [doi]
• FORB: A Flat Object Retrieval Benchmark for Universal Image EmbeddingPengxiang Wu, Siman Wang, Kevin Dela Rosa, Derek Hao Hu. [doi]
• Adjustable Robust Reinforcement Learning for Online 3D Bin PackingYuxin Pan, Yize Chen, Fangzhen Lin. [doi]
• Are Emergent Abilities of Large Language Models a Mirage?Rylan Schaeffer, Brando Miranda, Sanmi Koyejo. [doi]
• Supported Value Regularization for Offline Reinforcement LearningYixiu Mao, Hongchang Zhang, Chen Chen, Yi Xu, Xiangyang Ji. [doi]
• Continuous-Time Functional Diffusion ProcessesGiulio Franzese, Giulio Corallo, Simone Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi. [doi]
• NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and Repulsive UDFStefan Lionar, Xiangyu Xu, Min Lin, Gim Hee Lee. [doi]
• Momentum Provably Improves Error Feedback!Ilyas Fatkhullin, Alexander Tyurin, Peter Richtárik. [doi]
• TaskMet: Task-driven Metric Learning for Model LearningDishank Bansal, Ricky T. Q. Chen, Mustafa Mukadam, Brandon Amos. [doi]
• Large Language Models are Visual Reasoning CoordinatorsLiangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu 0002. [doi]
• When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax OptimalityJose H. Blanchet, Haoxuan Chen, Yiping Lu 0001, Lexing Ying. [doi]
• Zero-shot causal learningHamed Nilforoshan, Michael Moor, Yusuf Roohani, Yining Chen, Anja Surina, Michihiro Yasunaga, Sara Oblak, Jure Leskovec. [doi]
• Learning to Receive Help: Intervention-Aware Concept Embedding ModelsMateo Espinosa Zarlenga, Katie Collins, Krishnamurthy Dvijotham, Adrian Weller, Zohreh Shams, Mateja Jamnik. [doi]
• Renku: a platform for sustainable data scienceRok Roskar, Chandrasekhar Ramakrishnan, Michele Volpi, Fernando Pérez-Cruz, Lilian Gasser, Firat Ozdemir, Patrick Paitz, Mohammad Alisafaee, Philipp Fischer, Ralf Grubenmann, Eliza Harris, Tasko Olevski, Carl Remlinger, Luis Salamanca, Elisabet Capon Garcia, Lorenzo Cavazzi, Jakub Chrobasik, Darlin Cordoba Osnas, Alessandro Degano, Jimena Dupre, Wesley Johnson, Eike Kettner, Laura Kinkead, Sean D. Murphy, Flora Thiebaut, Olivier Verscheure. [doi]
• Exponentially Convergent Algorithms for Supervised Matrix FactorizationJoowon Lee, Hanbaek Lyu, Weixin Yao. [doi]
• PROTES: Probabilistic Optimization with Tensor SamplingAnastasia Batsheva, Andrei Chertkov, Gleb V. Ryzhakov, Ivan V. Oseledets. [doi]
• Locality-Aware Generalizable Implicit Neural RepresentationDoyup Lee, Chiheon Kim, Minsu Cho, Wook-Shin Han. [doi]
• Multi-resolution Spectral Coherence for Graph Generation with Score-based DiffusionHyuna Cho, Minjae Jeong, Sooyeon Jeon, Sungsoo Ahn, Won Hwa Kim. [doi]
• BIOT: Biosignal Transformer for Cross-data Learning in the WildChaoqi Yang, M. Brandon Westover, Jimeng Sun 0001. [doi]
• Neural Modulation for Flash Memory: An Unsupervised Learning Framework for Improved ReliabilityJonathan Zedaka, Elisha Halperin, Evgeny Blaichman, Amit Berman. [doi]
• UDC-SIT: A Real-World Dataset for Under-Display CamerasKyusu Ahn, Byeonghyun Ko, Hyungyu Lee, Chanwoo Park, Jaejin Lee. [doi]
• MotionGPT: Human Motion as a Foreign LanguageBiao Jiang, Xin Chen, Wen Liu, Jingyi Yu, Gang Yu, Tao Chen. [doi]
• Taylor TD-learningMichele Garibbo, Maxime Robeyns, Laurence Aitchison. [doi]
• Unbalanced Low-rank Optimal Transport SolversMeyer Scetbon, Michal Klein, Giovanni Palla, Marco Cuturi. [doi]
• ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulationSungduk Yu, Walter M. Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Björn Lütjens, Justus C. Will, Gunnar Behrens, Julius Busecke, Nora Loose, Charles Stern, Tom Beucler, Bryce E. Harrop, Benjamin R. Hillman, Andrea M. Jenney, Savannah L. Ferretti, Nana Liu, Animashree Anandkumar, Noah D. Brenowitz, Veronika Eyring, Nicholas Geneva, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Akshay Subramaniam, Carl Vondrick, Rose Yu, Laure Zanna, Tian Zheng, Ryan Abernathey, Fiaz Ahmed, David C. Bader, Pierre Baldi, Elizabeth A. Barnes, Christopher S. Bretherton, Peter M. Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket R. Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas J. Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David A. Randall, Sara Shamekh, Mark Taylor, Nathan M. Urban, Janni Yuval, Guang Zhang, Mike Pritchard. [doi]
• Contextual Bandits and Imitation Learning with Preference-Based Active QueriesAyush Sekhari, Karthik Sridharan, Wen Sun 0002, Runzhe Wu. [doi]
• Learning Interpretable Low-dimensional Representation via Physical SymmetryXuanjie Liu, Daniel Chin, Yichen Huang, Gus Xia. [doi]
• Towards robust and generalizable representations of extracellular data using contrastive learningAnkit Vishnubhotla, Charlotte Loh, Akash Srivastava, Liam Paninski, Cole L. Hurwitz. [doi]
• The noise level in linear regression with dependent dataIngvar M. Ziemann, Stephen Tu, George J. Pappas, Nikolai Matni. [doi]
• General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler DivergenceLingwei Zhu, Zheng Chen, Matthew Schlegel, Martha White. [doi]
• Fantastic Robustness Measures: The Secrets of Robust GeneralizationHoki Kim, Jinseong Park 0001, Yujin Choi, Jaewook Lee 0001. [doi]
• Rank-N-Contrast: Learning Continuous Representations for RegressionKaiwen Zha, Peng Cao, Jeany Son, Yuzhe Yang, Dina Katabi. [doi]
• Benchmark of Machine Learning Force Fields for Semiconductor Simulations: Datasets, Metrics, and Comparative AnalysisGeonu Kim, Byunggook Na, Gunhee Kim, Hyuntae Cho, Seungjin Kang, Hee-Sun Lee, Saerom Choi, Heejae Kim, SeungWon Lee, Yongdeok Kim. [doi]
• Don't just prune by magnitude! Your mask topology is a secret weaponDuc Hoang, Souvik Kundu 0009, Shiwei Liu, Zhangyang Wang. [doi]
• Personalized Dictionary Learning for Heterogeneous DatasetsGeyu Liang, Naichen Shi, Raed Al Kontar, Salar Fattahi. [doi]
• Breadcrumbs to the Goal: Supervised Goal Selection from Human-in-the-Loop FeedbackMarcel Torne Villasevil, Max Balsells, Zihan Wang, Samedh Desai, Tao Chen, Pulkit Agrawal, Abhishek Gupta. [doi]
• Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean EstimationBerivan Isik, Wei-Ning Chen, Ayfer Özgür, Tsachy Weissman, Albert No. [doi]
• New Complexity-Theoretic Frontiers of Tractability for Neural Network TrainingCornelius Brand, Robert Ganian, Mathis Rocton. [doi]
• High-dimensional Contextual Bandit Problem without SparsityJunpei Komiyama, Masaaki Imaizumi. [doi]
• Differentiable Clustering with Perturbed Spanning ForestsLawrence Stewart, Francis R. Bach, Felipe Llinares-López, Quentin Berthet. [doi]
• MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement LearningZeyuan Ma, Hongshu Guo, Jiacheng Chen, Zhenrui Li, Guojun Peng, Yue-jiao Gong, Yining Ma 0001, Zhiguang Cao. [doi]
• Learning DAGs from Data with Few Root CausesPanagiotis Misiakos, Chris Wendler, Markus Püschel. [doi]
• Bottleneck Structure in Learned Features: Low-Dimension vs Regularity TradeoffArthur Jacot. [doi]
• Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational InequalitiesAleksandr Beznosikov, Martin Takác 0001, Alexander V. Gasnikov. [doi]
• Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative TrickLennert De Smet, Emanuele Sansone, Pedro Zuidberg Dos Martires. [doi]
• On permutation symmetries in Bayesian neural network posteriors: a variational perspectiveSimone Rossi, Ankit Singh, Thomas Hannagan. [doi]
• Trade-off Between Efficiency and Consistency for Removal-based ExplanationsYifan Zhang, Haowei He, Zhiquan Tan, Yang Yuan. [doi]
• Mitigating Over-smoothing in Transformers via Regularized Nonlocal FunctionalsTam Nguyen, Tan Nguyen, Richard G. Baraniuk. [doi]
• Demographic Parity Constrained Minimax Optimal Regression under Linear ModelKazuto Fukuchi, Jun Sakuma. [doi]
• Adaptive Selective Sampling for Online Prediction with ExpertsRui M. Castro, Fredrik Hellström, Tim van Erven. [doi]
• Tight Risk Bounds for Gradient Descent on Separable DataMatan Schliserman, Tomer Koren. [doi]
• Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement LearningSotetsu Koyamada, Shinri Okano, Soichiro Nishimori, Yu Murata, Keigo Habara, Haruka Kita, Shin Ishii. [doi]
• ChessGPT: Bridging Policy Learning and Language ModelingXidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du 0001, Jun Wang. [doi]
• Point Cloud Completion with Pretrained Text-to-Image Diffusion ModelsYoni Kasten, Ohad Rahamim, Gal Chechik. [doi]
• Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State ObservationsMinshuo Chen, Yu Bai 0017, H. Vincent Poor, Mengdi Wang. [doi]
• Self-Adaptive Motion Tracking against On-body Displacement of Flexible SensorsChengxu Zuo, Jiawei Fang, Shihui Guo, Yipeng Qin. [doi]
• SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation LearningSarp Aykent, Tian Xia 0006. [doi]
• STREAMER: Streaming Representation Learning and Event Segmentation in a Hierarchical MannerRamy Mounir, Sujal Vijayaraghavan, Sudeep Sarkar. [doi]
• Parameterizing Context: Unleashing the Power of Parameter-Efficient Fine-Tuning and In-Context Tuning for Continual Table Semantic ParsingYongrui Chen 0002, Shenyu Zhang, Guilin Qi, Xinnan Guo. [doi]
• Label-Only Model Inversion Attacks via Knowledge TransferNgoc-Bao Nguyen, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung. [doi]
• Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline DataRuiqi Zhang, Andrea Zanette. [doi]
• Improving neural network representations using human similarity judgmentsLukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine L. Hermann, Andrew K. Lampinen, Simon Kornblith. [doi]
• Segment Everything Everywhere All at OnceXueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Wang, Lijuan Wang, Jianfeng Gao, Yong Jae Lee. [doi]
• On the Planning Abilities of Large Language Models - A Critical InvestigationKarthik Valmeekam, Matthew Marquez, Sarath Sreedharan, Subbarao Kambhampati. [doi]
• DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic ModelsTao Yang, Yuwang Wang, Yan Lu, Nanning Zheng 0001. [doi]
• MADG: Margin-based Adversarial Learning for Domain GeneralizationAveen Dayal, Vimal K. B., Linga Reddy Cenkeramaddi, C. Krishna Mohan, Abhinav Kumar 0001, Vineeth N. Balasubramanian. [doi]
• GEQ: Gaussian Kernel Inspired Equilibrium ModelsMingjie Li, Yisen Wang 0001, Zhouchen Lin. [doi]
• Asymptotics of Bayesian Uncertainty Estimation in Random Features RegressionYoungsoo Baek, Samuel Berchuck, Sayan Mukherjee 0001. [doi]
• Diffusion Self-Guidance for Controllable Image GenerationDave Epstein, Allan Jabri, Ben Poole, Alexei A. Efros, Aleksander Holynski. [doi]
• A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius NormIlias Diakonikolas, Daniel Kane, Jasper C. H. Lee, Ankit Pensia, Thanasis Pittas. [doi]
• p SensitivitiesSwati Padmanabhan, David P. Woodruff, Richard Zhang. [doi]
• Towards Optimal Caching and Model Selection for Large Model InferenceBanghua Zhu, Ying Sheng 0007, Lianmin Zheng, Clark W. Barrett, Michael I. Jordan, Jiantao Jiao. [doi]
• Identification of Nonlinear Latent Hierarchical ModelsLingjing Kong, Biwei Huang, Feng Xie 0002, Eric P. Xing, Yuejie Chi, Kun Zhang 0001. [doi]
• AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud DatasetJiakang Yuan, Bo Zhang, Xiangchao Yan, Botian Shi, Tao Chen, Yikang Li, Yu Qiao. [doi]
• Metis: Understanding and Enhancing In-Network Regular ExpressionsZhengxin Zhang, Yucheng Huang, Guanglin Duan, Qing Li 0006, Dan Zhao, Yong Jiang, Lianbo Ma, Xi Xiao, Hengyang Xu. [doi]
• To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer LearningIldus Sadrtdinov, Dmitrii Pozdeev, Dmitry P. Vetrov, Ekaterina Lobacheva. [doi]
• On the Importance of Exploration for Generalization in Reinforcement LearningYiding Jiang, J. Zico Kolter, Roberta Raileanu. [doi]
• Exponential Lower Bounds for Fictitious Play in Potential GamesIoannis Panageas, Nikolas Patris, Stratis Skoulakis, Volkan Cevher. [doi]
• DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-CorrectionMohammadreza Pourreza, Davood Rafiei. [doi]
• CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code CompletionYangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang. [doi]
• Designing Robust Transformers using Robust Kernel Density EstimationXing Han, Tongzheng Ren, Tan Nguyen, Khai Nguyen, Joydeep Ghosh, Nhat Ho. [doi]
• Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New DirectionsLukas Gosch, Simon Geisler, Daniel Sturm 0002, Bertrand Charpentier, Daniel Zügner, Stephan Günnemann. [doi]
• Combating Representation Learning Disparity with Geometric HarmonizationZhihan Zhou 0002, Jiangchao Yao, Feng Hong 0004, Ya Zhang 0002, Bo Han, Yanfeng Wang. [doi]
• StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation LearnersYonglong Tian, Lijie Fan, Phillip Isola, Huiwen Chang, Dilip Krishnan. [doi]
• Deep Insights into Noisy Pseudo Labeling on Graph DataBotao Wang, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung. [doi]
• STEVE-1: A Generative Model for Text-to-Behavior in MinecraftShalev Lifshitz, Keiran Paster, Harris Chan, Jimmy Ba, Sheila A. McIlraith. [doi]
• Out-of-distribution Detection Learning with Unreliable Out-of-distribution SourcesHaotian Zheng, Qizhou Wang, Zhen Fang, Xiaobo Xia, Feng Liu, Tongliang Liu, Bo Han 0003. [doi]
• Robust Learning for Smoothed Online Convex Optimization with Feedback DelayPengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren. [doi]
• Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment SearchIndradyumna Roy, Rishi Agarwal, Soumen Chakrabarti, Anirban Dasgupta 0001, Abir De. [doi]
• On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular DatasetsJiashuo Liu, Tianyu Wang, Peng Cui 0001, Hongseok Namkoong. [doi]
• Emergent and Predictable Memorization in Large Language ModelsStella Biderman, USVSN Sai Prashanth, Lintang Sutawika, Hailey Schoelkopf, Quentin Anthony, Shivanshu Purohit, Edward Raff. [doi]
• Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision TasksMicah Goldblum, Hossein Souri, Renkun Ni, Manli Shu, Viraj Prabhu, Gowthami Somepalli, Prithvijit Chattopadhyay, Mark Ibrahim, Adrien Bardes, Judy Hoffman, Rama Chellappa, Andrew Gordon Wilson, Tom Goldstein. [doi]
• PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement LearningHoJoon Lee, Hanseul Cho 0002, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun. [doi]
• Quasi-Monte Carlo Graph Random FeaturesIsaac Reid, Adrian Weller, Krzysztof Marcin Choromanski. [doi]
• Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex OptimizationRuichen Jiang, Aryan Mokhtari. [doi]
• Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed ClassificationJintong Gao, He Zhao, Zhuo Li, Dandan Guo. [doi]
• Guiding The Last Layer in Federated Learning with Pre-Trained ModelsGwen Legate, Nicolas Bernier, Lucas Page-Caccia, Edouard Oyallon, Eugene Belilovsky. [doi]
• Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level ProblemsJunyi Li, Feihu Huang, Heng Huang. [doi]
• Delayed Algorithms for Distributed Stochastic Weakly Convex OptimizationWenzhi Gao, Qi Deng. [doi]
• Demystifying Softmax Gating Function in Gaussian Mixture of ExpertsHuy Nguyen, TrungTin Nguyen, Nhat Ho. [doi]
• Random-Access Infinite Context Length for TransformersAmirkeivan Mohtashami, Martin Jaggi. [doi]
• Graph-Structured Gaussian Processes for Transferable Graph LearningJun Wu, Lisa Ainsworth, Andrew Leakey, Haixun Wang, Jingrui He. [doi]
• Undirected Probabilistic Model for Tensor DecompositionZerui Tao, Toshihisa Tanaka, Qibin Zhao. [doi]
• Leveraging Vision-Centric Multi-Modal Expertise for 3D Object DetectionLinyan Huang, Zhiqi Li, Chonghao Sima, Wenhai Wang, Jingdong Wang 0001, Yu Qiao, Hongyang Li. [doi]
• Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace TrainingTiansheng Huang, Sihao Hu, Ka Ho Chow, Fatih Ilhan, Selim F. Tekin, Ling Liu 0001. [doi]
• NeuroGF: A Neural Representation for Fast Geodesic Distance and Path QueriesQijian Zhang, Junhui Hou, Yohanes Yudhi Adikusuma, Wenping Wang, Ying He. [doi]
• Improving *day-ahead* Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal ContextOussama Boussif, Ghait Boukachab, Dan Assouline, Stefano Massaroli, Tianle Yuan, Loubna Benabbou, Yoshua Bengio. [doi]
• Contrastive Training of Complex-Valued Autoencoders for Object DiscoveryAleksandar Stanic, Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber. [doi]
• Bandit Task Assignment with Unknown Processing TimeShinji Ito, Daisuke Hatano, Hanna Sumita, Kei Takemura, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi. [doi]
• Data-Informed Geometric Space SelectionShuai Zhang, Wenqi Jiang. [doi]
• CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction RefinementQihe Huang, Lei Shen, Ruixin Zhang, Shouhong Ding, Binwu Wang, Zhengyang Zhou, Yang Wang. [doi]
• Layer-Neighbor Sampling - Defusing Neighborhood Explosion in GNNsMuhammed Fatih Balin, Ümit V. Çatalyürek. [doi]
• Cross-modal Active Complementary Learning with Self-refining CorrespondenceYang Qin, Yuan Sun, Dezhong Peng, Joey Tianyi Zhou, Xi Peng 0001, Peng Hu 0002. [doi]
• The Equivalence of Dynamic and Strategic Stability under Regularized Learning in GamesVictor Boone, Panayotis Mertikopoulos. [doi]
• Bayesian Learning of Optimal Policies in Markov Decision Processes with Countably Infinite State-SpaceSaghar Adler, Vijay G. Subramanian. [doi]
• The Pick-to-Learn Algorithm: Empowering Compression for Tight Generalization Bounds and Improved Post-training PerformanceDario Paccagnan, Marco C. Campi, Simone Garatti. [doi]
• Replicable Reinforcement LearningEric Eaton, Marcel Hussing, Michael Kearns, Jessica Sorrell. [doi]
• Asynchronous Proportional Response Dynamics: Convergence in Markets with Adversarial SchedulingYoav Kolumbus, Menahem Levy, Noam Nisan. [doi]
• Convolutional State Space Models for Long-Range Spatiotemporal ModelingJimmy T. H. Smith, Shalini De Mello, Jan Kautz, Scott W. Linderman, Wonmin Byeon. [doi]
• A Privacy-Friendly Approach to Data ValuationJiachen T. Wang, Yuqing Zhu 0005, Yu-Xiang Wang 0003, Ruoxi Jia, Prateek Mittal. [doi]
• Formalizing locality for normative synaptic plasticity modelsColin Bredenberg, Ezekiel Williams, Cristina Savin, Blake A. Richards, Guillaume Lajoie. [doi]
• Enhancing Motion Deblurring in High-Speed Scenes with Spike StreamsShiyan Chen, Jiyuan Zhang, Yajing Zheng, Tiejun Huang 0001, Zhaofei Yu. [doi]
• Joint Feature and Differentiable k-NN Graph Learning using Dirichlet EnergyLei Xu, Lei Chen, Rong Wang, Feiping Nie, Xuelong Li. [doi]
• Fast Projected Newton-like Method for Precision Matrix Estimation under Total PositivityJianfeng Cai 0001, José Vinícius de Miranda Cardoso, Daniel P. Palomar, Jiaxi Ying. [doi]
• GMSF: Global Matching Scene FlowYushan Zhang, Johan Edstedt, Bastian Wandt, Per-Erik Forssén, Maria Magnusson, Michael Felsberg. [doi]
• Better Private Linear Regression Through Better Private Feature SelectionTravis Dick, Jennifer Gillenwater, Matthew Joseph. [doi]
• UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal PredictionYansong Ning, Hao Liu, Hao Wang, Zhenyu Zeng, Hui Xiong. [doi]
• Latent Field Discovery in Interacting Dynamical Systems with Neural FieldsMiltiadis Kofinas, Erik J. Bekkers, Naveen Shankar Nagaraja, Efstratios Gavves. [doi]
• Query-based Temporal Fusion with Explicit Motion for 3D Object DetectionJinghua Hou, Zhe Liu, Dingkang Liang, Zhikang Zou, Xiaoqing Ye, Xiang Bai. [doi]
• Cross-modal Prompts: Adapting Large Pre-trained Models for Audio-Visual Downstream TasksHaoyi Duan, Yan Xia, Mingze Zhou, Li Tang, Jieming Zhu, Zhou Zhao. [doi]
• Tanimoto Random Features for Scalable Molecular Machine LearningAustin Tripp, Sergio Bacallado, Sukriti Singh, José Miguel Hernández-Lobato. [doi]
• EV-Eye: Rethinking High-frequency Eye Tracking through the Lenses of Event CamerasGuangrong Zhao, Yurun Yang, Jingwei Liu, Ning Chen, Yiran Shen 0001, Hongkai Wen 0001, Guohao Lan. [doi]
• BayesDAG: Gradient-Based Posterior Inference for Causal DiscoveryYashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang 0005, Wenbo Gong 0001. [doi]
• Online robust non-stationary estimationAbishek Sankararaman, Balakrishnan Narayanaswamy. [doi]
• Improving CLIP Training with Language RewritesLijie Fan, Dilip Krishnan, Phillip Isola, Dina Katabi, Yonglong Tian. [doi]
• Optimal privacy guarantees for a relaxed threat model: Addressing sub-optimal adversaries in differentially private machine learningGeorgios Kaissis, Alexander Ziller, Stefan Kolek, Anneliese Riess, Daniel Rueckert. [doi]
• The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth EstimationSaurabh Saxena, Charles Herrmann, Junhwa Hur, Abhishek Kar, Mohammad Norouzi 0002, Deqing Sun, David J. Fleet. [doi]
• An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss FunctionsYingtai Xiao, Guanlin He, Danfeng Zhang, Daniel Kifer. [doi]
• Connecting Multi-modal Contrastive RepresentationsZehan Wang, Yang Zhao, Xize Cheng, Haifeng Huang, Jiageng Liu, Aoxiong Yin, Li Tang, Linjun Li, Yongqi Wang, Ziang Zhang, Zhou Zhao. [doi]
• Regret Minimization via Saddle Point OptimizationJohannes Kirschner, Seyed Alireza Bakhtiari, Kushagra Chandak, Volodymyr Tkachuk, Csaba Szepesvári. [doi]
• What can a Single Attention Layer Learn? A Study Through the Random Features LensHengyu Fu, Tianyu Guo 0004, Yu Bai 0017, Song Mei. [doi]
• Language Models Can Improve Event Prediction by Few-Shot Abductive ReasoningXiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei. [doi]
• Latent exploration for Reinforcement LearningAlberto Silvio Chiappa, Alessandro Marin Vargas, Ann Zixiang Huang, Alexander Mathis. [doi]
• Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed SourcesFeiyang Kang, Hoang Anh Just, Anit Kumar Sahu, Ruoxi Jia. [doi]
• Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization BoundsZiqiao Wang, Yongyi Mao. [doi]
• CoDet: Co-occurrence Guided Region-Word Alignment for Open-Vocabulary Object DetectionChuofan Ma, Yi Jiang, Xin Wen, Zehuan Yuan, Xiaojuan Qi. [doi]
• Uni3DETR: Unified 3D Detection TransformerZhenyu Wang 0005, Ya-Li Li, Xi Chen, Hengshuang Zhao, Shengjin Wang. [doi]
• From Trainable Negative Depth to Edge Heterophily in GraphsYuchen Yan, Yuzhong Chen, Huiyuan Chen, Minghua Xu 0003, Mahashweta Das, Hao Yang, Hanghang Tong. [doi]
• Collaborative Learning via Prediction ConsensusDongyang Fan, Celestine Mendler-Dünner, Martin Jaggi. [doi]
• OV-PARTS: Towards Open-Vocabulary Part SegmentationMeng Wei, Xiaoyu Yue, Wenwei Zhang, Shu Kong, Xihui Liu, Jiangmiao Pang. [doi]
• FLAIR : a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical ImageryAnatol Garioud, Nicolas Gonthier, Loïc Landrieu, Apolline De Wit, Marion Valette, Marc Poupée, Sébastien Giordano, Boris Wattrelos. [doi]
• PointGPT: Auto-regressively Generative Pre-training from Point CloudsGuangyan Chen, Meiling Wang, Yi Yang, Kai Yu, Li Yuan, Yufeng Yue. [doi]
• Unified Lower Bounds for Interactive High-dimensional Estimation under Information ConstraintsJayadev Acharya, Clément L. Canonne, Ziteng Sun, Himanshu Tyagi. [doi]
• Diversifying Spatial-Temporal Perception for Video Domain GeneralizationKun-Yu Lin, Jia-Run Du, Yipeng Gao, Jiaming Zhou, Wei-Shi Zheng 0001. [doi]
• Object Reprojection Error (ORE): Camera pose benchmarks from lightweight tracking annotationsXingyu Chen, Weiyao Wang 0001, Hao Tang, Matt Feiszli. [doi]
• Time Series as Images: Vision Transformer for Irregularly Sampled Time SeriesZekun Li 0008, Shiyang Li, Xifeng Yan. [doi]
• A case for reframing automated medical image classification as segmentationSarah M. Hooper, Mayee F. Chen, Khaled Saab 0002, Kush Bhatia, Curtis P. Langlotz, Christopher Ré. [doi]
• Learning Layer-wise Equivariances Automatically using GradientsTycho F. A. van der Ouderaa, Alexander Immer, Mark van der Wilk. [doi]
• MIM4DD: Mutual Information Maximization for Dataset DistillationYuzhang Shang, Zhihang Yuan, Yan Yan 0002. [doi]
• Fast Partitioned Learned Bloom FilterAtsuki Sato, Yusuke Matsui. [doi]
• Robust Data Valuation with Weighted Banzhaf ValuesWeida Li, Yaoliang Yu. [doi]
• Causal Effect Identification in Uncertain Causal NetworksSina Akbari, Fateme Jamshidi, Ehsan Mokhtarian, Matthew J. Vowels, Jalal Etesami, Negar Kiyavash. [doi]
• LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking SuiteArtur P. Toshev, Gianluca Galletti, Fabian Fritz, Stefan Adami, Nikolaus A. Adams. [doi]
• Inner-Outer Aware Reconstruction Model for Monocular 3D Scene ReconstructionYukun Qiu, Guo-Hao Xu, Wei-Shi Zheng 0001. [doi]
• Thin and deep Gaussian processesDaniel Augusto de Souza, Alexander Nikitin, St John, Magnus Ross, Mauricio A. Álvarez, Marc Peter Deisenroth, João Paulo Pordeus Gomes, Diego Mesquita, César C. Lincoln Mattos. [doi]
• Estimating Koopman operators with sketching to provably learn large scale dynamical systemsGiacomo Meanti, Antoine Chatalic, Vladimir Kostic, Pietro Novelli, Massimiliano Pontil, Lorenzo Rosasco. [doi]
• Formulating Discrete Probability Flow Through Optimal TransportPengze Zhang, Hubery Yin, Chen Li, Xiaohua Xie. [doi]
• Group Robust Classification Without Any Group InformationChristos Tsirigotis, João Monteiro, Pau Rodríguez, David Vázquez 0001, Aaron C. Courville. [doi]
• Statistically Valid Variable Importance Assessment through Conditional PermutationsAhmad Chamma, Denis A. Engemann, Bertrand Thirion. [doi]
• Time Series Kernels based on Nonlinear Vector AutoRegressive Delay EmbeddingsGiovanni de Felice, John Yannis Goulermas, Vladimir V. Gusev. [doi]
• Macro Placement by Wire-Mask-Guided Black-Box OptimizationYunqi Shi, Ke Xue 0001, Song Lei, Chao Qian 0001. [doi]
• Fast Optimal Transport through Sliced Generalized Wasserstein GeodesicsGuillaume Mahey, Laetitia Chapel, Gilles Gasso, Clément Bonet, Nicolas Courty. [doi]
• DataComp: In search of the next generation of multimodal datasetsSamir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander J. Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt. [doi]
• Jaccard Metric Losses: Optimizing the Jaccard Index with Soft LabelsZifu Wang, Xuefei Ning, Matthew B. Blaschko. [doi]
• Lift Yourself Up: Retrieval-augmented Text Generation with Self-MemoryXin Cheng, Di Luo, Xiuying Chen, Lemao Liu, Dongyan Zhao 0001, Rui Yan 0001. [doi]
• RangePerception: Taming LiDAR Range View for Efficient and Accurate 3D Object DetectionYeqi Bai, Ben Fei, Youquan Liu, Tao Ma, Yuenan Hou, Botian Shi, Yikang Li. [doi]
• Decorate3D: Text-Driven High-Quality Texture Generation for Mesh Decoration in the WildYanhui Guo, Xinxin Zuo, Peng Dai, Juwei Lu, Xiaolin Wu, Li Cheng, Youliang Yan, Songcen Xu, Xiaofei Wu. [doi]
• Constructing Non-isotropic Gaussian Diffusion Model Using Isotropic Gaussian Diffusion Model for Image EditingXi Yu, Xiang Gu 0005, Haozhi Liu, Jian Sun. [doi]
• Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial AttacksAoxiang Zhang, Yu Ran, Weixuan Tang, Yuan-Gen Wang. [doi]
• Learning Domain-Aware Detection Head with Prompt TuningHaochen Li, Rui Zhang 0040, Hantao Yao, Xinkai Song, Yifan Hao, Yongwei Zhao, Ling Li, Yunji Chen. [doi]
• OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real ObjectsIsabella Liu, Linghao Chen, Ziyang Fu, Liwen Wu, Haian Jin, Zhong Li, Chin Ming Ryan Wong, Yi Xu, Ravi Ramamoorthi, Zexiang Xu, Hao Su. [doi]
• Model Spider: Learning to Rank Pre-Trained Models EfficientlyYi-Kai Zhang, Ting-Ji Huang, Yao-Xiang Ding, De-Chuan Zhan, Han-Jia Ye. [doi]
• HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on TextHan Liu 0008, Zhi Xu, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu 0005, Xianchao Zhang. [doi]
• PrimDiffusion: Volumetric Primitives Diffusion for 3D Human GenerationZhaoxi Chen 0009, Fangzhou Hong, Haiyi Mei, Guangcong Wang, Lei Yang, Ziwei Liu. [doi]
• Unsupervised Anomaly Detection with RejectionLorenzo Perini, Jesse Davis. [doi]
• SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose EstimationHaobo Jiang, Mathieu Salzmann, Zheng Dang, Jin Xie, Jian Yang. [doi]
• Statistical Knowledge Assessment for Large Language ModelsQingxiu Dong, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li. [doi]
• Subclass-Dominant Label Noise: A Counterexample for the Success of Early StoppingYingbin Bai, Zhongyi Han, Erkun Yang, Jun Yu, Bo Han, Dadong Wang, Tongliang Liu. [doi]
• Emergent Communication in Interactive Sketch Question AnsweringZixing Lei, Yiming Zhang, Yuxin Xiong, Siheng Chen. [doi]
• Cal-DETR: Calibrated Detection TransformerMuhammad Akhtar Munir, Salman H. Khan 0001, Muhammad Haris Khan, Mohsen Ali, Fahad Shahbaz Khan. [doi]
• Improving Language Plasticity via Pretraining with Active ForgettingYihong Chen, Kelly Marchisio, Roberta Raileanu, David Ifeoluwa Adelani, Pontus Lars Erik Saito Stenetorp, Sebastian Riedel 0001, Mikel Artetxe. [doi]
• Pengi: An Audio Language Model for Audio TasksSoham Deshmukh, Benjamin Elizalde, Rita Singh, Huaming Wang. [doi]
• Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition PathsLars Holdijk, Yuanqi Du, Ferry Hooft, Priyank Jaini, Bernd Ensing, Max Welling. [doi]
• How2comm: Communication-Efficient and Collaboration-Pragmatic Multi-Agent PerceptionDingkang Yang, Kun Yang, Yuzheng Wang, Jing Liu, Zhi Xu, Rongbin Yin, Peng Zhai, Lihua Zhang. [doi]
• Visual Instruction Inversion: Image Editing via Image PromptingThao Nguyen, Yuheng Li, Utkarsh Ojha, Yong Jae Lee. [doi]
• Dynamically Masked Discriminator for GANsWentian Zhang, Haozhe Liu, Bing Li, Jinheng Xie, Yawen Huang, Yuexiang Li, Yefeng Zheng 0001, Bernard Ghanem. [doi]
• Generalized Weighted Path Consistency for Mastering Atari GamesDengwei Zhao, Shikui Tu, Lei Xu 0001. [doi]
