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NeurIPS 2022: all accepted papers

2,834 papers · page 17 of 29 · the most cited first · ← NeurIPS 2022

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  1. MExMI: Pool-Based Active Model Extraction Crossover Membership Inference ↗Yaxin Xiao, Qingqing Ye, Haibo Hu et al.3 citations
  2. Make Some Noise: Reliable and Efficient Single-Step Adversarial Training ↗Pau de Jorge, Adel Bibi, Riccardo Volpi et al.3 citations
  3. Manifold Interpolating Optimal-Transport Flows for Trajectory Inference ↗Guillaume Huguet, Daniel Sumner Magruder, Alexander A. Tong et al.3 citations
  4. Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification ↗Takumi Tanabe, Rei Sato, Kazuto Fukuchi et al.3 citations
  5. Measuring and Reducing Model Update Regression in Structured Prediction for NLP ↗Deng Cai, Elman Mansimov, Yi-An Lai et al.3 citations
  6. Memory Safe Computations with XLA Compiler ↗Artem Artemev, Yuze An, Tilman Roeder et al.3 citations
  7. Meta-Ticket: Finding Optimal Subnetworks for Few-Shot Learning Within Randomly Initialized Neural Networks ↗Daiki Chijiwa, Shin’ya Yamaguchi, Atsutoshi Kumagai et al.3 citations
  8. Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning ↗Zhiwei Xu, Dapeng Li, bin zhang et al.3 citations
  9. Minimax-Optimal Multi-Agent RL in Markov Games with a Generative Model ↗Gen Li, Yuejie Chi, Yuting Wei et al.3 citations
  10. Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently ↗Haoyuan Sun, Kwangjun Ahn, Christos Thrampoulidis et al.3 citations
  11. Mirror Descent with Relative Smoothness in Measure Spaces, with Application to Sinkhorn and EM ↗Pierre-Cyril Aubin-Frankowski, Anna Korba, Flavien Léger3 citations
  12. Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation ↗Kien Do, Thai Hung Le, Dung Nguyen et al.3 citations
  13. Muffliato: Peer-To-Peer Privacy Amplification for Decentralized Optimization and Averaging ↗Edwige Cyffers, Mathieu Even, Aurélien Bellet et al.3 citations
  14. Multi-Fidelity Best-Arm Identification ↗Riccardo Poiani, Alberto Maria Metelli, Marcello Restelli3 citations
  15. Multiclass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept Classes ↗Alkis Kalavasis, Grigoris Velegkas, Amin Karbasi3 citations
  16. Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks ↗YiJing Liu, Qinxian Liu, Jian-Wei Zhang et al.3 citations
  17. NCP: Neural Correspondence Prior for Effective Unsupervised Shape Matching ↗Souhaib Attaiki, Maks Ovsjanikov3 citations
  18. NS3: Neuro-Symbolic Semantic Code Search ↗Shushan Arakelyan, Anna Hakhverdyan, Miltiadis Allamanis et al.3 citations
  19. Near-Optimal Correlation Clustering with Privacy ↗Vincent Cohen-Addad, Chenglin Fan, Silvio Lattanzi et al.3 citations
  20. Near-Optimal Randomized Exploration for Tabular Markov Decision Processes ↗Zhihan Xiong, Ruoqi Shen, Qiwen Cui et al.3 citations
  21. Near-Optimal Sample Complexity Bounds for Constrained MDPs ↗Sharan Vaswani, Lin Yang, Csaba Szepesvári3 citations
  22. Neural Abstractions ↗Alessandro Abate, Alec Edwards, Mirco Giacobbe3 citations
  23. Neural Approximation of Graph Topological Features ↗Zuoyu Yan, Tengfei Ma, Liangcai Gao et al.3 citations
  24. Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection ↗Abir De, Soumen Chakrabarti3 citations
  25. Neural Topological Ordering for Computation Graphs ↗Mukul Gagrani, Corrado Rainone, Yang Yang et al.3 citations
