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NeurIPS 2024: all accepted papers

4,494 papers · page 44 of 45 · the most cited first · ← NeurIPS 2024

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  1. Semi-Open 3D Object Retrieval via Hierarchical Equilibrium on Hypergraph ↗Yang Xu, Yifan Feng, Jun Zhang et al.
  2. Semi-Random Matrix Completion via Flow-Based Adaptive Reweighting ↗Jonathan A. Kelner, Jerry Li, Allen Liu et al.
  3. Separation and Bias of Deep Equilibrium Models on Expressivity and Learning Dynamics ↗Zhoutong Wu, Yimu Zhang, Cong Fang et al.
  4. Separations in the Representational Capabilities of Transformers and Recurrent Architectures ↗Satwik Bhattamishra, Michael Hahn, Phil Blunsom et al.
  5. Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity ↗Vahid Balazadeh, Keertana Chidambaram, Viet Nguyen et al.
  6. SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization ↗Taisuke Yasuda, Kyriakos Axiotis, Gang Fu et al.
  7. Set-based Neural Network Encoding Without Weight Tying ↗Bruno Andreis, Bedionita Soro, Philip H. S. Torr et al.
  8. Shadowheart SGD: Distributed Asynchronous SGD with Optimal Time Complexity Under Arbitrary Computation and Communication Heterogeneity ↗Alexander Tyurin, Marta Pozzi, Ivan Ilin et al.
  9. Shaping the distribution of neural responses with interneurons in a recurrent circuit model ↗David Lipshutz, Eero P. Simoncelli
  10. Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance ↗Haiquan Lu, Qunli Li, Yefan Zhou et al.
  11. Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood ↗Rayen Dhahri, Alexander Immer, Betrand Charpentier et al.
  12. Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization ↗Quoc Tran-Dinh, Trang Tran, Lam M. Nguyen
  13. Simplifying Constraint Inference with Inverse Reinforcement Learning ↗Adriana Hugessen, Harley Wiltzer, Glen Berseth
  14. Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions ↗Quanqi Hu, Qi Qi, Zhaosong Lu et al.
  15. Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information ↗Marco Miani, Lorenzo Beretta, Søren Hauberg
  16. Sketching for Distributed Deep Learning: A Sharper Analysis ↗Mayank Shrivastava, Berivan Isik, Qiaobo Li et al.
  17. SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions ↗Zizhao Wang, Jiaheng Hu, Jiaheng Hu et al.
  18. Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover ↗Tam Nguyen, Anh-Dzung Doan, Zhipeng Cai et al.
  19. Slicing Vision Transformer for Flexible Inference ↗Yitian Zhang, Huseyin Coskun, Xu Ma et al.
  20. Slot State Space Models ↗Jindong Jiang, Fei Deng, Gautam Singh et al.
  21. Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates ↗Jincheng Mei, Bo Dai, Alekh Agarwal et al.
  22. Smoke and Mirrors in Causal Downstream Tasks ↗Riccardo Cadei, Lukas Lindorfer, Sylvia Cremer et al.
  23. Smoothed Online Classification can be Harder than Batch Classification ↗Vinod Raman, Unique Subedi, Ambuj Tewari
  24. Smoothie: Label Free Language Model Routing ↗Neel Guha, Mayee F. Chen, Trevor Chow et al.
  25. SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting ↗Ruohan Li, Yiqun Xie, Xiaowei Jia et al.
  26. Solving Sparse & High-Dimensional-Output Regression via Compression ↗Renyuan Li, Zhehui Chen, Guanyi Wang
  27. Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding ↗Chenhao Zhou, Zebang Shen, Chao Zhang et al.
  28. Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation ↗Julius Vetter, Guy Moss, Cornelius Schröder et al.
  29. Space-Time Continuous PDE Forecasting using Equivariant Neural Fields ↗David M. Knigge, David Wessels, Riccardo Valperga et al.
  30. Sparse maximal update parameterization: A holistic approach to sparse training dynamics ↗Nolan Dey, Shane Bergsma, Joel Hestness
  31. Sparse-view Pose Estimation and Reconstruction via Analysis by Generative Synthesis ↗Qitao Zhao, Shubham Tulsiani
  32. Sparsity-Agnostic Linear Bandits with Adaptive Adversaries ↗Tianyuan Jin, Kyoungseok Jang, Nicolò Cesa‐Bianchi
  33. Spectral Learning of Shared Dynamics Between Generalized-Linear Processes ↗Lucine L. Oganesian, Omid G. Sani, Maryam Modir Shanechi
  34. Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees ↗Dohyeong Kim, Taehyun Cho, Seungyub Han et al.