• Geodesic Multi-Modal Mixup for Robust Fine-TuningChangdae Oh, Junhyuk So, Hoyoon Byun, Yongtaek Lim, Minchul Shin, Jong-June Jeon, Kyungwoo Song. [doi]
• Synthcity: a benchmark framework for diverse use cases of tabular synthetic dataZhaozhi Qian, Robert Davis, Mihaela van der Schaar. [doi]
• Intervention Generalization: A View from Factor Graph ModelsGecia Bravo Hermsdorff, David S. Watson, Jialin Yu, Jakob Zeitler, Ricardo Silva. [doi]
• Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement LearningHanlin Zhu, Paria Rashidinejad, Jiantao Jiao. [doi]
• FAMO: Fast Adaptive Multitask OptimizationBo Liu, Yihao Feng, Peter Stone, Qiang Liu. [doi]
• Sequential Predictive Two-Sample and Independence TestingAleksandr Podkopaev, Aaditya Ramdas. [doi]
• In-Context Learning Unlocked for Diffusion ModelsZhendong Wang, Yifan Jiang 0001, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang (Atlas) Wang, Mingyuan Zhou. [doi]
• Triple Eagle: Simple, Fast and Practical Budget-Feasible MechanismsKai Han, You Wu, He Huang, Shuang Cui. [doi]
• Automated Classification of Model Errors on ImageNetMomchil Peychev, Mark Niklas Müller, Marc Fischer 0002, Martin T. Vechev. [doi]
• Score-based Source Separation with Applications to Digital Communication SignalsTejas Jayashankar, Gary C. F. Lee, Alejandro Lancho, Amir Weiss, Yury Polyanskiy, Gregory W. Wornell. [doi]
• Hierarchical Adaptive Value Estimation for Multi-modal Visual Reinforcement LearningYangru Huang, Peixi Peng, Yifan Zhao, Haoran Xu, Mengyue Geng, YongHong Tian. [doi]
• Learning Neural Implicit through Volume Rendering with Attentive Depth Fusion PriorsPengchong Hu, Zhizhong Han. [doi]
• The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image ClassificationLinhao Qu, Xiaoyuan Luo, Kexue Fu, Manning Wang, Zhijian Song. [doi]
• Riemannian Residual Neural NetworksIsay Katsman, Eric Chen, Sidhanth Holalkere, Anna Asch, Aaron Lou, Ser-Nam Lim, Christopher De Sa. [doi]
• Lookaround Optimizer: k steps around, 1 step averageJiangtao Zhang, Shunyu Liu 0001, Jie Song 0011, Tongtian Zhu, Zhengqi Xu, Mingli Song. [doi]
• Environment-Aware Dynamic Graph Learning for Out-of-Distribution GeneralizationHaonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng 0001, Jianxin Li 0002. [doi]
• π-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to IgnoreGellért Weisz, András György 0001, Csaba Szepesvári. [doi]
• The Waymo Open Sim Agents ChallengeNico Montali, John Lambert, Paul Mougin, Alex Kuefler, Nicholas Rhinehart, Michelle Li, Cole Gulino, Tristan Emrich, Zoey Yang, Shimon Whiteson, Brandyn White, Dragomir Anguelov. [doi]
• DP-HyPO: An Adaptive Private Framework for Hyperparameter OptimizationHua Wang, Sheng Gao, Huanyu Zhang, Weijie J. Su, Milan Shen. [doi]
• Flat Seeking Bayesian Neural NetworksVan-Anh Nguyen, Tung Long Vuong, Hoang Phan, Thanh-Toan Do, Dinh Q. Phung, Trung Le. [doi]
• GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree TopologiesTakahiro Mimori, Michiaki Hamada. [doi]
• Predicting Global Label Relationship Matrix for Graph Neural Networks under HeterophilyLangzhang Liang, Xiangjing Hu, Zenglin Xu, Zixing Song, Irwin King. [doi]
• Marich: A Query-efficient Distributionally Equivalent Model Extraction AttackPratik Karmakar, Debabrota Basu. [doi]
• RGMIL: Guide Your Multiple-Instance Learning Model with RegressorZhaolong Du, Shasha Mao, Yimeng Zhang, Shuiping Gou, Licheng Jiao, Lin Xiong. [doi]
• Scalable Membership Inference Attacks via Quantile RegressionMartin Bertran, Shuai Tang, Aaron Roth 0001, Michael Kearns, Jamie Morgenstern, Steven Wu 0001. [doi]
• AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User SystemsJeroen Berrevoets, Daniel Jarrett, Alex J. Chan, Mihaela van der Schaar. [doi]
• When Visual Prompt Tuning Meets Source-Free Domain Adaptive Semantic SegmentationXinhong Ma, Yiming Wang, Hao Liu, Tianyu Guo 0001, Yunhe Wang. [doi]
• Video Dynamics Prior: An Internal Learning Approach for Robust Video EnhancementsGaurav Shrivastava, Ser-Nam Lim, Abhinav Shrivastava. [doi]
• Fast Exact Leverage Score Sampling from Khatri-Rao Products with Applications to Tensor DecompositionVivek Bharadwaj, Osman Asif Malik, Riley Murray, Laura Grigori, Aydin Buluç, James Demmel. [doi]
• SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two SecondsYanyu Li, Huan Wang, Qing Jin, Ju Hu, Pavlo Chemerys, Yun Fu 0001, Yanzhi Wang, Sergey Tulyakov, Jian Ren. [doi]
• Transient Neural Radiance Fields for Lidar View Synthesis and 3D ReconstructionAnagh Malik, Parsa Mirdehghan, Sotiris Nousias, Kyros Kutulakos, David B. Lindell. [doi]
• VRA: Variational Rectified Activation for Out-of-distribution DetectionMingyu Xu, Zheng Lian, Bin Liu, Jianhua Tao. [doi]
• A Trichotomy for Transductive Online LearningSteve Hanneke, Shay Moran, Jonathan Shafer. [doi]
• Experiment Planning with Function ApproximationAldo Pacchiano, Jonathan Lee 0002, Emma Brunskill. [doi]
• Nearest Neighbour with Bandit FeedbackStephen Pasteris, Chris Hicks, Vasilios Mavroudis. [doi]
• Structure from Duplicates: Neural Inverse Graphics from a Pile of ObjectsTianhang Cheng, Wei-Chiu Ma, Kaiyu Guan, Antonio Torralba 0001, Shenlong Wang. [doi]
• Censored Sampling of Diffusion Models Using 3 Minutes of Human FeedbackTaeho Yoon, Kibeom Myoung, Keon Lee, Jaewoong Cho, Albert No, Ernest K. Ryu. [doi]
• Active Observing in Continuous-time ControlSamuel Holt, Alihan Hüyük, Mihaela van der Schaar. [doi]
• Deep Fractional Fourier TransformHu Yu, Jie Huang, Lingzhi Li, Man Zhou, Feng Zhao. [doi]
• Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative ModelsAndrew Luo, Maggie Henderson, Leila Wehbe, Michael J. Tarr. [doi]
• Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value RegularizationXiangsen Wang, Haoran Xu, Yinan Zheng, Xianyuan Zhan. [doi]
• PRODIGY: Enabling In-context Learning Over GraphsQian Huang, Hongyu Ren, Peng Chen, Gregor Krzmanc, Daniel Zeng 0003, Percy Liang, Jure Leskovec. [doi]
• NCDL: A Framework for Deep Learning on non-Cartesian LatticesJoshua Horacsek, Usman R. Alim. [doi]
• Deep Gaussian Markov Random Fields for Graph-Structured Dynamical SystemsFiona Lippert, Bart Kranstauber, Emiel van Loon, Patrick Forré. [doi]
• ASIF: Coupled Data Turns Unimodal Models to Multimodal without TrainingAntonio Norelli, Marco Fumero, Valentino Maiorca, Luca Moschella, Emanuele Rodolà, Francesco Locatello. [doi]
• Generalizable One-shot 3D Neural Head AvatarXueting Li, Shalini De Mello, Sifei Liu, Koki Nagano, Umar Iqbal 0001, Jan Kautz. [doi]
• Digital Typhoon: Long-term Satellite Image Dataset for the Spatio-Temporal Modeling of Tropical CyclonesAsanobu Kitamoto, Jared Hwang, Bastien Vuillod, Lucas Gautier, Yingtao Tian, Tarin Clanuwat. [doi]
• Best Arm Identification with Fixed Budget: A Large Deviation PerspectivePo-An Wang, Ruo-Chun Tzeng, Alexandre Proutière. [doi]
• DeepfakeBench: A Comprehensive Benchmark of Deepfake DetectionZhiyuan Yan 0002, Yong Zhang 0034, Xinhang Yuan, Siwei Lyu, Baoyuan Wu. [doi]
• Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate TargetsAnirudhan Badrinath, Yannis Flet-Berliac, Allen Nie, Emma Brunskill. [doi]
• On Evaluating Adversarial Robustness of Large Vision-Language ModelsYunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Chongxuan Li, Ngai-Man Cheung, Min Lin. [doi]
• All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D SegmentationLiyao Tang, Zhe Chen, Shanshan Zhao, Chaoyue Wang, Dacheng Tao. [doi]
• Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency MedicineEmma Chen, Aman Kansal, Julie Chen, Boyang Tom Jin, Julia Rachel Reisler, David A. Kim, Pranav Rajpurkar. [doi]
• ECG-QA: A Comprehensive Question Answering Dataset Combined With ElectrocardiogramJungwoo Oh, Gyubok Lee, Seongsu Bae, Joon-myoung Kwon, Edward Choi. [doi]
• Scalable Transformer for PDE Surrogate ModelingZijie Li, Dule Shu, Amir Barati Farimani. [doi]
• Off-Policy Evaluation for Human FeedbackQitong Gao, Ge Gao, Juncheng Dong, Vahid Tarokh, Min Chi, Miroslav Pajic. [doi]
• Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns ClusteringYijun Dong, Kevin Miller, Qi Lei, Rachel Ward. [doi]
• Diversify Your Vision Datasets with Automatic Diffusion-based AugmentationLisa Dunlap, Alyssa Umino, Han Zhang, Jiezhi Yang, Joseph E. Gonzalez, Trevor Darrell. [doi]
• PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about ChangeKarthik Valmeekam, Matthew Marquez, Alberto Olmo Hernandez, Sarath Sreedharan, Subbarao Kambhampati. [doi]
• Discrete-Smoothness in Online Algorithms with PredictionsYossi Azar, Debmalya Panigrahi, Noam Touitou. [doi]
• When Does Optimizing a Proper Loss Yield Calibration?Jaroslaw Blasiok, Parikshit Gopalan, Lunjia Hu, Preetum Nakkiran. [doi]
• Exact recovery and Bregman hard clustering of node-attributed Stochastic Block ModelMaximilien Dreveton, Felipe S. Fernandes, Daniel R. Figueiredo 0001. [doi]
• Parameter-efficient Tuning of Large-scale Multimodal Foundation ModelHaixin Wang 0003, Xinlong Yang, Jianlong Chang, Dian Jin, Jinan Sun, Shikun Zhang, Xiao Luo 0001, Qi Tian 0001. [doi]
• Convolution Monge Mapping Normalization for learning on sleep dataThéo Gnassounou, Rémi Flamary, Alexandre Gramfort. [doi]
• Lie Point Symmetry and Physics-Informed NetworksTara Akhound-Sadegh, Laurence Perreault Levasseur, Johannes Brandstetter, Max Welling, Siamak Ravanbakhsh. [doi]
• Likelihood-Based Diffusion Language ModelsIshaan Gulrajani, Tatsunori B. Hashimoto. [doi]
• Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying RecognitionYiting Dong, Yang Li, Dongcheng Zhao, Guobin Shen, Yi Zeng 0001. [doi]
• CARE: Modeling Interacting Dynamics Under Temporal Environmental VariationXiao Luo 0001, Haixin Wang 0003, Zijie Huang 0002, HuiYu Jiang, Abhijeet Gangan, Song Jiang 0002, Yizhou Sun. [doi]
• Distilling Out-of-Distribution Robustness from Vision-Language Foundation ModelsAndy Zhou, Jindong Wang 0001, Yu-Xiong Wang, Haohan Wang. [doi]
• A Long N-step Surrogate Stage Reward for Deep Reinforcement LearningJunmin Zhong, Ruofan Wu, Jennie Si. [doi]
• Operation-Level Early Stopping for Robustifying Differentiable NASShen Jiang, Zipeng Ji, Guanghui Zhu, Chunfeng Yuan, Yihua Huang 0001. [doi]
• Hyper-HMM: aligning human brains and semantic features in a common latent event spaceCaroline Lee, Jane Han, Feilong Ma, Jiahui Guo, James V. Haxby, Christopher Baldassano. [doi]
• Diverse Conventions for Human-AI CollaborationBidipta Sarkar, Andy Shih, Dorsa Sadigh. [doi]
• Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal DataYiwen Kou, Zixiang Chen, Quanquan Gu. [doi]
• Are GATs Out of Balance?Nimrah Mustafa, Aleksandar Bojchevski, Rebekka Burkholz. [doi]
• Minimax Forward and Backward Learning of Evolving Tasks with Performance GuaranteesVerónica Álvarez, Santiago Mazuelas, Jose A. Lozano. [doi]
• Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process RegressionRobert Allison, Anthony Stephenson, Samuel F, Edward O. Pyzer-Knapp. [doi]
• Slot-guided Volumetric Object Radiance FieldsDi Qi, Tong Yang, Xiangyu Zhang. [doi]
• Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative FeedbackHan Shao, Lee Cohen 0001, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew R. Walter. [doi]
• Adaptive Data Analysis in a Balanced Adversarial ModelKobbi Nissim, Uri Stemmer, Eliad Tsfadia. [doi]
• An Iterative Self-Learning Framework for Medical Domain GeneralizationZhenbang Wu, Huaxiu Yao, David M. Liebovitz, Jimeng Sun 0001. [doi]
• Recursion in Recursion: Two-Level Nested Recursion for Length Generalization with ScalabilityJishnu Ray Chowdhury, Cornelia Caragea. [doi]
• Structured Semidefinite Programming for Recovering Structured PreconditionersArun Jambulapati, Jerry Li 0001, Christopher Musco, Kirankumar Shiragur, Aaron Sidford, Kevin Tian. [doi]
• A Neural Collapse Perspective on Feature Evolution in Graph Neural NetworksVignesh Kothapalli, Tom Tirer, Joan Bruna. [doi]
• Assumption violations in causal discovery and the robustness of score matchingFrancesco Montagna, Atalanti-Anastasia Mastakouri, Elias Eulig, Nicoletta Noceti, Lorenzo Rosasco, Dominik Janzing, Bryon Aragam, Francesco Locatello. [doi]
• Beta DiffusionMingyuan Zhou, TianQi Chen, Zhendong Wang, Huangjie Zheng. [doi]
• Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow Shrink TreesBryan Andrews, Joseph D. Ramsey, Ruben Sanchez-Romero, Jazmin Camchong, Erich Kummerfeld. [doi]
• Statistical and Computational Trade-off in Multi-Agent Multi-Armed BanditsFilippo Vannella, Alexandre Proutière, Jaeseong Jeong. [doi]
• Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spacesMartin Ryner, Jan Kronqvist, Johan Karlsson. [doi]
• Prefix-Tree Decoding for Predicting Mass Spectra from MoleculesSamuel Goldman, John Bradshaw, Jiayi Xin, Connor W. Coley. [doi]
• Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual ProsthesesJacob Granley, Tristan Fauvel, Matthew Chalk, Michael Beyeler. [doi]
• One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement LearningMarc Rigter, Bruno Lacerda, Nick Hawes. [doi]
• Sparsity-Preserving Differentially Private Training of Large Embedding ModelsBadih Ghazi, Yangsibo Huang, Pritish Kamath, Ravi Kumar 0001, Pasin Manurangsi, Amer Sinha, Chiyuan Zhang. [doi]
• Attentive Transfer Entropy to Exploit Transient Emergence of Coupling EffectXiaolei Ru, Xinya Zhang, Zijia Liu, Jack Murdoch Moore, Gang Yan. [doi]
• Neural Functional TransformersAllan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn. [doi]
• RADAR: Robust AI-Text Detection via Adversarial LearningXiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho. [doi]
• ODE-based Recurrent Model-free Reinforcement Learning for POMDPsXuanle Zhao, Duzhen Zhang, Liyuan Han, Tielin Zhang, Bo Xu. [doi]
• EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated LearningMohammad Mahdi Rahimi, Hasnain Irshad Bhatti, Younghyun Park, Humaira Kousar, Do Yeon Kim, Jaekyun Moon. [doi]
• Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RLPeng Cheng, Xianyuan Zhan, Zhi-Hao Wu 0001, WenJia Zhang, Youfang Lin, Shoucheng Song, Han Wang, Li Jiang. [doi]
• Latent Space Translation via Semantic AlignmentValentino Maiorca, Luca Moschella, Antonio Norelli, Marco Fumero, Francesco Locatello, Emanuele Rodolà. [doi]
• Towards a fuller understanding of neurons with Clustered Compositional ExplanationsBiagio La Rosa, Leilani Gilpin, Roberto Capobianco. [doi]
• Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian RewardsSilviu Pitis. [doi]
• Drift doesn't Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly DetectionChengsen Wang, Zirui Zhuang, Qi Qi, Jingyu Wang 0001, Xingyu Wang, Haifeng Sun 0001, Jianxin Liao. [doi]
• PETAL: Physics Emulation Through Averaged Linearizations for Solving Inverse ProblemsJihui Jin, Etienne Ollivier, Richard Touret, Matthew McKinley, Karim Sabra, Justin Romberg. [doi]
• Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object DetectionHaibao Yu, Yingjuan Tang, Enze Xie, Jilei Mao, Ping Luo, Zaiqing Nie. [doi]
• Reliable learning in challenging environmentsMaria-Florina Balcan, Steve Hanneke, Rattana Pukdee, Dravyansh Sharma. [doi]
• On Generalization Bounds for Projective ClusteringMaria Sofia Bucarelli, Matilde Fjeldsø Larsen, Chris Schwiegelshohn, Mads Toftrup. [doi]
• LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph MatchingDuy M. H. Nguyen, Hoang Nguyen, Nghiem Tuong Diep, Tan Ngoc Pham, Tri Cao, Binh T. Nguyen 0001, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Mathias Niepert. [doi]
• Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous OutcomesConnor Toups, Rishi Bommasani, Kathleen Creel, Sarah H. Bana, Dan Jurafsky, Percy Liang. [doi]
• Alleviating the Semantic Gap for Generalized fMRI-to-Image ReconstructionTao Fang, Qian Zheng, Gang Pan 0001. [doi]
• Parallel Sampling of Diffusion ModelsAndy Shih, Suneel Belkhale, Stefano Ermon, Dorsa Sadigh, Nima Anari. [doi]
• Trajectory Alignment: Understanding the Edge of Stability Phenomenon via Bifurcation TheoryMinhak Song, Chulhee Yun. [doi]
• Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text GenerationWei Jin 0009, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo 0003, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li 0002, Zhen Li, Monica Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang. [doi]
• Training neural operators to preserve invariant measures of chaotic attractorsRuoxi Jiang, Peter Y. Lu, Elena Orlova, Rebecca Willett. [doi]
• Building Socio-culturally Inclusive Stereotype Resources with Community EngagementSunipa Dev, Jaya Goyal, Dinesh Tewari, Shachi Dave, Vinodkumar Prabhakaran. [doi]
• Knowledge Distillation for High Dimensional Search IndexZepu Lu, Jin Chen, Defu Lian, Zaixi Zhang, Yong Ge, Enhong Chen. [doi]
• LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object RecognitionHaoxuan Qu, Xiaofei Hui, Yujun Cai, Jun Liu. [doi]
• P-Flow: A Fast and Data-Efficient Zero-Shot TTS through Speech PromptingSungwon Kim, Kevin J. Shih, Rohan Badlani, João Felipe Santos, Evelina Bakhturina, Mikyas Desta, Rafael Valle, Sungroh Yoon, Bryan Catanzaro. [doi]
• Federated Linear Bandits with Finite Adversarial ActionsLi Fan, Ruida Zhou, Chao Tian 0002, Cong Shen 0001. [doi]
• A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge GraphsXingyue Huang, Miguel Romero 0001, Ismail Ilkan Ceylan, Pablo Barceló. [doi]
• Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement LearningZikang Tian, Ruizhi Chen, Xing Hu, Ling Li, Rui Zhang, Fan Wu, Shaohui Peng, Jiaming Guo, Zidong Du, Qi Guo, Yunji Chen. [doi]
• Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMMZiba Parsons, Fei Dou, Houyi Du, Zheng Song, Jin Lu. [doi]
• Geometric Transformer with Interatomic Positional EncodingYusong Wang, Shaoning Li, Tong Wang, Bin Shao, Nanning Zheng 0001, Tie-Yan Liu. [doi]
• Calibrating Neural Simulation-Based Inference with Differentiable Coverage ProbabilityMaciej Falkiewicz, Naoya Takeishi, Imahn Shekhzadeh, Antoine Wehenkel, Arnaud Delaunoy, Gilles Louppe, Alexandros Kalousis. [doi]
• Hybrid Policy Optimization from Imperfect DemonstrationsHanlin Yang, Chao Yu, Peng Sun, Siji Chen. [doi]
• f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-DivergencesSiddhant Agarwal, Ishan Durugkar, Peter Stone, Amy Zhang. [doi]
• Global-correlated 3D-decoupling Transformer for Clothed Avatar ReconstructionZechuan Zhang, Li Sun, Zongxin Yang, Ling Chen 0001, Yi Yang 0001. [doi]
• Test-Time Amendment with a Coarse Classifier for Fine-Grained ClassificationKanishk Jain, Shyamgopal Karthik, Vineet Gandhi. [doi]
• Generalizing Importance Weighting to A Universal Solver for Distribution Shift ProblemsTongtong Fang, Nan Lu, Gang Niu 0001, Masashi Sugiyama. [doi]
• Critical Initialization of Wide and Deep Neural Networks using Partial Jacobians: General Theory and ApplicationsDarshil Doshi, Tianyu He, Andrey Gromov. [doi]
• SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal DataBang An, Xun Zhou, Yongjian Zhong, Tianbao Yang. [doi]
• Train 'n Trade: Foundations of Parameter MarketsTzu-Heng Huang, Harit Vishwakarma, Frederic Sala. [doi]
• ALGO: Synthesizing Algorithmic Programs with Generated Oracle VerifiersKexun Zhang, Danqing Wang, Jingtao Xia, William Yang Wang, Lei Li. [doi]
• Window-Based Distribution Shift Detection for Deep Neural NetworksGuy Bar-Shalom, Yonatan Geifman, Ran El-Yaniv. [doi]
• POMDP Planning for Object Search in Partially Unknown EnvironmentYongbo Chen, Hanna Kurniawati. [doi]
• A fast heuristic to optimize time-space tradeoff for large modelsAkifumi Imanishi, Zijian Xu 0004, Masayuki Takagi, Sixue Wang, Emilio Castillo. [doi]
• Large Language Model as Attributed Training Data Generator: A Tale of Diversity and BiasYue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng 0001, Alexander J. Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang. [doi]
• Tempo Adaptation in Non-stationary Reinforcement LearningHyunin Lee, Yuhao Ding, Jongmin Lee, Ming Jin 0002, Javad Lavaei, Somayeh Sojoudi. [doi]
• Implicit Manifold Gaussian Process RegressionBernardo Fichera, Slava Borovitskiy, Andreas Krause 0001, Aude Gemma Billard. [doi]
• Polyhedron Attention Module: Learning Adaptive-order InteractionsTan Zhu, Fei Dou, Xinyu Wang, Jin Lu 0001, Jinbo Bi. [doi]
• Thinker: Learning to Plan and ActStephen Chung, Ivan Anokhin, David Krueger. [doi]
• Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation MaximizationShu Yu Tew, Mario Boley, Daniel F. Schmidt. [doi]
• CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image SteganographyJiwen Yu, Xuanyu Zhang, Youmin Xu, Jian Zhang. [doi]
• Automatic Integration for Spatiotemporal Neural Point ProcessesZihao Zhou, Rose Yu. [doi]
• Private Distribution Learning with Public Data: The View from Sample CompressionShai Ben-David, Alex Bie, Clément L. Canonne, Gautam Kamath 0001, Vikrant Singhal. [doi]
• (Amplified) Banded Matrix Factorization: A unified approach to private trainingChristopher A. Choquette-Choo, Arun Ganesh, Ryan Mckenna, H. Brendan McMahan, John Rush, Abhradeep Guha Thakurta, Zheng Xu 0002. [doi]
• Bifurcations and loss jumps in RNN trainingLukas Eisenmann, Zahra Monfared, Niclas Alexander Göring, Daniel Durstewitz. [doi]
• GAN You See Me? Enhanced Data Reconstruction Attacks against Split InferenceZiang Li, Mengda Yang, Yaxin Liu, Juan Wang, Hongxin Hu, Wenzhe Yi, Xiaoyang Xu. [doi]
• Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-OptYining Ma 0001, Zhiguang Cao, Yeow Meng Chee. [doi]
• Embracing the chaos: analysis and diagnosis of numerical instability in variational flowsZuheng Xu, Trevor Campbell. [doi]
• Information Maximization Perspective of Orthogonal Matching Pursuit with Applications to Explainable AIAditya Chattopadhyay, Ryan Pilgrim, René Vidal. [doi]
• Sharp Bounds for Generalized Causal Sensitivity AnalysisDennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel. [doi]
• On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component AnalysisArghya Datta, Sayak Chakrabarty. [doi]
• Effective Bayesian Heteroscedastic Regression with Deep Neural NetworksAlexander Immer, Emanuele Palumbo, Alexander Marx, Julia E. Vogt. [doi]
• Path Regularization: A Convexity and Sparsity Inducing Regularization for Parallel ReLU NetworksTolga Ergen, Mert Pilanci. [doi]
• Dynamic Regret of Adversarial Linear Mixture MDPsLong-Fei Li, Peng Zhao 0006, Zhi-Hua Zhou. [doi]
• SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMsLijun Yu, Yong Cheng, Zhiruo Wang, Vivek Kumar, Wolfgang Macherey, Yanping Huang, David A. Ross, Irfan Essa, Yonatan Bisk, Ming-Hsuan Yang 0001, Kevin P. Murphy, Alexander G. Hauptmann, Lu Jiang 0004. [doi]
• SG×P : A Sorghum Genotype × Phenotype Prediction Dataset and BenchmarkZeyu Zhang, Robert Pless, Nadia Shakoor, Austin Carnahan, Abby Stylianou. [doi]
• Unsupervised Polychromatic Neural Representation for CT Metal Artifact ReductionQing Wu, Lixuan Chen, Ce Wang, Hongjiang Wei, S. Kevin Zhou, Jingyi Yu, Yuyao Zhang. [doi]
• The Bayesian Stability ZooShay Moran, Hilla Schefler, Jonathan Shafer. [doi]
• Fair Streaming Principal Component Analysis: Statistical and Algorithmic ViewpointJunghyun Lee, Hanseul Cho 0002, Se-Young Yun, Chulhee Yun. [doi]
• SmooSeg: Smoothness Prior for Unsupervised Semantic SegmentationMengcheng Lan, Xinjiang Wang, Yiping Ke, Jiaxing Xu, Litong Feng, Wayne Zhang. [doi]
• Label Robust and Differentially Private Linear Regression: Computational and Statistical EfficiencyXiyang Liu, Prateek Jain 0002, Weihao Kong, Sewoong Oh, Arun Sai Suggala. [doi]
• Loss Decoupling for Task-Agnostic Continual LearningYan-Shuo Liang, Wu-Jun Li. [doi]
• Efficient Low-rank Backpropagation for Vision Transformer AdaptationYuedong Yang, Hung-Yueh Chiang, Guihong Li, Diana Marculescu, Radu Marculescu. [doi]
• Optimality of Message-Passing Architectures for Sparse GraphsAseem Baranwal, Kimon Fountoulakis, Aukosh Jagannath. [doi]
• Switching Temporary Teachers for Semi-Supervised Semantic SegmentationJaemin Na, Jung-Woo Ha 0001, Hyung Jin Chang, Dongyoon Han, Wonjun Hwang. [doi]
• CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image ManipulationSihan Xu, Ziqiao Ma, Yidong Huang, Honglak Lee, Joyce Chai. [doi]
• Identifiable Contrastive Learning with Automatic Feature Importance DiscoveryQi Zhang, Yifei Wang, Yisen Wang. [doi]
• BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level OptimizationChen Fan, Gaspard Choné-Ducasse, Mark Schmidt 0001, Christos Thrampoulidis. [doi]
• One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative ModelsBa-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone. [doi]
• Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and AnalysisDachao Lin, Yuze Han, Haishan Ye, Zhihua Zhang. [doi]
• IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AIBochuan Cao, Changjiang Li, Ting Wang 0006, Jinyuan Jia, Bo Li, Jinghui Chen. [doi]
• On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long SequencesAlireza Fathollah Pour, Hassan Ashtiani. [doi]
• Variational Annealing on Graphs for Combinatorial OptimizationSebastian Sanokowski, Wilhelm Berghammer, Sepp Hochreiter, Sebastian Lehner. [doi]
• LART: Neural Correspondence Learning with Latent Regularization Transformer for 3D Motion TransferHaoyu Chen, Hao Tang, Radu Timofte, Luc Van Gool, Guoying Zhao 0001. [doi]
• Prompt-augmented Temporal Point Process for Streaming Event SequenceSiqiao Xue, Yan Wang, Zhixuan Chu, Xiaoming Shi, Caigao Jiang, Hongyan Hao, Gangwei Jiang, Xiaoyun Feng, James Zhang, Jun Zhou 0011. [doi]
• H3T: Efficient Integration of Memory Optimization and Parallelism for Large-scale Transformer TrainingYuzhong Wang, Xu Han, Weilin Zhao, Guoyang Zeng, Zhiyuan Liu, Maosong Sun 0001. [doi]
• Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the MediterraneanSpyridon Kondylatos, Ioannis Prapas, Gustau Camps-Valls, Ioannis Papoutsis. [doi]
• An Inverse Scaling Law for CLIP TrainingXianhang Li, Zeyu Wang 0008, Cihang Xie. [doi]
• Contrastive Sampling Chains in Diffusion ModelsJunyu Zhang, Daochang Liu, Shichao Zhang, Chang Xu. [doi]
• Discovering General Reinforcement Learning Algorithms with Adversarial Environment DesignMatthew Thomas Jackson, Minqi Jiang, Jack Parker-Holder, Risto Vuorio, Chris Lu 0001, Gregory Farquhar, Shimon Whiteson, Jakob N. Foerster. [doi]
• Abide by the law and follow the flow: conservation laws for gradient flowsSibylle Marcotte, Rémi Gribonval, Gabriel Peyré. [doi]
• Feature Adaptation for Sparse Linear RegressionJonathan A. Kelner, Frederic Koehler, Raghu Meka, Dhruv Rohatgi. [doi]
• MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph DataTianyu Liu 0005, Yuge Wang, Rex Ying, Hongyu Zhao 0003. [doi]
• Deep Equilibrium Based Neural Operators for Steady-State PDEsTanya Marwah, Ashwini Pokle, J. Zico Kolter, Zachary C. Lipton, Jianfeng Lu 0001, Andrej Risteski. [doi]
• Pareto Frontiers in Deep Feature Learning: Data, Compute, Width, and LuckBenjamin L. Edelman, Surbhi Goel, Sham M. Kakade, Eran Malach, Cyril Zhang. [doi]
• FedL2P: Federated Learning to PersonalizeRoyson Lee, Minyoung Kim, Da Li 0001, Xinchi Qiu, Timothy M. Hospedales, Ferenc Huszar, Nicholas D. Lane. [doi]
• SLaM: Student-Label Mixing for Distillation with Unlabeled ExamplesVasilis Kontonis, Fotis Iliopoulos, Khoa Trinh, Cenk Baykal, Gaurav Menghani, Erik Vee. [doi]
• Towards Efficient and Accurate Winograd Convolution via Full QuantizationTianQi Chen, Weixiang Xu, Weihan Chen, Peisong Wang, Jian Cheng 0001. [doi]
• Scaling Data-Constrained Language ModelsNiklas Muennighoff, Alexander M. Rush, Boaz Barak, Teven Le Scao, Nouamane Tazi, Aleksandra Piktus, Sampo Pyysalo, Thomas Wolf 0008, Colin A. Raffel. [doi]
• Searching for Optimal Per-Coordinate Step-sizes with Multidimensional BacktrackingFrederik Kunstner, Victor Sanches Portella, Mark Schmidt 0001, Nicholas J. A. Harvey. [doi]
• Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levelsVijay Veerabadran, Srinivas Ravishankar, Yuan Tang, Ritik Raina, Virginia de Sa. [doi]
• Detection Based Part-level Articulated Object Reconstruction from Single RGBD ImageYuki Kawana, Tatsuya Harada. [doi]
• Structured Federated Learning through Clustered Additive ModelingJie Ma, Tianyi Zhou 0001, Guodong Long, Jing Jiang 0002, Chengqi Zhang. [doi]
• Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language ModelsShuo Chen 0014, Jindong Gu, Zhen Han, Yunpu Ma, Philip H. S. Torr, Volker Tresp. [doi]
• Zero-shot Visual Relation Detection via Composite Visual Cues from Large Language ModelsLin Li, Jun Xiao 0001, Guikun Chen, Jian Shao, Yueting Zhuang, Long Chen. [doi]
• An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in RecommendationsHaoran Yang, Xiangyu Zhao, Yicong Li 0001, Hongxu Chen, Guandong Xu. [doi]
• Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target DataCheng-Hao Tu 0004, Hong-You Chen, Zheda Mai, Jike Zhong, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao 0001, Charles V. Stewart, Yu Su, Wei-Lun Chao. [doi]
• Interpretable Reward Redistribution in Reinforcement Learning: A Causal ApproachYudi Zhang 0007, Yali Du 0001, Biwei Huang, Ziyan Wang, Jun Wang, Meng Fang, Mykola Pechenizkiy. [doi]
• Sample Complexity of Goal-Conditioned Hierarchical Reinforcement LearningArnaud Robert, Ciara Pike-Burke, Aldo A. Faisal. [doi]
• 2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated LearningZhongyi Cai, Ye Shi 0001, Wei Huang, Jingya Wang. [doi]
• Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D DiffusionWeitao Du, Jiujiu Chen, Xuecang Zhang, Zhi-Ming Ma, Shengchao Liu. [doi]