  26. New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound ↗Arushi Gupta, Nikunj Saunshi, Dingli Yu et al.3 citations
  27. Noise Attention Learning: Enhancing Noise Robustness by Gradient Scaling ↗Yangdi Lu, Yang Bo, Wenbo He3 citations
  28. Non-Convex Bilevel Games with Critical Point Selection Maps ↗Michael Arbel, Julien Mairal3 citations
  29. Nonstationary Dual Averaging and Online Fair Allocation ↗Luofeng Liao, Yuan Gao, Christian Kroer3 citations
  30. Normalizing Flows for Knockoff-Free Controlled Feature Selection ↗Derek Hansen, Brian Manzo, Jeffrey Regier3 citations
  31. Object-Category Aware Reinforcement Learning ↗Qi Yi, Rui Zhang, Shaohui Peng et al.3 citations
  32. Offline Goal-Conditioned Reinforcement Learning Via f-Advantage Regression ↗Jason Yecheng Ma, Jason Yan, Jason Yecheng Ma et al.3 citations
  33. On Computing Probabilistic Explanations for Decision Trees ↗Marcelo Arenas, Pablo Barceló, Miguel Romero Orth et al.3 citations
  34. On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds ↗Biraj Dahal, Alexander Havrilla, Minshuo Chen et al.3 citations
  35. On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation ↗Markus Hiller, Mehrtash Tafazzoli Harandi, Tom W. Drummond3 citations
  36. On Gap-Dependent Bounds for Offline Reinforcement Learning ↗Xinqi Wang, Qiwen Cui, Simon Du3 citations
  37. On the Convergence Theory for Hessian-Free Bilevel Algorithms ↗Daouda Sow, Kaiyi Ji, Yingbin Liang3 citations
  38. On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses ↗Chhabra Anshuman, Ashwin Sekhari, Prasant Mohapatra3 citations
  39. On-Demand Sampling: Learning Optimally from Multiple Distributions ↗Nika Haghtalab, Michael I. Jordan, Eric Zhao3 citations
  40. One-Inlier is First: Towards Efficient Position Encoding for Point Cloud Registration ↗Fan Yang, Lin Guo, Zhi Chen et al.3 citations
  41. OpenSRH: Optimizing Brain Tumor Surgery Using Intraoperative Stimulated Raman Histology ↗Cheng Jiang, Asadur Chowdury, Xinhai Hou et al.3 citations
  42. Operator Splitting Value Iteration ↗Amin Rakhsha, Andrew Wang, Mohammad Ghavamzadeh et al.3 citations
  43. Optimal Binary Classification Beyond Accuracy ↗Shashank Singh, Justin Khim3 citations
  44. Optimal Dynamic Regret in LQR Control ↗Dheeraj Baby, Yu-Xiang Wang3 citations
  45. Outlier-Robust Sparse Estimation Via Non-Convex Optimization ↗Yu Cheng, Ilias Diakonikolas, Rong Ge et al.3 citations
  46. PAC: Assisted Value Factorization with Counterfactual Predictions in Multi-Agent Reinforcement Learning ↗Hanhan Zhou, Tian Lan, Vaneet Aggarwal3 citations
  47. Personalized Federated Learning Towards Communication Efficiency, Robustness and Fairness ↗Shiyun Lin, Yuze Han, Shiyun Lin et al.3 citations
  48. Post-Hoc Estimators for Learning to Defer to an Expert ↗Harikrishna Narasimhan, Wittawat Jitkrittum, Aditya Krishna Menon et al.3 citations
  49. Pre-Trained Model Reusability Evaluation for Small-Data Transfer Learning ↗Yao-Xiang Ding, Xi-Zhu Wu, Kun Zhou et al.3 citations
  50. Provable Benefit of Multitask Representation Learning in Reinforcement Learning ↗Yuan Cheng, Songtao Feng, Jing Yang et al.3 citations
  51. Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems ↗Masatoshi Uehara, Ayush Sekhari, Jason D. Lee et al.3 citations
  52. Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection Without Clean Datasets ↗Ruisi Cai, Zhenyu Zhang, Tianlong Chen et al.3 citations