  35. Spiking Transformer with Experts Mixture ↗Zhaokun Zhou, Yijie Lu, Yanhao Jia et al.
  36. SplitNeRF: Split Sum Approximation Neural Field for Joint Geometry, Illumination, and Material Estimation ↗Jesus Zarzar, Bernard Ghanem
  37. Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling ↗Skyler Wu, Fred Lu, Edward Raff et al.
  38. Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes ↗Dan Qiao, Kaiqi Zhang, Esha Singh et al.
  39. State Space Models on Temporal Graphs: A First-Principles Study ↗Jintang Li, Ruofan Wu, Xinzhou Jin et al.
  40. State-free Reinforcement Learning ↗Mingyu Chen, Aldo Pacchiano, Xuezhou Zhang
  41. Statistical Efficiency of Distributional Temporal Difference Learning ↗Peng Yang, Liangyu Zhang, Zhihua Zhang
  42. Statistical Estimation in the Spiked Tensor Model via the Quantum Approximate Optimization Algorithm ↗Leo Zhou, Joao Basso, Mei Na Song
  43. Statistical Multicriteria Benchmarking via the GSD-Front ↗Christoph Jansen, Georg Schollmeyer, Julian Rodemann et al.
  44. Statistical-Computational Trade-offs for Density Estimation ↗Anders Aamand, Alexandr Andoni, Justin Y. Chen et al.
  45. Stepping Forward on the Last Mile ↗Chen Feng, Shaojie Zhuo, Xiaopeng Zhang et al.
  46. Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements ↗Jiseok Chae, Chulhee Yun, Donghwan Kim
  47. Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines ↗Edward Milsom, Ben Anson, Laurence Aitchison
  48. Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data ↗Xuxing Chen, Abhishek Ghosh Roy, Yifan Hu et al.
  49. Stochastic contextual bandits with graph feedback: from independence number to MAS number ↗Yuxiao Wen, Yuxiao Wen, Zhengyuan Zhou
  50. Strategic Linear Contextual Bandits ↗Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis et al.
  51. Strategic Multi-Armed Bandit Problems Under Debt-Free Reporting ↗Ahmed Ben Yahmed, Clément Calauzènes, Vianney Perchet
  52. Stress-Testing Capability Elicitation With Password-Locked Models ↗Ryan Greenblatt, Fabien Roger, Dmitrii Krasheninnikov et al.
  53. Stronger Than You Think: Benchmarking Weak Supervision on Realistic Tasks ↗Tianyi Zhang, Linrong Cai, Jeffrey Li et al.
  54. Structural Inference of Dynamical Systems with Conjoined State Space Models ↗Aoran Wang, Jun Pang
  55. Structured Learning of Compositional Sequential Interventions ↗Jialin Yu, Andreas Koukorinis, Nicolò Colombo et al.
  56. Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning ↗Riccardo Poiani, Gabriele Curti, Alberto Maria Metelli et al.
  57. Super Consistency of Neural Network Landscapes and Learning Rate Transfer ↗Lorenzo Noci, Alexandru Meterez, Thomas Frank Hofmann et al.
  58. SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization ↗Qian Chen, Tianjian Zhang, Linxin Yang et al.
  59. Symmetric Linear Bandits with Hidden Symmetry ↗Nam Tran, The Anh Ta, Debmalya Mandal et al.
  60. Symmetries in Overparametrized Neural Networks: A Mean Field View ↗Javier Martínez, Joaquín Fontbona
  61. Symmetry Discovery Beyond Affine Transformations ↗Ben Shaw, Abram Magner, Kevin R. Moon
  62. Synergistic Dual Spatial-aware Generation of Image-to-text and Text-to-image ↗Yu Zhao, Hao Fei, Xiangtai Li et al.
  63. Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models ↗Yeming Wen, Swarat Chaudhuri
  64. TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools ↗Avi Caciularu, Alon Jacovi, Eyal Ben-David et al.
  65. TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation ↗Sunjae Yoon, Gwanhyeong Koo, Younghwan Lee et al.
  66. Target-Guided Adversarial Point Cloud Transformer Towards Recognition Against Real-world Corruptions ↗Jie Wang, Tingfa Xu, Lihe Ding et al.