• Video Timeline Modeling For News Story UnderstandingMeng Liu, Mingda Zhang, Jialu Liu, Hanjun Dai, Ming-Hsuan Yang 0001, Shuiwang Ji, Zheyun Feng, Boqing Gong. [doi]
• Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust ModelsWaïss Azizian, Franck Iutzeler, Jérôme Malick. [doi]
• Intrinsic Dimension Estimation for Robust Detection of AI-Generated TextsEduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Sergey I. Nikolenko, Evgeny Burnaev, Serguei Barannikov, Irina Piontkovskaya. [doi]
• Max-Margin Token Selection in Attention MechanismDavoud Ataee Tarzanagh, Yingcong Li, Xuechen Zhang, Samet Oymak. [doi]
• Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly DetectionHezhe Qiao, Guansong Pang. [doi]
• Convolutional Neural Operators for robust and accurate learning of PDEsBogdan Raonic, Roberto Molinaro, Tim De Ryck, Tobias Rohner, Francesca Bartolucci, Rima Alaifari, Siddhartha Mishra, Emmanuel de Bézenac. [doi]
• A Rigorous Link between Deep Ensembles and (Variational) Bayesian MethodsVeit David Wild, Sahra Ghalebikesabi, Dino Sejdinovic, Jeremias Knoblauch. [doi]
• Versatile Energy-Based Probabilistic Models for High Energy PhysicsTaoli Cheng, Aaron C. Courville. [doi]
• Policy Space Diversity for Non-Transitive GamesJian Yao, Weiming Liu, Haobo Fu, Yaodong Yang 0001, Stephen McAleer, Qiang Fu, Wei Yang 0032. [doi]
• Online Ad Procurement in Non-stationary Autobidding WorldsJason Cheuk Nam Liang, Haihao Lu, Baoyu Zhou. [doi]
• Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck AttributionYing Wang, Tim G. J. Rudner, Andrew Gordon Wilson. [doi]
• DropCompute: simple and more robust distributed synchronous training via compute variance reductionNiv Giladi, Shahar Gottlieb, Moran Shkolnik, Asaf Karnieli, Ron Banner, Elad Hoffer, Kfir Y. Levy, Daniel Soudry. [doi]
• Regularized Behavior Cloning for Blocking the Leakage of Past Action InformationSeokin Seo, HyeongJoo Hwang, Hongseok Yang, Kee-Eung Kim. [doi]
• Combining Behaviors with the Successor Features KeyboardWilka Carvalho, Andre Saraiva 0001, Angelos Filos, Andrew K. Lampinen, Loic Matthey, Richard L. Lewis, Honglak Lee, Satinder Singh 0001, Danilo Jimenez Rezende, Daniel Zoran. [doi]
• Estimating and Controlling for Equalized Odds via Sensitive Attribute PredictorsBeepul Bharti, Paul H. Yi, Jeremias Sulam. [doi]
• SheetCopilot: Bringing Software Productivity to the Next Level through Large Language ModelsHongxin Li, Jingran Su, YunTao Chen, Qing Li, Zhao-Xiang Zhang. [doi]
• Revisiting Adversarial Robustness Distillation from the Perspective of Robust FairnessXinli Yue, Ningping Mou, Qian Wang, Lingchen Zhao. [doi]
• Neural Processes with StabilityHuafeng Liu 0001, Liping Jing, Jian Yu. [doi]
• FIRAL: An Active Learning Algorithm for Multinomial Logistic RegressionYouguang Chen, George Biros. [doi]
• SUBP: Soft Uniform Block Pruning for 1×N Sparse CNNs Multithreading AccelerationJingyang Xiang, Siqi Li, Jun Chen, Guang Dai, Shipeng Bai, Yukai Ma, Yong Liu. [doi]
• RVD: A Handheld Device-Based Fundus Video Dataset for Retinal Vessel SegmentationMd. Wahiduzzaman Khan, Hongwei Sheng, Hu Zhang, Heming Du, Sen Wang, Minas Theodore Coroneo, Farshid Hajati, Sahar Shariflou, Michael Kalloniatis, Jack Phu, Ashish Agar, Zi Huang, S. Mojtaba Golzan, Xin Yu. [doi]
• Simplicity Bias in 1-Hidden Layer Neural NetworksDepen Morwani, Jatin Batra, Prateek Jain 0002, Praneeth Netrapalli. [doi]
• Learning Motion Refinement for Unsupervised Face AnimationJiale Tao, Shuhang Gu, Wen Li 0001, Lixin Duan. [doi]
• H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object DetectionYi Yu, Xue Yang, Qingyun Li, Yue Zhou 0005, Feipeng Da, Junchi Yan. [doi]
• Towards A Richer 2D Understanding of Hands at ScaleTianyi Cheng, Dandan Shan, Ayda Hassen, Richard E. L. Higgins, David Fouhey. [doi]
• C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of ConfounderXiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang, Furong Huang. [doi]
• Uncovering Meanings of Embeddings via Partial OrthogonalityYibo Jiang, Bryon Aragam, Victor Veitch. [doi]
• A Guide Through the Zoo of Biased SGDYury Demidovich, Grigory Malinovsky, Igor Sokolov 0001, Peter Richtárik. [doi]
• PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control TasksIan Char, Jeff Schneider. [doi]
• Doubly-Robust Self-TrainingBanghua Zhu, Mingyu Ding, Philip L. Jacobson, Ming Wu, Wei Zhan, Michael I. Jordan, Jiantao Jiao. [doi]
• Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working MemoryAnkur Sikarwar, Mengmi Zhang. [doi]
• Bilevel Coreset Selection in Continual Learning: A New Formulation and AlgorithmJie Hao, Kaiyi Ji, Mingrui Liu. [doi]
• Efficient Adversarial Attacks on Online Multi-agent Reinforcement LearningGuanlin Liu, Lifeng Lai. [doi]
• Feature Likelihood Score: Evaluating the Generalization of Generative Models Using SamplesMarco Jiralerspong, Avishek Joey Bose, Ian Gemp, Chongli Qin, Yoram Bachrach, Gauthier Gidel. [doi]
• Successor-Predecessor Intrinsic ExplorationChangmin Yu, Neil Burgess, Maneesh Sahani, Samuel J. Gershman. [doi]
• Graph of Circuits with GNN for Exploring the Optimal Design SpaceAditya Shahane, Saripilli Swapna Manjiri, Ankesh Jain, Sandeep Kumar. [doi]
• Does Visual Pretraining Help End-to-End Reasoning?Chen Sun 0002, Calvin Luo, Xingyi Zhou, Anurag Arnab, Cordelia Schmid. [doi]
• BayesTune: Bayesian Sparse Deep Model Fine-tuningMinyoung Kim, Timothy M. Hospedales. [doi]
• When Does Confidence-Based Cascade Deferral Suffice?Wittawat Jitkrittum, Neha Gupta, Aditya Krishna Menon, Harikrishna Narasimhan, Ankit Singh Rawat, Sanjiv Kumar. [doi]
• Distribution Learnability and RobustnessShai Ben-David, Alex Bie, Gautam Kamath 0001, Tosca Lechner. [doi]
• Group Fairness in Peer ReviewHaris Aziz 0001, Evi Micha, Nisarg Shah 0001. [doi]
• DAW: Exploring the Better Weighting Function for Semi-supervised Semantic SegmentationRui Sun, Huayu Mai, Tianzhu Zhang, Feng Wu. [doi]
• Beyond Normal: On the Evaluation of Mutual Information EstimatorsPawel Czyz, Frederic Grabowski, Julia E. Vogt, Niko Beerenwinkel, Alexander Marx. [doi]
• Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential ReconstructionChih-Yu Lai, Fan-Keng Sun, Zhengqi Gao, Jeffrey H. Lang, Duane S. Boning. [doi]
• PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the MobilePeiyan Dong, Lei Lu, Chao Wu, Cheng Lyu, Geng Yuan, Hao Tang, Yanzhi Wang. [doi]
• Calibration by Distribution Matching: Trainable Kernel Calibration MetricsCharlie Marx, Sofian Zalouk, Stefano Ermon. [doi]
• Distribution-Free Statistical Dispersion Control for Societal ApplicationsZhun Deng, Thomas P. Zollo, Jake Snell, Toniann Pitassi, Richard S. Zemel. [doi]
• Disentanglement via Latent QuantizationKyle Hsu, William Dorrell, James C. R. Whittington, Jiajun Wu 0001, Chelsea Finn. [doi]
• Accelerated Zeroth-order Method for Non-Smooth Stochastic Convex Optimization Problem with Infinite VarianceNikita Kornilov, Ohad Shamir, Aleksandr V. Lobanov, Darina Dvinskikh, Alexander V. Gasnikov, Innokentiy Shibaev, Eduard Gorbunov, Samuel Horváth. [doi]
• CL-NeRF: Continual Learning of Neural Radiance Fields for Evolving Scene RepresentationXiuzhe Wu, Peng Dai, Weipeng Deng, Handi Chen, Yang Wu, Yan-Pei Cao, Ying Shan, Xiaojuan Qi. [doi]
• Estimating Causal Effects Identifiable from a Combination of Observations and ExperimentsYonghan Jung, Ivan Diaz, Jin Tian 0001, Elias Bareinboim. [doi]
• Progressive Ensemble Distillation: Building Ensembles for Efficient InferenceDon Kurian Dennis, Abhishek Shetty, Anish Prasad Sevekari, Kazuhito Koishida, Virginia Smith. [doi]
• Construction of Hierarchical Neural Architecture Search Spaces based on Context-free GrammarsSimon Schrodi, Danny Stoll, Binxin Ru, Rhea Sukthanker, Thomas Brox, Frank Hutter. [doi]
• Worst-case Performance of Popular Approximate Nearest Neighbor Search Implementations: Guarantees and LimitationsPiotr Indyk, Haike Xu. [doi]
• MADLAD-400: A Multilingual And Document-Level Large Audited DatasetSneha Kudugunta, Isaac Caswell, Biao Zhang 0006, Xavier Garcia, Derrick Xin, Aditya Kusupati, Romi Stella, Ankur Bapna, Orhan Firat. [doi]
• In Defense of Softmax Parametrization for Calibrated and Consistent Learning to DeferYuzhou Cao, Hussein Mozannar, Lei Feng 0006, Hongxin Wei, Bo An 0001. [doi]
• Causes and Effects of Unanticipated Numerical Deviations in Neural Network Inference FrameworksAlexander Schlögl, Nora Hofer, Rainer Böhme. [doi]
• Prioritizing Samples in Reinforcement Learning with Reducible LossShivakanth Sujit, Somjit Nath, Pedro H. M. Braga, Samira Ebrahimi Kahou. [doi]
• Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual systemSuhas Shrinivasan, Konstantin-Klemens Lurz, Kelli Restivo, George H. Denfield, Andreas S. Tolias, Edgar Y. Walker, Fabian H. Sinz. [doi]
• Hypervolume Maximization: A Geometric View of Pareto Set LearningXiaoyuan Zhang, Xi Lin 0001, Bo Xue, Yifan Chen, Qingfu Zhang 0001. [doi]
• CP-SLAM: Collaborative Neural Point-based SLAM SystemJiarui Hu 0004, Mao Mao, Hujun Bao, Guofeng Zhang 0001, Zhaopeng Cui. [doi]
• Fast Bellman Updates for Wasserstein Distributionally Robust MDPsZhuodong Yu, Ling Dai, Shaohang Xu, Siyang Gao, Chin Pang Ho. [doi]
• Mind2Web: Towards a Generalist Agent for the WebXiang Deng, Yu Gu, Boyuan Zheng, Shijie Chen, Samual Stevens, Boshi Wang, Huan Sun, Yu Su. [doi]
• How hard are computer vision datasets? Calibrating dataset difficulty to viewing timeDavid Mayo, Jesse Cummings, Xinyu Lin, Dan Gutfreund, Boris Katz, Andrei Barbu. [doi]
• On the Convergence of No-Regret Learning Dynamics in Time-Varying GamesIoannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm. [doi]
• Fair Adaptive ExperimentsWaverly Wei, Xinwei Ma, Jingshen Wang. [doi]
• Stein Π-Importance SamplingCongye Wang, Ye Chen, Heishiro Kanagawa, Chris J. Oates. [doi]
• Feature Learning for Interpretable, Performant Decision TreesJack H. Good, Torin Kovach, Kyle Miller 0001, Artur Dubrawski. [doi]
• American Stories: A Large-Scale Structured Text Dataset of Historical U.S. NewspapersMelissa Dell, Jacob Carlson, Tom Bryan, Emily Silcock, Abhishek Arora 0003, Zejiang Shen, Luca D'Amico-Wong, Quan Le, Pablo Querubin, Leander Heldring. [doi]
• Hyper-Skin: A Hyperspectral Dataset for Reconstructing Facial Skin-Spectra from RGB ImagesPai Chet Ng, Zhixiang Chi, Yannick Verdie, Juwei Lu, Konstantinos N. Plataniotis. [doi]
• Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare InterventionsÇaglar Hizli, St John, Anne Juuti, Tuure Saarinen, Kirsi Pietiläinen, Pekka Marttinen. [doi]
• Importance-aware Co-teaching for Offline Model-based OptimizationYe Yuan, Can Chen, Zixuan Liu, Willie Neiswanger, Xue (Steve) Liu. [doi]
• One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel PruningShaochen (Henry) Zhong, Zaichuan You, Jiamu Zhang, Sebastian Zhao, Zachary LeClaire, Zirui Liu, Daochen Zha, Vipin Chaudhary, Shuai Xu, Xia Hu. [doi]
• AbdomenAtlas-8K: Annotating 8, 000 CT Volumes for Multi-Organ Segmentation in Three WeeksChongyu Qu, Tiezheng Zhang, Hualin Qiao, Jie Liu 0044, Yucheng Tang, Alan L. Yuille, Zongwei Zhou. [doi]
• Optimistic Active Exploration of Dynamical SystemsBhavya Sukhija, Lenart Treven, Cansu Sancaktar, Sebastian Blaes, Stelian Coros, Andreas Krause 0001. [doi]
• Combinatorial Group Testing with Selfish AgentsGeorgios Chionas, Dariusz R. Kowalski, Piotr Krysta. [doi]
• Chasing Fairness Under Distribution Shift: A Model Weight Perturbation ApproachZhimeng Stephen Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Rui Chen 0012, Na Zou, Xia Hu. [doi]
• 2Hub: Unlocking the Potential of Machine Learning for Materials DiscoveryYuanqi Du, Yingheng Wang, Yining Huang, Jianan Canal Li, Yanqiao Zhu 0001, Tian Xie, Chenru Duan, John M. Gregoire, Carla Pedro Gomes. [doi]
• Scaling Laws for Hyperparameter OptimizationArlind Kadra, Maciej Janowski, Martin Wistuba, Josif Grabocka. [doi]
• Sampling from Structured Log-Concave Distributions via a Soft-Threshold Dikin WalkOren Mangoubi, Nisheeth K. Vishnoi. [doi]
• Optimal Treatment Regimes for Proximal Causal LearningTao Shen, Yifan Cui. [doi]
• DreamSparse: Escaping from Plato's Cave with 2D Diffusion Model Given Sparse ViewsPaul Yoo, Jiaxian Guo, Yutaka Matsuo, Shixiang Shane Gu. [doi]
• SatLM: Satisfiability-Aided Language Models Using Declarative PromptingXi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett. [doi]
• MMD-Fuse: Learning and Combining Kernels for Two-Sample Testing Without Data SplittingFelix Biggs, Antonin Schrab, Arthur Gretton. [doi]
• Quantizable Transformers: Removing Outliers by Helping Attention Heads Do NothingYelysei Bondarenko, Markus Nagel, Tijmen Blankevoort. [doi]
• Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification BenchmarkLukasz Augustyniak, Szymon Wozniak, Marcin Gruza, Piotr Gramacki, Krzysztof Rajda, Mikolaj Morzy, Tomasz Kajdanowicz. [doi]
• Characteristic CircuitsZhongjie Yu 0001, Martin Trapp 0001, Kristian Kersting. [doi]
• Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy ContinuationShutong Ding, Tianyu Cui, Jingya Wang, Ye Shi 0001. [doi]
• GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution DetectionJinggang Chen, Junjie Li, Xiaoyang Qu, Jianzong Wang, Jiguang Wan, Jing Xiao. [doi]
• Evaluating Cognitive Maps and Planning in Large Language Models with CogEvalIda Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Nebojsa Jojic, Hamid Palangi, Robert Osazuwa Ness, Jonathan Larson. [doi]
• Multi-Player Zero-Sum Markov Games with Networked Separable InteractionsChanwoo Park, Kaiqing Zhang, Asuman E. Ozdaglar. [doi]
• DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion ModelsTsun-Hsuan Johnson Wang, Juntian Zheng, Pingchuan Ma 0002, Yilun Du, Byungchul Kim, Andrew Spielberg, Josh B. Tenenbaum, Chuang Gan, Daniela Rus. [doi]
• ViSt3D: Video Stylization with 3D CNNAyush Pande, Gaurav Sharma. [doi]
• Sparse Modular Activation for Efficient Sequence ModelingLiliang Ren, Yang Liu, Shuohang Wang, Yichong Xu, Chenguang Zhu, ChengXiang Zhai. [doi]
• TART: A plug-and-play Transformer module for task-agnostic reasoningKush Bhatia, Avanika Narayan, Christopher De Sa, Christopher Ré. [doi]
• SimMTM: A Simple Pre-Training Framework for Masked Time-Series ModelingJiaxiang Dong, Haixu Wu, Haoran Zhang, Li Zhang, Jianmin Wang, Mingsheng Long. [doi]
• Optimal Excess Risk Bounds for Empirical Risk Minimization on p-Norm Linear RegressionAyoub El Hanchi, Murat A. Erdogdu. [doi]
• Quantifying & Modeling Multimodal Interactions: An Information Decomposition FrameworkPaul Pu Liang, Yun Cheng, Xiang Fan, Chun Kai Ling, Suzanne Nie, Richard J. Chen, Zihao Deng, Nicholas B. Allen, Randy Auerbach, Faisal Mahmood, Russ Salakhutdinov, Louis-Philippe Morency. [doi]
• Fast Model DeBias with Machine UnlearningRuizhe Chen, Jianfei Yang, Huimin Xiong, Jianhong Bai, Tianxiang Hu, Jin Hao, Yang Feng, Joey Tianyi Zhou, Jian Wu, Zuozhu Liu. [doi]
• GADBench: Revisiting and Benchmarking Supervised Graph Anomaly DetectionJianheng Tang, Fengrui Hua, Ziqi Gao, Peilin Zhao, Jia Li. [doi]
• Counting Distinct Elements Under Person-Level Differential PrivacyThomas Steinke 0002, Alexander Knop. [doi]
• Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax OptimizationTaoli Zheng, Linglingzhi Zhu, Anthony Man-Cho So, Jose H. Blanchet, Jiajin Li. [doi]
• A Unified Model and Dimension for Interactive EstimationNataly Brukhim, Miro Dudík, Aldo Pacchiano, Robert E. Schapire. [doi]
• Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive ApproachRiccardo Poiani, Nicole Nobili, Alberto Maria Metelli, Marcello Restelli. [doi]
• Generalization bounds for neural ordinary differential equations and deep residual networksPierre Marion. [doi]
• Optimal and Fair Encouragement Policy Evaluation and LearningAngela Zhou. [doi]
• DoReMi: Optimizing Data Mixtures Speeds Up Language Model PretrainingSang Michael Xie, Hieu Pham 0001, Xuanyi Dong, Nan Du, Hanxiao Liu, Yifeng Lu, Percy Liang, Quoc V. Le, Tengyu Ma 0001, Adams Wei Yu. [doi]
• Learning Rate Free Bayesian Inference in Constrained DomainsLouis Sharrock, Lester Mackey, Christopher Nemeth. [doi]
• Understanding and Improving Ensemble Adversarial DefenseYian Deng, Tingting Mu. [doi]
• Soft-Unification in Deep Probabilistic LogicJaron Maene, Luc De Raedt. [doi]
• Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUsJacob Lindbäck, Zesen Wang, Mikael Johansson 0001. [doi]
• HyP-NeRF: Learning Improved NeRF Priors using a HyperNetworkBipasha Sen, Gaurav Singh, Aditya Agarwal, Rohith Agaram, K. Madhava Krishna, Srinath Sridhar 0002. [doi]
• DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion ModelsWeijia Wu, YuZhong Zhao, Hao Chen, Yuchao Gu, Rui Zhao, Yefei He, Hong Zhou, Mike Zheng Shou, Chunhua Shen. [doi]
• Doubly Constrained Fair ClusteringJohn P. Dickerson, Seyed A. Esmaeili, Jamie H. Morgenstern, Claire Jie Zhang. [doi]
• SANFlow: Semantic-Aware Normalizing Flow for Anomaly DetectionDaehyun Kim, Sungyong Baik, Tae Hyun Kim 0006. [doi]
• Understanding Multi-phase Optimization Dynamics and Rich Nonlinear Behaviors of ReLU NetworksMingze Wang, Chao Ma. [doi]
• SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-LearningJunhoo Lee, Jayeon Yoo, Nojun Kwak. [doi]
• Robust covariance estimation with missing values and cell-wise contaminationGrégoire Pacreau, Karim Lounici. [doi]
• A Combinatorial Algorithm for Approximating the Optimal Transport in the Parallel and MPC SettingsNathaniel Lahn, Sharath Raghvendra, Kaiyi Zhang 0004. [doi]
• Online PCA in Converging Self-consistent Field EquationsXihan Li 0001, Xiang Chen, Rasul Tutunov, Haitham Bou-Ammar, Lei Wang, Jun Wang. [doi]
• Incentives in Federated Learning: Equilibria, Dynamics, and Mechanisms for Welfare MaximizationAniket Murhekar, Zhuowen Yuan, Bhaskar Ray Chaudhury, Bo Li, Ruta Mehta. [doi]
• Schema-learning and rebinding as mechanisms of in-context learning and emergenceSivaramakrishnan Swaminathan, Antoine Dedieu, Rajkumar Vasudeva Raju, Murray Shanahan, Miguel Lázaro-Gredilla, Dileep George. [doi]
• A Unified Approach to Count-Based Weakly Supervised LearningVinay Shukla, Zhe Zeng, Kareem Ahmed, Guy Van den Broeck. [doi]
• Incomplete Multimodality-Diffused Emotion RecognitionYuanzhi Wang, Yong Li, Zhen Cui 0001. [doi]
• Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature EngineeringNoah Hollmann, Samuel Müller 0005, Frank Hutter. [doi]
• Bounded rationality in structured density estimationTianyuan Teng, Kevin Li, Hang Zhang 0006. [doi]
• Multitask Learning with No Regret: from Improved Confidence Bounds to Active LearningPier Giuseppe Sessa, Pierre Laforgue, Nicolò Cesa-Bianchi, Andreas Krause 0001. [doi]
• Pretraining task diversity and the emergence of non-Bayesian in-context learning for regressionAllan Raventós, Mansheej Paul, Feng Chen, Surya Ganguli. [doi]
• On the Gini-impurity Preservation For Privacy Random ForestsXinran Xie, Man-Jie Yuan, Xuetong Bai, Wei Gao, Zhi-Hua Zhou. [doi]
• Real-World Image Super-Resolution as Multi-Task LearningWenlong Zhang, Xiaohui Li, Guangyuan Shi, Xiangyu Chen, Yu Qiao, Xiaoyun Zhang, Xiao-Ming Wu 0003, Chao Dong. [doi]
• Learning from Active Human Involvement through Proxy Value PropagationZhenghao Mark Peng, Wenjie Mo, Chenda Duan, Quanyi Li, Bolei Zhou. [doi]
• Cross-Domain Policy Adaptation via Value-Guided Data FilteringKang Xu, Chenjia Bai, Xiaoteng Ma, Dong Wang, Bin Zhao, Zhen Wang, Xuelong Li 0001, Wei Li. [doi]
• ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and MetricsZhangyang Gao, Cheng Tan 0012, Yijie Zhang, Xingran Chen, Lirong Wu, Stan Z. Li. [doi]
• Aiming towards the minimizers: fast convergence of SGD for overparametrized problemsChaoyue Liu 0001, Dmitriy Drusvyatskiy, Misha Belkin, Damek Davis, Yi-An Ma. [doi]
• On Imitation in Mean-field GamesGiorgia Ramponi, Pavel Kolev, Olivier Pietquin, Niao He, Mathieu Laurière, Matthieu Geist. [doi]
• Mechanic: A Learning Rate TunerAshok Cutkosky, Aaron Defazio, Harsh Mehta. [doi]
• Graph Contrastive Learning with Stable and Scalable Spectral EncodingDeyu Bo, Yuan Fang 0001, Yang Liu, Chuan Shi. [doi]
• STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound EventsKazuki Shimada, Archontis Politis, Parthasaarathy Sudarsanam, Daniel Aleksander Krause 0001, Kengo Uchida, Sharath Adavanne, Aapo Hakala, Yuichiro Koyama, Naoya Takahashi, Shusuke Takahashi, Tuomas Virtanen, Yuki Mitsufuji. [doi]
• One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape OptimizationMinghua Liu, Chao Xu, Haian Jin, Linghao Chen, Mukund Varma T, Zexiang Xu, Hao Su. [doi]
• DrugCLIP: Contrasive Protein-Molecule Representation Learning for Virtual ScreeningBowen Gao, Bo Qiang, Haichuan Tan, Yinjun Jia, Minsi Ren, Minsi Lu, Jingjing Liu, Wei-Ying Ma, Yanyan Lan. [doi]
• GSLB: The Graph Structure Learning BenchmarkZhixun Li, Xin Sun, Yifan Luo, Yanqiao Zhu 0001, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu. [doi]
• Private Federated Frequency Estimation: Adapting to the Hardness of the InstanceJingfeng Wu, Wennan Zhu, Peter Kairouz, Vladimir Braverman. [doi]
• Estimating Generic 3D Room Structures from 2D AnnotationsDenys Rozumnyi, Stefan Popov, Kevis-Kokitsi Maninis, Matthias Nießner, Vittorio Ferrari. [doi]
• Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident AnalysisAbhinav Nippani, Dongyue Li, Haotian Ju, Haris K. Koutsopoulos, Hongyang R. Zhang. [doi]
• YouTube-ASL: A Large-Scale, Open-Domain American Sign Language-English Parallel CorpusDavid Uthus, Garrett Tanzer, Manfred Georg. [doi]
• SQ Lower Bounds for Non-Gaussian Component Analysis with Weaker AssumptionsIlias Diakonikolas, Daniel Kane, Lisheng Ren, Yuxin Sun. [doi]
• HotBEV: Hardware-oriented Transformer-based Multi-View 3D Detector for BEV PerceptionPeiyan Dong, Zhenglun Kong, Xin Meng, Pinrui Yu, Yifan Gong 0004, Geng Yuan, Hao Tang, Yanzhi Wang. [doi]
• Riemannian Projection-free Online LearningZihao Hu, Guanghui Wang, Jacob D. Abernethy. [doi]
• Transition-constant Normalization for Image EnhancementJie Huang, Man Zhou, Jinghao Zhang, Gang Yang, Mingde Yao, Chongyi Li, Zhiwei Xiong, Feng Zhao. [doi]
• Towards Combinatorial Generalization for Catalysts: A Kohn-Sham Charge-Density ApproachPhillip Pope, David Jacobs. [doi]
• OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD MappingHuijie Wang, Tianyu Li, Yang Li, Li Chen, Chonghao Sima, Zhenbo Liu, Bangjun Wang, Peijin Jia, YuTing Wang, Shengyin Jiang, Feng Wen, Hang Xu, Ping Luo, Junchi Yan, Wei Zhang, Hongyang Li. [doi]
• Learning Repeatable Speech Embeddings Using An Intra-class Correlation RegularizerJianwei Zhang, Suren Jayasuriya, Visar Berisha. [doi]
• MoVie: Visual Model-Based Policy Adaptation for View GeneralizationSizhe Yang, Yanjie Ze, Huazhe Xu. [doi]
• Efficient Meta Neural Heuristic for Multi-Objective Combinatorial OptimizationJinbiao Chen, Jiahai Wang, Zizhen Zhang, Zhiguang Cao, Te Ye, Siyuan Chen 0005. [doi]
• Aligning Gradient and Hessian for Neural Signed Distance FunctionRuian Wang, Zixiong Wang, Yunxiao Zhang, Shuang-Min Chen, Shiqing Xin, Changhe Tu, Wenping Wang. [doi]
• Q-DM: An Efficient Low-bit Quantized Diffusion ModelYanjing Li, Sheng Xu, Xianbin Cao 0001, Xiao Sun, Baochang Zhang 0001. [doi]
• OFCOURSE: A Multi-Agent Reinforcement Learning Environment for Order FulfillmentYiheng Zhu, Yang Zhan, Xuankun Huang, Yuwei Chen, Yujie Chen, Jiangwen Wei, Wei Feng, Yinzhi Zhou, Haoyuan Hu, Jieping Ye. [doi]
• Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement LearningJianzhun Shao, Yun Qu, Chen Chen, Hongchang Zhang, Xiangyang Ji. [doi]
• 3D-Aware Visual Question Answering about Parts, Poses and OcclusionsXingrui Wang, Wufei Ma, Zhuowan Li, Adam Kortylewski, Alan L. Yuille. [doi]
• The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High DimensionsJonathan Schmidt, Philipp Hennig, Jörg Nick, Filip Tronarp. [doi]
• Semantic Image Synthesis with Unconditional GeneratorJungwoo Chae, Hyunin Cho, Sooyeon Go, Kyungmook Choi, Youngjung Uh. [doi]
• Post-processing Private Synthetic Data for Improving Utility on Selected MeasuresHao Wang, Shivchander Sudalairaj, John Henning, Kristjan H. Greenewald, Akash Srivastava. [doi]
• Kissing to Find a Match: Efficient Low-Rank Permutation RepresentationHannah Dröge, Zorah Lähner, Yuval Bahat, Onofre Martorell Nadal, Felix Heide, Michael Moeller 0001. [doi]
• "Why Not Looking backward?" A Robust Two-Step Method to Automatically Terminate Bayesian OptimizationShuang Li, Ke Li, Wei Li. [doi]
• Improving Adversarial Robustness via Information Bottleneck DistillationHuafeng Kuang, Hong Liu 0009, Yongjian Wu 0001, Shin'ichi Satoh 0001, Rongrong Ji. [doi]
• Recurrent Hypernetworks are Surprisingly Strong in Meta-RLJacob Beck, Risto Vuorio, Zheng Xiong, Shimon Whiteson. [doi]
• Evaluating Neuron Interpretation Methods of NLP ModelsYimin Fan, Fahim Dalvi, Nadir Durrani, Hassan Sajjad 0001. [doi]
• Accelerated On-Device Forward Neural Network Training with Module-Wise Descending AsynchronismXiaohan Zhao, Hualin Zhang, Zhouyuan Huo, Bin Gu 0001. [doi]
• Bayesian target optimisation for high-precision holographic optogeneticsMarcus Triplett, Marta Gajowa, Hillel Adesnik, Liam Paninski. [doi]
• CoLLAT: On Adding Fine-grained Audio Understanding to Language Models using Token-Level Locked-Language TuningDadallage A. R. Silva, Spencer Whitehead, Christopher T. Lengerich, Hugh Leather. [doi]
• Dynamic Context Pruning for Efficient and Interpretable Autoregressive TransformersSotiris Anagnostidis, Dario Pavllo, Luca Biggio, Lorenzo Noci, Aurélien Lucchi, Thomas Hofmann. [doi]
• Approximately Equivariant Graph NetworksNingyuan Huang, Ron Levie, Soledad Villar. [doi]
• Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral EmbeddingGeorge Ma, Yifei Wang, Yisen Wang 0001. [doi]
• Jailbroken: How Does LLM Safety Training Fail?Alexander Wei 0001, Nika Haghtalab, Jacob Steinhardt. [doi]
• Neural Algorithmic Reasoning Without Intermediate SupervisionGleb Rodionov, Liudmila Prokhorenkova. [doi]
• Decentralized Matrix Sensing: Statistical Guarantees and Fast ConvergenceMarie Maros, Gesualdo Scutari. [doi]
• AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle DesignsAdam B. Cobb, Anirban Roy, Daniel Elenius, F. Michael Heim, Brian Swenson, Sydney Whittington, James D. Walker, Theodore Bapty, Joseph Hite, Karthik Ramani, Christopher McComb, Susmit Jha. [doi]
• Learning Causal Models under Independent ChangesSarah Mameche, David Kaltenpoth, Jilles Vreeken. [doi]
• Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label LearningChengliang Liu 0003, Jie Wen 0001, Yabo Liu, Chao Huang, Zhihao Wu 0002, Xiaoling Luo, Yong Xu. [doi]
• One-step differentiation of iterative algorithmsJérôme Bolte, Edouard Pauwels, Samuel Vaiter. [doi]
• Debiased and Denoised Entity Recognition from Distant SupervisionHaobo Wang, Yiwen Dong 0003, Ruixuan Xiao, Fei Huang, Gang Chen, Junbo Zhao. [doi]
• Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New BenchmarkingJuanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma 0001, Neil Shah, Jiliang Tang, Dawei Yin. [doi]
• Uncertainty Quantification via Neural Posterior Principal ComponentsElias Nehme, Omer Yair, Tomer Michaeli. [doi]
• On the Role of Randomization in Adversarially Robust ClassificationLucas Gnecco Heredia, Muni Sreenivas Pydi, Laurent Meunier, Benjamin Négrevergne, Yann Chevaleyre. [doi]
• Particle-based Variational Inference with Generalized Wasserstein Gradient FlowZiheng Cheng, Shiyue Zhang, Longlin Yu, Cheng Zhang. [doi]
• Augmenting Language Models with Long-Term MemoryWeizhi Wang, Li Dong 0004, Hao Cheng, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei. [doi]
• GALOPA: Graph Transport Learning with Optimal Plan AlignmentYejiang Wang, Yuhai Zhao, Daniel Zhengkui Wang, Ling Li. [doi]
• Learning Rule-Induced Subgraph Representations for Inductive Relation PredictionTianyu Liu, Qitan Lv, Jie Wang, Shuling Yang, Hanzhu Chen. [doi]
• On the impact of activation and normalization in obtaining isometric embeddings at initializationAmir Joudaki, Hadi Daneshmand, Francis R. Bach. [doi]
• VidChapters-7M: Video Chapters at ScaleAntoine Yang, Arsha Nagrani, Ivan Laptev, Josef Sivic, Cordelia Schmid. [doi]
• Auxiliary Losses for Learning Generalizable Concept-based ModelsIvaxi Sheth, Samira Ebrahimi Kahou. [doi]
• Tailoring Self-Attention for Graph via Rooted SubtreesSiyuan Huang 0003, Yunchong Song, Jiayue Zhou, Zhouhan Lin. [doi]
• A Dynamical System View of Langevin-Based Non-Convex SamplingMohammad Reza Karimi Jaghargh, Ya-Ping Hsieh, Andreas Krause 0001. [doi]
• Information-guided Planning: An Online Approach for Partially Observable ProblemsMatheus Aparecido do Carmo Alves, Amokh Varma, Yehia Elkhatib, Leandro Soriano Marcolino. [doi]
• State Sequences Prediction via Fourier Transform for Representation LearningMingxuan Ye, Yufei Kuang, Jie Wang, Yang Rui, Wengang Zhou, Houqiang Li, Feng Wu. [doi]
• Adapting to Continuous Covariate Shift via Online Density Ratio EstimationYu-Jie Zhang, Zhen-yu Zhang, Peng Zhao, Masashi Sugiyama. [doi]
• Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained ModelsQiong Wu, Wei Yu 0004, Yiyi Zhou, Shubin Huang, Xiaoshuai Sun, Rongrong Ji. [doi]
• Incentivizing Honesty among Competitors in Collaborative Learning and OptimizationFlorian E. Dorner, Nikola Konstantinov, Georgi Pashaliev, Martin T. Vechev. [doi]
• A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant RepresentationJunfeng Zuo, Xiao Liu, Ying Nian Wu, Si Wu 0001, Wenhao Zhang. [doi]