  67. Targeted Sequential Indirect Experiment Design ↗Elisabeth Ailer, Niclas Dern, Jason Hartford et al.
  68. Task Me Anything ↗Jieyu Zhang, Weikai Huang, Zixian Ma et al.
  69. Team-Fictitious Play for Reaching Team-Nash Equilibrium in Multi-team Games ↗Ahmed Said Donmez, Yuksel Arslantas, Muhammed O. Sayin
  70. Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed ↗Katherine Tieu, Dongqi Fu, Yada Zhu et al.
  71. Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor ↗Daniel Miao, Gilad Lerman, Joe Kileel
  72. Testing Calibration in Nearly-Linear Time ↗Lunjia Hu, Arun Jambulapati, Kevin Tian et al.
  73. Testing Semantic Importance via Betting ↗Jacopo Teneggi, Jeremias Sulam
  74. Text to Blind Motion ↗Hee Jae Kim, Kathakoli Sengupta, Masaki Kuribayashi et al.
  75. Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection ↗Saehyung Lee, Jisoo Mok, S.H. Park et al.
  76. The Bayesian sampling in a canonical recurrent circuit with a diversity of inhibitory interneurons ↗Eryn Sale, Wenhao Zhang
  77. The Benefits of Balance: From Information Projections to Variance Reduction ↗Lang Liu, Ronak Mehta, Soumik Pal et al.
  78. The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize ↗Dongyan Lucy Huo, Yixuan Zhang, Yudong Chen et al.
  79. The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof ↗Derek Lim, Theo, Robin Walters et al.
  80. The Implicit Bias of Adam on Separable Data ↗Chenyang Zhang, Difan Zou, Yuan Cao
  81. The Implicit Bias of Gradient Descent toward Collaboration between Layers: A Dynamic Analysis of Multilayer Perceptions ↗Zheng Wang, Geyong Min, Wenjie Ruan
  82. The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing ↗Yang Xu, Yihong Gu, Cong Fang
  83. The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information ↗Diyuan Wu, Ionuț-Vlad Modoranu, Mher Safaryan et al.
  84. The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space ↗Hongyao Tang, Min Zhang, Chen Chen et al.
  85. The Limits of Transfer Reinforcement Learning with Latent Low-rank Structure ↗Tyler Sam, Yudong Chen, Christina Yu
  86. The Many Faces of Optimal Weak-to-Strong Learning ↗Mikael Møller Høgsgaard, Kasper Green Larsen, Markus Engelund Mathiasen
  87. The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels ↗Florian Kalinke, Zoltán Szabó A
  88. The Power of Hard Attention Transformers on Data Sequences: A formal language theoretic perspective ↗Pascal Bergsträßer, Chris Köcher, Anthony W. Lin et al.
  89. The Price of Implicit Bias in Adversarially Robust Generalization ↗Nikolaos Tsilivis, Natalie S. Frank, Nathan Srebro et al.
  90. The Reliability of OKRidge Method in Solving Sparse Ridge Regression Problems ↗Xiyuan Li, Youjun Wang, Weiwei Liu
  91. The Sample Complexity of Gradient Descent in Stochastic Convex Optimization ↗Roi Livni
  92. The Secretary Problem with Predicted Additive Gap ↗Alexander Braun, Sherry Sarkar
  93. The Selective G-Bispectrum and its Inversion: Applications to G-Invariant Networks ↗Simon Mataigne, Johan Mathe, Sophia Sanborn et al.
  94. The Space Complexity of Approximating Logistic Loss ↗Gregory Dexter, Petros Drineas B, Rajiv Khanna
  95. The Star Geometry of Critic-Based Regularizer Learning ↗Oscar Leong, Eliza O’Reilly, Yong Sheng Soh
  96. The Surprising Effectiveness of SP Voting with Partial Preferences ↗Hadi Hosseini, Debmalya Mandal, Amrit Puhan
  97. The motion planning neural circuit in goal-directed navigation as Lie group operator search ↗Junfeng Zuo, Ying Nian Wu, Si Wu et al.
  98. Tight Bounds for Learning RUMs from Small Slates ↗Flavio Chierichetti, Mirko Giacchini, Ravi Kumar et al.
  99. Tight Rates for Bandit Control Beyond Quadratics ↗Y. Jennifer Sun, Zhou Lü
  100. Tighter Convergence Bounds for Shuffled SGD via Primal-Dual Perspective ↗Xufeng Cai, Cheuk Yin Lin, Jelena Diakonikolas

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