• Gaussian Partial Information Decomposition: Bias Correction and Application to High-dimensional DataPraveen Venkatesh, Corbett Bennett, Sam Gale, Tamina K. Ramirez, Greggory Heller, Severine Durand, Shawn R. Olsen, Stefan Mihalas. [doi]
• ZipLM: Inference-Aware Structured Pruning of Language ModelsEldar Kurtic, Elias Frantar, Dan Alistarh. [doi]
• PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language NavigationJialu Li, Mohit Bansal. [doi]
• Self-Correcting Bayesian Optimization through Bayesian Active LearningCarl Hvarfner, Erik Hellsten, Frank Hutter, Luigi Nardi. [doi]
• Unified 3D Segmenter As Prototypical ClassifiersZheyun Qin, Cheng Han, Qifan Wang, Xiushan Nie, Yilong Yin, Xiankai Lu. [doi]
• Domain Adaptive Imitation Learning with Visual ObservationSungho Choi, Seungyul Han, Woojun Kim, Jongseong Chae, Whiyoung Jung, Youngchul Sung. [doi]
• Two Heads are Better Than One: A Simple Exploration Framework for Efficient Multi-Agent Reinforcement LearningJiahui Li 0003, Kun Kuang, Baoxiang Wang 0001, Xingchen Li, Fei Wu, Jun Xiao, Long Chen 0016. [doi]
• OceanBench: The Sea Surface Height EditionJ. Emmanuel Johnson, Quentin Febvre, Anastasiia Gorbunova, Sammy Metref, Maxime Ballarotta, Julien Le Sommer, Ronan Fablet. [doi]
• Evaluating Open-QA EvaluationCunxiang Wang, Sirui Cheng, Qipeng Guo, Yuanhao Yue, Bowen Ding, Zhikun Xu, Yidong Wang, Xiangkun Hu, Zheng Zhang, Yue Zhang. [doi]
• Optimal Transport Model Distributional RobustnessVan-Anh Nguyen, Trung Le, Anh Tuan Bui, Thanh-Toan Do, Dinh Q. Phung. [doi]
• WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl DataMaurice Weber, Carlo Siebenschuh, Rory Butler, Anton Alexandrov, Valdemar Thanner, Georgios Tsolakis, Haris Jabbar, Ian T. Foster, Bo Li, Rick Stevens, Ce Zhang 0001. [doi]
• Adversarial Examples Are Not Real FeaturesAng Li, Yifei Wang, Yiwen Guo, Yisen Wang 0001. [doi]
• Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex OptimizationMassil Hihat, Stéphane Gaïffas, Guillaume Garrigos, Simon Bussy. [doi]
• Towards Higher Ranks via Adversarial Weight PruningYuchuan Tian, Hanting Chen, Tianyu Guo 0001, Chao Xu 0006, Yunhe Wang 0001. [doi]
• Expressive probabilistic sampling in recurrent neural networksShirui Chen, Linxing Jiang, Rajesh P. N. Rao, Eric Shea-Brown. [doi]
• Advancing Bayesian Optimization via Learning Correlated Latent SpaceSeunghun Lee, Jaewon Chu, Sihyeon Kim, Juyeon Ko, Hyunwoo J. Kim. [doi]
• Norm-guided latent space exploration for text-to-image generationDvir Samuel, Rami Ben-Ari, Nir Darshan, Haggai Maron, Gal Chechik. [doi]
• First Order Methods with Markovian Noise: from Acceleration to Variational InequalitiesAleksandr Beznosikov, Sergey Samsonov, Marina Sheshukova, Alexander V. Gasnikov, Alexey Naumov, Eric Moulines. [doi]
• Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event ParserYung-Hsuan Lai, Yen-Chun Chen 0001, Frank Wang. [doi]
• On Certified Generalization in Structured PredictionBastian Boll, Christoph Schnörr. [doi]
• Practical Differentially Private Hyperparameter Tuning with SubsamplingAntti Koskela, Tejas D. Kulkarni. [doi]
• Recasting Continual Learning as Sequence ModelingSoochan Lee, Jaehyeon Son, Gunhee Kim. [doi]
• Context-guided Embedding Adaptation for Effective Topic Modeling in Low-Resource RegimesYishi Xu, Jianqiao Sun, Yudi Su, Xinyang Liu, Zhibin Duan, Bo Chen, Mingyuan Zhou. [doi]
• Thought Cloning: Learning to Think while Acting by Imitating Human ThinkingShengran Hu, Jeff Clune. [doi]
• Towards Evaluating Transfer-based Attacks Systematically, Practically, and FairlyQizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen. [doi]
• Neural Image Compression: Generalization, Robustness, and Spectral BiasesKelsey Lieberman, James Diffenderfer, Charles Godfrey, Bhavya Kailkhura. [doi]
• PDP: Parameter-free Differentiable Pruning is All You NeedMinsik Cho, Saurabh Adya, Devang Naik. [doi]
• Language-driven Scene Synthesis using Multi-conditional Diffusion ModelVuong Dinh An, Minh Nhat Vu, Toan Nguyen, Baoru Huang, Dzung Nguyen, Thieu Vo, Anh Nguyen. [doi]
• Module-wise Training of Neural Networks via the Minimizing Movement SchemeSkander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari. [doi]
• Robust Bayesian SatisficingArtun Saday, Yasar Cahit Yildirim, Cem Tekin. [doi]
• Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label LearningMing-Kun Xie, Jiahao Xiao, Hao-Zhe Liu, Gang Niu 0001, Masashi Sugiyama, Sheng-Jun Huang. [doi]
• Egocentric Planning for Scalable Embodied Task AchievementXiaotian Liu, Héctor Palacios, Christian Muise. [doi]
• Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential EquationsAnudhyan Boral, Zhong Yi Wan, Leonardo Zepeda-Núñez, James Lottes, Qing Wang 0032, Yi-Fan Chen, John Anderson, Fei Sha. [doi]
• Effective Human-AI Teams via Learned Natural Language Rules and OnboardingHussein Mozannar, Jimin J. Lee, Dennis Wei, Prasanna Sattigeri, Subhro Das, David A. Sontag. [doi]
• PromptIR: Prompting for All-in-One Image RestorationVaishnav Potlapalli, Syed Waqas Zamir, Salman H. Khan 0001, Fahad Shahbaz Khan. [doi]
• Batchnorm Allows Unsupervised Radial AttacksAmur Ghose, Apurv Gupta, Yaoliang Yu, Pascal Poupart. [doi]
• On the Complexity of Differentially Private Best-Arm Identification with Fixed ConfidenceAchraf Azize, Marc Jourdan, Aymen Al Marjani, Debabrota Basu. [doi]
• Energy-based learning algorithms for analog computing: a comparative studyBenjamin Scellier, Maxence Ernoult, Jack D. Kendall, Suhas Kumar. [doi]
• Posterior Sampling for Competitive RL: Function Approximation and Partial ObservationShuang Qiu, Ziyu Dai, Han Zhong 0001, Zhaoran Wang 0001, Zhuoran Yang, Tong Zhang. [doi]
• Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularizationClément Bénard, Brian Staber, Sébastien Da Veiga. [doi]
• Generating Images with Multimodal Language ModelsJing Yu Koh, Daniel Fried, Russ Salakhutdinov. [doi]
• Weitzman's Rule for Pandora's Box with CorrelationsEvangelia Gergatsouli, Christos Tzamos. [doi]
• Optimal Preconditioning and Fisher Adaptive Langevin SamplingMichalis K. Titsias. [doi]
• State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User UnderstandingDevleena Das, Sonia Chernova, Been Kim. [doi]
• Topological Obstructions and How to Avoid ThemBabak Esmaeili 0001, Robin Walters, Heiko Zimmermann, Jan-Willem van de Meent. [doi]
• ContinuAR: Continuous Autoregression For Infinite-Fidelity FusionWei Xing, Yuxin Wang, Zheng Xing. [doi]
• Thrust: Adaptively Propels Large Language Models with External KnowledgeXinran Zhao, Hongming Zhang, Xiaoman Pan, Wenlin Yao, Dong Yu 0001, Jianshu Chen. [doi]
• Trust Region-Based Safe Distributional Reinforcement Learning for Multiple ConstraintsDohyeong Kim, Kyungjae Lee 0001, Songhwai Oh. [doi]
• AirDelhi: Fine-Grained Spatio-Temporal Particulate Matter Dataset From Delhi For ML based ModelingSachin Chauhan, Zeel Bharatkumar Patel, Sayan Ranu, Rijurekha Sen, Nipun Batra 0001. [doi]
• Finite-Time Analysis of Single-Timescale Actor-CriticXuyang Chen, Lin Zhao 0009. [doi]
• Episodic Multi-Task Learning with Heterogeneous Neural ProcessesJiayi Shen, Xiantong Zhen, Qi Wang 0009, Marcel Worring. [doi]
• DataPerf: Benchmarks for Data-Centric AI DevelopmentMark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas W. Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Y. Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi. [doi]
• Gacs-Korner Common Information Variational AutoencoderMichael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao. [doi]
• Efficient Equivariant Transfer Learning from Pretrained ModelsSourya Basu, Pulkit Katdare, Prasanna Sattigeri, Vijil Chenthamarakshan, Katherine Driggs-Campbell, Payel Das, Lav R. Varshney. [doi]
• Unlimiformer: Long-Range Transformers with Unlimited Length InputAmanda Bertsch, Uri Alon 0002, Graham Neubig, Matthew R. Gormley. [doi]
• Greatness in Simplicity: Unified Self-Cycle Consistency for Parser-Free Virtual Try-OnChenghu Du, Junyin Wang, Shuqing Liu, Shengwu Xiong. [doi]
• The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent ApplicationsMirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, Stuart M. Shieber. [doi]
• Learning Energy-based Model via Dual-MCMC TeachingJiali Cui, Tian Han 0001. [doi]
• On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism FailsYi Feng, Hu Fu 0001, Qun Hu, Ping Li, Ioannis Panageas, Bo Peng, Xiao Wang. [doi]
• Bayesian Metric Learning for Uncertainty Quantification in Image RetrievalFrederik Warburg, Marco Miani, Silas Brack, Søren Hauberg. [doi]
• MVDoppler: Unleashing the Power of Multi-View Doppler for MicroMotion-based Gait ClassificationSoheil Hor, Shubo Yang, Jaeho Choi, Amin Arbabian. [doi]
• Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive ModelsJulien Siems, Konstantin Ditschuneit, Winfried Ripken, Alma Lindborg, Maximilian Schambach, Johannes S. Otterbach, Martin Genzel. [doi]
• A Novel Framework for Policy Mirror Descent with General Parameterization and Linear ConvergenceCarlo Alfano, Rui Yuan, Patrick Rebeschini. [doi]
• Provable Guarantees for Neural Networks via Gradient Feature LearningZhenmei Shi, Junyi Wei, Yingyu Liang. [doi]
• Symbol-LLM: Leverage Language Models for Symbolic System in Visual Human Activity ReasoningXiaoqian Wu, Yonglu Li 0001, Jianhua Sun 0003, Cewu Lu. [doi]
• SPA: A Graph Spectral Alignment Perspective for Domain AdaptationZhiqing Xiao, Haobo Wang, Ying Jin, Lei Feng, Gang Chen, Fei Huang, Junbo Zhao. [doi]
• FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised LearningZhuo Huang, Li Shen 0008, Jun Yu, Bo Han 0003, Tongliang Liu. [doi]
• FLSL: Feature-level Self-supervised LearningQing Su, Anton Netchaev, Hai Li, Shihao Ji. [doi]
• Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with TextWanrong Zhu, Jack Hessel, Anas Awadalla, Samir Yitzhak Gadre, Jesse Dodge, Alex Fang, Youngjae Yu, Ludwig Schmidt, William Yang Wang, Yejin Choi 0001. [doi]
• Video-Mined Task Graphs for Keystep Recognition in Instructional VideosKumar Ashutosh, Santhosh Kumar Ramakrishnan, Triantafyllos Afouras, Kristen Grauman. [doi]
• Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressionsRuofan Wu, Jiawei Qiao, Mingzhe Wu, Wen Yu 0002, Ming Zheng, Tengfei Liu, Tianyi Zhang, Weiqiang Wang. [doi]
• Disentangling Cognitive Diagnosis with Limited Exercise LabelsXiangzhi Chen, Le Wu, Fei Liu, Lei Chen, Kun Zhang, Richang Hong, Meng Wang. [doi]
• Recovering Unbalanced Communities in the Stochastic Block Model with Application to Clustering with a Faulty OracleChandra Sekhar Mukherjee, Pan Peng 0001, Jiapeng Zhang. [doi]
• Equal Opportunity of Coverage in Fair RegressionFangxin Wang 0003, Lu Cheng 0001, Ruocheng Guo, Kay Liu, Philip S. Yu. [doi]
• Handling Data Heterogeneity via Architectural Design for Federated Visual RecognitionSara Pieri, Jose Renato Restom, Samuel Horváth, Hisham Cholakkal. [doi]
• Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge EnsemblesBenjamin S. Ruben, Cengiz Pehlevan. [doi]
• Graph Convolutional Kernel Machine versus Graph Convolutional NetworksZhihao Wu, Zhao Zhang, Jicong Fan. [doi]
• INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary EmbolismsShih-Cheng Huang, Zepeng Huo, Ethan Steinberg, Chia-Chun Chiang, Curtis P. Langlotz, Matthew P. Lungren, Serena Yeung, Nigam Shah, Jason Alan Fries. [doi]
• Masked Space-Time Hash Encoding for Efficient Dynamic Scene ReconstructionFeng Wang, Zilong Chen, Guokang Wang, Yafei Song, Huaping Liu 0001. [doi]
• Mathematical Capabilities of ChatGPTSimon Frieder, Luca Pinchetti, Alexis Chevalier, Ryan-Rhys Griffiths, Tommaso Salvatori, Thomas Lukasiewicz, Philipp Petersen, Julius Berner. [doi]
• What functions can Graph Neural Networks compute on random graphs? The role of Positional EncodingNicolas Keriven, Samuel Vaiter. [doi]
• Causal Context Connects Counterfactual Fairness to Robust Prediction and Group FairnessJacy Reese Anthis, Victor Veitch. [doi]
• Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning?Jialu Gao, Kaizhe Hu, Guowei Xu, Huazhe Xu. [doi]
• Characterization of Overfitting in Robust Multiclass ClassificationJingyuan Xu, Weiwei Liu. [doi]
• Any-to-Any Generation via Composable DiffusionZineng Tang, Ziyi Yang, Chenguang Zhu, Michael Zeng 0001, Mohit Bansal. [doi]
• Truly Scale-Equivariant Deep Nets with Fourier LayersMd Ashiqur Rahman, Raymond A. Yeh. [doi]
• Training on Foveated Images Improves Robustness to Adversarial AttacksMuhammad Shah, Aqsa Kashaf, Bhiksha Raj. [doi]
• MeCo: Zero-Shot NAS with One Data and Single Forward Pass via Minimum Eigenvalue of CorrelationTangyu Jiang, Haodi Wang, Rongfang Bie. [doi]
• Context-PIPs: Persistent Independent Particles Demands Context FeaturesWeikang Bian, Zhaoyang Huang, Xiaoyu Shi, Yitong Dong, Yijin Li, Hongsheng Li. [doi]
• Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix SensingShuyao Li, Yu Cheng 0002, Ilias Diakonikolas, Jelena Diakonikolas, Rong Ge 0001, Stephen J. Wright 0001. [doi]
• Stabilized Neural Differential Equations for Learning Dynamics with Explicit ConstraintsAlistair White, Niki Kilbertus, Maximilian Gelbrecht, Niklas Boers. [doi]
• A Theoretical Analysis of Optimistic Proximal Policy Optimization in Linear Markov Decision ProcessesHan Zhong 0001, Tong Zhang 0001. [doi]
• A Robust Exact Algorithm for the Euclidean Bipartite Matching ProblemAkshaykumar Gattani, Sharath Raghvendra, Pouyan Shirzadian. [doi]
• LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted InferenceHongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding. [doi]
• Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness InterventionsHao Wang, Luxi He, Rui Gao, Flávio P. Calmon. [doi]
• StressID: a Multimodal Dataset for Stress IdentificationHava Chaptoukaev, Valeriya Strizhkova, Michele Panariello, Bianca Dalpaos, Aglind Reka, Valeria Manera, Susanne Thümmler, Esma Ismailova, Nicholas W. D. Evans, Francois Brémond, Massimiliano Todisco, Maria A. Zuluaga, Laura M. Ferrari. [doi]
• AdaVAE: Bayesian Structural Adaptation for Variational AutoencodersParibesh Regmi, Rui Li 0002. [doi]
• NeRF-IBVS: Visual Servo Based on NeRF for Visual Localization and NavigationYuanze Wang, Yichao Yan, Dianxi Shi, Wenhan Zhu, Jianqiang Xia, Jeff Tan, Songchang Jin, Ke Gao, Xiaobo Li, Xiaokang Yang. [doi]
• Aligning Synthetic Medical Images with Clinical Knowledge using Human FeedbackShenghuan Sun, Gregory M. Goldgof, Atul J. Butte, Ahmed M. Alaa. [doi]
• HIQL: Offline Goal-Conditioned RL with Latent States as ActionsSeohong Park, Dibya Ghosh, Benjamin Eysenbach, Sergey Levine. [doi]
• Mask Propagation for Efficient Video Semantic SegmentationYuetian Weng, Mingfei Han 0002, Haoyu He, Mingjie Li 0006, Lina Yao 0001, Xiaojun Chang, Bohan Zhuang. [doi]
• VisAlign: Dataset for Measuring the Alignment between AI and Humans in Visual PerceptionJiyoung Lee, Seungho Kim, Seunghyun Won, Joonseok Lee, Marzyeh Ghassemi, James Thorne, Jaeseok Choi, O.-Kil Kwon, Edward Choi. [doi]
• Offline Imitation Learning with Variational Counterfactual ReasoningZexu Sun, Bowei He, Jinxin Liu, Xu Chen, Chen Ma, Shuai Zhang. [doi]
• TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif DiscoveryJialin Chen, Rex Ying. [doi]
• Interactive Visual Reasoning under UncertaintyManjie Xu, Guangyuan Jiang, Wei Liang, Chi Zhang, Yixin Zhu. [doi]
• Learning Robust Statistics for Simulation-based Inference under Model MisspecificationDaolang Huang, Ayush Bharti, Amauri H. Souza, Luigi Acerbi, Samuel Kaski. [doi]
• TransHP: Image Classification with Hierarchical PromptingWenhao Wang, Yifan Sun 0003, Wei Li, Yi Yang 0003. [doi]
• Optimization and Bayes: A Trade-off for Overparameterized Neural NetworksZhengmian Hu, Heng Huang. [doi]
• Benchmarking Distribution Shift in Tabular Data with TableShiftJosh Gardner, Zoran Popovic, Ludwig Schmidt. [doi]
• MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware DiffusionShitao Tang, Fuyang Zhang, Jiacheng Chen, Peng Wang, Yasutaka Furukawa. [doi]
• Promises and Pitfalls of Threshold-based Auto-labelingHarit Vishwakarma, Heguang Lin, Frederic Sala, Ramya Korlakai Vinayak. [doi]
• Phase diagram of early training dynamics in deep neural networks: effect of the learning rate, depth, and widthDayal Singh Kalra, Maissam Barkeshli. [doi]
• Softmax Output Approximation for Activation Memory-Efficient Training of Attention-based NetworksChanghyeon Lee, Seulki Lee. [doi]
• One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated LearningZichang Liu, Zhaozhuo Xu, Benjamin Coleman, Anshumali Shrivastava. [doi]
• GAUCHE: A Library for Gaussian Processes in ChemistryRyan-Rhys Griffiths, Leo Klarner, Henry B. Moss, Aditya Ravuri, Sang Truong, Yuanqi Du, Samuel Stanton, Gary Tom, Bojana Rankovic, Arian Rokkum Jamasb, Aryan Deshwal, Julius Schwartz, Austin Tripp, Gregory Kell, Simon Frieder, Anthony Bourached, Alex Chan, Jacob Moss, Chengzhi Guo, Johannes Peter Dürholt, Saudamini Chaurasia, Ji-Won Park, Felix Strieth-Kalthoff, Alpha A. Lee, Bingqing Cheng, Alán Aspuru-Guzik, Philippe Schwaller, Jian Tang. [doi]
• Focused Transformer: Contrastive Training for Context ScalingSzymon Tworkowski, Konrad Staniszewski, Mikolaj Pacek, Yuhuai Wu, Henryk Michalewski, Piotr Milos. [doi]
• PyNeRF: Pyramidal Neural Radiance FieldsHaithem Turki, Michael Zollhöfer, Christian Richardt, Deva Ramanan. [doi]
• ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool EmbeddingsShibo Hao, Tianyang Liu, Zhen Wang, Zhiting Hu. [doi]
• Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible PlansKyowoon Lee, Seongun Kim, Jaesik Choi. [doi]
• Provably Efficient Algorithm for Nonstationary Low-Rank MDPsYuan Cheng, Jing Yang, Yingbin Liang. [doi]
• Distributional Learning of Variational AutoEncoder: Application to Synthetic Data GenerationSeungHwan An, Jong-June Jeon. [doi]
• Systematic Visual Reasoning through Object-Centric Relational AbstractionTaylor Webb, Shanka Subhra Mondal, Jonathan D. Cohen 0003. [doi]
• TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance SegmentationRongkun Zheng, Lu Qi, Xi Chen, Yi Wang, Kun Wang, Yu Qiao, Hengshuang Zhao. [doi]
• Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot ClassificationNeel Guha, Mayee F. Chen, Kush Bhatia, Azalia Mirhoseini, Frederic Sala, Christopher Ré. [doi]
• Transfer Learning with Affine Model TransformationShunya Minami, Kenji Fukumizu, Yoshihiro Hayashi, Ryo Yoshida. [doi]
• ADGym: Design Choices for Deep Anomaly DetectionMinqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao 0016. [doi]
• Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free DataXin Zheng, Miao Zhang, Chunyang Chen, Quoc Viet Hung Nguyen, Xingquan Zhu 0001, Shirui Pan. [doi]
• Defending Pre-trained Language Models as Few-shot Learners against Backdoor AttacksZhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Jinghui Chen, Fenglong Ma, Ting Wang. [doi]
• Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive LearningBerken Utku Demirel, Christian Holz 0001. [doi]
• DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language ModelsGe Zheng, Bin Yang, Jiajin Tang, Hong-Yu Zhou, Sibei Yang. [doi]
• Intelligent Knee Sleeves: A Real-time Multimodal Dataset for 3D Lower Body Motion Estimation Using Smart TextileWenwen Zhang, Arvin Tashakori, Zenan Jiang, Amir Servati, Harishkumar Narayana, Saeid Soltanian, Rou Yi Yeap, Meng Han Ma, Lauren Toy, Peyman Servati. [doi]
• TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement LearningRuijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang. [doi]
• Orthogonal Non-negative Tensor Factorization based Multi-view ClusteringJing Li, Quanxue Gao, Qianqian Wang, Ming Yang, Wei Xia. [doi]
• Persuading Farsighted Receivers in MDPs: the Power of HonestyMartino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Mirco Mutti. [doi]
• XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary InformationZitao Liu, Qiongqiong Liu, Teng Guo, Jiahao Chen 0006, Shuyan Huang, Xiangyu Zhao, Jiliang Tang, Weiqi Luo 0002, Jian Weng 0001. [doi]
• One Fits All: Power General Time Series Analysis by Pretrained LMTian Zhou, Peisong Niu, Xue Wang, Liang Sun 0001, Rong Jin 0001. [doi]
• Adversarial Self-Training Improves Robustness and Generalization for Gradual Domain AdaptationLianghe Shi, Weiwei Liu. [doi]
• DiffUTE: Universal Text Editing Diffusion ModelHaoxing Chen, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Xing Zheng, Yaohui Li, Changhua Meng, Huijia Zhu, Weiqiang Wang. [doi]
• Towards Hybrid-grained Feature Interaction Selection for Deep Sparse NetworkFuyuan Lyu, Xing Tang 0007, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He 0001, Xue (Steve) Liu. [doi]
• Does a sparse ReLU network training problem always admit an optimum ?Quoc-Tung Le, Rémi Gribonval, Elisa Riccietti. [doi]
• Fair Graph DistillationQizhang Feng, Zhimeng Stephen Jiang, Ruiquan Li, Yicheng Wang, Na Zou, Jiang Bian 0001, Xia Hu. [doi]
• Learning Modulated Transformation in GANsCeyuan Yang, Qihang Zhang, Yinghao Xu, Jiapeng Zhu, Yujun Shen, Bo Dai 0002. [doi]
• Fair, Polylog-Approximate Low-Cost Hierarchical ClusteringMarina Knittel, Max Springer, John P. Dickerson, MohammadTaghi Hajiaghayi. [doi]
• A new perspective on building efficient and expressive 3D equivariant graph neural networksWeitao Du, Yuanqi Du, Limei Wang, Dieqiao Feng, Guifeng Wang, Shuiwang Ji, Carla P. Gomes, Zhi-Ming Ma. [doi]
• Bayesian nonparametric (non-)renewal processes for analyzing neural spike train variabilityDavid Liu, Máté Lengyel. [doi]
• Regression with Cost-based RejectionXin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An 0001, Lei Feng. [doi]
• Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-LehmanJiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen. [doi]
• Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum GamesMinbo Gao, Zhengfeng Ji, Tongyang Li, Qisheng Wang. [doi]
• MarioGPT: Open-Ended Text2Level Generation through Large Language ModelsShyam Sudhakaran, Miguel González Duque, Matthias Freiberger, Claire Glanois, Elias Najarro, Sebastian Risi. [doi]
• Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization ApproachJinqiu Jin, Haoxuan Li, Fuli Feng, Sihao Ding 0003, Peng Wu, Xiangnan He 0001. [doi]
• Fast and Regret Optimal Best Arm Identification: Fundamental Limits and Low-Complexity AlgorithmsQining Zhang, Lei Ying 0001. [doi]
• Complexity Matters: Rethinking the Latent Space for Generative ModelingTianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li. [doi]
• Fine-Grained Visual PromptingLingfeng Yang, Yueze Wang, Xiang Li, Xinlong Wang, Jian Yang. [doi]
• Interpretable Graph Networks Formulate Universal Algebra ConjecturesFrancesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Maria Lupidi, Lucie Charlotte Magister, Pietro Lió, Pietro Barbiero. [doi]
• CD-GraB: Coordinating Distributed Example Orders for Provably Accelerated TrainingA. Feder Cooper, Wentao Guo, Khiem Pham, Tiancheng Yuan, Charlie Ruan, Yucheng Lu, Christopher De Sa. [doi]
• Disentangled Counterfactual Learning for Physical Audiovisual Commonsense ReasoningChangsheng Lv, Shuai Zhang, Yapeng Tian, Mengshi Qi, Huadong Ma. [doi]
• Minimum Description Length and Generalization Guarantees for Representation LearningMilad Sefidgaran, Abdellatif Zaidi, Piotr Krasnowski. [doi]
• Large-Scale Distributed Learning via Private On-Device LSHTahseen Rabbani, Marco Bornstein, Furong Huang. [doi]
• Im-Promptu: In-Context Composition from Image PromptsBhishma Dedhia, Michael Chang 0003, Jake Snell, Tom Griffiths 0001, Niraj K. Jha. [doi]
• A Bounded Ability Estimation for Computerized Adaptive TestingYan Zhuang, Qi Liu, Guanhao Zhao, Zhenya Huang, Weizhe Huang, Zachary A. Pardos, Enhong Chen, Jinze Wu, Xin Li. [doi]
• Implicit Convolutional Kernels for Steerable CNNsMaksim Zhdanov, Nico Hoffmann, Gabriele Cesa. [doi]
• Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General UtilitiesDonghao Ying, Yunkai Zhang, Yuhao Ding, Alec Koppel, Javad Lavaei. [doi]
• Validated Image Caption Rating DatasetLothar D. Narins, Andrew T. Scott, Aakash Gautam, Anagha Kulkarni 0001, Mar Castanon, Benjamin Kao, Shasta Ihorn, Yue-Ting Siu, James M. Mason, Alexander Blum, Ilmi Yoon. [doi]
• Learning Environment-Aware Affordance for 3D Articulated Object Manipulation under OcclusionsRuihai Wu, Kai Cheng, Yan Zhao 0035, Chuanruo Ning, Guanqi Zhan, Hao Dong 0003. [doi]
• No-regret Algorithms for Fair Resource AllocationAbhishek Sinha, Ativ Joshi, Rajarshi Bhattacharjee, Cameron Musco, Mohammad Hajiesmaili. [doi]
• Learning Transformer ProgramsDan Friedman, Alexander Wettig, Danqi Chen 0001. [doi]
• Explainable Brain Age Prediction using coVariance Neural NetworksSaurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro. [doi]
• MLFMF: Data Sets for Machine Learning for Mathematical FormalizationAndrej Bauer, Matej Petkovic, Ljupco Todorovski. [doi]
• Active Reasoning in an Open-World EnvironmentManjie Xu, Guangyuan Jiang, Wei Liang, Chi Zhang, Yixin Zhu. [doi]
• A Computationally Efficient Sparsified Online Newton MethodDevvrit, Sai Surya Duvvuri, Rohan Anil, Vineet Gupta 0001, Cho-Jui Hsieh, Inderjit S. Dhillon. [doi]
• Generalized Information-theoretic Multi-view ClusteringWeitian Huang, Sirui Yang, Hongmin Cai. [doi]
• Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language ModelsNaoki Egami, Musashi Hinck, Brandon M. Stewart, Hanying Wei. [doi]
• Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted NetworksSteven Adriaensen, Herilalaina Rakotoarison, Samuel Müller 0005, Frank Hutter. [doi]
• Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose EncodingZhejun Zhang, Alexander Liniger, Christos Sakaridis, Fisher Yu 0001, Luc Van Gool. [doi]
• Differentially Private Statistical Inference through β-Divergence One Posterior SamplingJack Jewson, Sahra Ghalebikesabi, Chris C. Holmes. [doi]
• Online POMDP Planning with Anytime Deterministic GuaranteesMoran Barenboim, Vadim Indelman. [doi]
• AR-Diffusion: Auto-Regressive Diffusion Model for Text GenerationTong Wu, Zhihao Fan, Xiao Liu, Hai-Tao Zheng, Yeyun Gong, Yelong Shen, Jian Jiao 0007, Juntao Li, Zhongyu Wei, Jian Guo, Nan Duan, Weizhu Chen. [doi]
• Learning Visual Prior via Generative Pre-TrainingJinheng Xie, Kai Ye 0004, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng 0001, LinLin Shen, Mike Zheng Shou. [doi]
• SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstractionKushin Mukherjee, Holly Huey, Xuanchen Lu, Yael Vinker, Rio Aguina-Kang, Ariel Shamir, Judith E. Fan. [doi]
• ESSEN: Improving Evolution State Estimation for Temporal Networks using Von Neumann EntropyQiyao Huang, Yingyue Zhang, Zhihong Zhang, Edwin R. Hancock. [doi]
• Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative ModelingZhenyu Zhu, Francesco Locatello, Volkan Cevher. [doi]
• Learning Functional TransductionMathieu Chalvidal, Thomas Serre, Rufin VanRullen. [doi]
• The Crucial Role of Normalization in Sharpness-Aware MinimizationYan Dai 0002, Kwangjun Ahn, Suvrit Sra. [doi]
• Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive LearningSeungyong Moon, Junyoung Yeom, Bumsoo Park, Hyun Oh Song. [doi]
• TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge GraphXueyuan Lin, Haihong E, Chengjin Xu, Gengxian Zhou, Haoran Luo, Tianyi Hu, Fenglong Su, Ningyuan Li, Mingzhi Sun. [doi]
• Certification of Distributional Individual FairnessMatthew Wicker, Vihari Piratla, Adrian Weller. [doi]
• Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond ExamplesShashanka Venkataramanan, Ewa Kijak, Laurent Amsaleg, Yannis Avrithis. [doi]
• Conformal PID Control for Time Series PredictionAnastasios Angelopoulos, Emmanuel J. Candès, Ryan J. Tibshirani. [doi]
• Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized ModelsLeonardo Galli, Holger Rauhut, Mark Schmidt 0001. [doi]
• PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated LearningMingjia Shi, Yuhao Zhou, Kai Wang, Huaizheng Zhang, Shudong Huang, Qing Ye, Jiancheng Lv 0001. [doi]
• 3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D DetectionYunhao Ge, Hong-Xing Yu, Cheng Zhao, Yuliang Guo, Xinyu Huang 0001, Liu Ren, Laurent Itti, Jiajun Wu 0001. [doi]
• Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base ProblemsAnh Viet Do, Aneta Neumann, Frank Neumann 0001, Andrew M. Sutton. [doi]
• What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty CategorizationHao Sun, Boris van Breugel, Jonathan Crabbé, Nabeel Seedat, Mihaela van der Schaar. [doi]
• Optimistic Meta-GradientsSebastian Flennerhag, Tom Zahavy, Brendan O'Donoghue, Hado Philip van Hasselt, András György 0001, Satinder Singh. [doi]
• Language Models Meet World Models: Embodied Experiences Enhance Language ModelsJiannan Xiang, Tianhua Tao, Yi Gu, Tianmin Shu, Zirui Wang, Zichao Yang, Zhiting Hu. [doi]
• Are aligned neural networks adversarially aligned?Nicholas Carlini, Milad Nasr, Christopher A. Choquette-Choo, Matthew Jagielski, Irena Gao, Pang Wei Koh, Daphne Ippolito, Florian Tramèr, Ludwig Schmidt. [doi]
• VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language ModelsYonatan Bitton, Hritik Bansal, Jack Hessel, Rulin Shao, Wanrong Zhu, Anas Awadalla, Josh Gardner, Rohan Taori, Ludwig Schmidt. [doi]
• Stable Bias: Evaluating Societal Representations in Diffusion ModelsSasha Luccioni, Christopher Akiki, Margaret Mitchell, Yacine Jernite. [doi]
• Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature ConnectivityZhanpeng Zhou, Yongyi Yang, Xiaojiang Yang, Junchi Yan, Wei Hu. [doi]
• A Scalable Neural Network for DSIC Affine Maximizer Auction DesignZhijian Duan 0001, Haoran Sun, Yurong Chen 0002, Xiaotie Deng. [doi]