  53. Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning ↗Milad Sefidgaran, Romain Chor, Abdellatif Zaidi3 citations
  54. Redistribution of Weights and Activations for AdderNet Quantization ↗Ying Nie, Kai Han, Haikang Diao et al.3 citations
  55. ResQ: A Residual Q Function-Based Approach for Multi-Agent Reinforcement Learning Value Factorization ↗Siqi Shen, Jun Liu, Jun Liu et al.3 citations
  56. Resolving the Data Ambiguity for Periodic Crystals ↗Daniel Widdowson, Vitaliy A. Kurlin3 citations
  57. Resource-Adaptive Federated Learning with All-In-One Neural Composition ↗Yiqun Mei, Pengfei Guo, Mo Zhou et al.3 citations
  58. Revisiting Active Sets for Gaussian Process Decoders ↗Pablo Moreno-Muñoz, Cilie W. Feldager, Søren Hauberg3 citations
  59. Riemannian Neural SDE: Learning Stochastic Representations on Manifolds ↗Sung Woo Park, Hyomin Kim, Kyungjae Lee et al.3 citations
  60. Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning ↗Rujie Zhong, Duohan Zhang, Lukas Schäfer et al.3 citations
  61. Robustness Disparities in Face Detection ↗Samuel W. Dooley, George Z. Wei, Tom Goldstein et al.3 citations
  62. SCONE: Surface Coverage Optimization in Unknown Environments by Volumetric Integration ↗Antoine Guédon, Pascal Monasse, Vincent Lepetit3 citations
  63. Saliency-Aware Neural Architecture Search ↗Ramtin Hosseini, Pengtao Xie3 citations
  64. Sample-Then-Optimize Batch Neural Thompson Sampling ↗Zhongxiang Dai, Yao Shu, Bryan Kian Hsiang Low et al.3 citations
  65. Scalable Multi-Agent Covering Option Discovery Based on Kronecker Graphs ↗Jiayu Chen, Jiayu Chen, Tian Lan et al.3 citations
  66. SecureFedYJ: A Safe Feature Gaussianization Protocol for Federated Learning ↗Tanguy Marchand, Boris Muzellec, Constance Béguier et al.3 citations
  67. Self-Supervised Surround-View Depth Estimation with Volumetric Feature Fusion ↗Jung-Hee Kim, Junhwa Hur, Tien Phuoc Nguyen et al.3 citations
  68. Sequence Model Imitation Learning with Unobserved Contexts ↗Gokul Swamy, Sanjiban Choudhury, James Andrew Bagnell et al.3 citations
  69. Set-Based Meta-Interpolation for Few-Task Meta-Learning ↗Seanie Lee, Bruno Andreis, Kenji Kawaguchi et al.3 citations
  70. SizeShiftReg: A Regularization Method for Improving Size-Generalization in Graph Neural Networks ↗Davide Buffelli, Pietro Liò, Fabio Vandin3 citations
  71. Skills Regularized Task Decomposition for Multi-Task Offline Reinforcement Learning ↗Minjong Yoo, Sangwoo Cho, Honguk Woo3 citations
  72. Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations Via Gradient Descent ↗Yiping Lu, José Blanchet, Lexing Ying3 citations
  73. SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression ↗Zhize Li, Haoyu Zhao, Boyue Li et al.3 citations
  74. Stability and Generalization for Markov Chain Stochastic Gradient Methods ↗Puyu Wang, Yunwen Lei, Yiming Ying et al.3 citations
  75. Staircase Attention for Recurrent Processing of Sequences ↗Da Ju, Stephen Roller, Sainbayar Sukhbaatar et al.3 citations
  76. Structural Analysis of Branch-And-Cut and the Learnability of Gomory Mixed Integer Cuts ↗Maria-Florina Balcan, Siddharth Prasad, Tüomas Sandholm et al.3 citations
  77. Submodular Maximization in Clean Linear Time ↗Wenxin Li, Moran Feldman, Ehsan Mohamad Kazemi et al.3 citations
  78. Supervising the Multi-Fidelity Race of Hyperparameter Configurations ↗Martin Wistuba, Arlind Kadra, Josif Grabocka3 citations
  79. Symbolic Distillation for Learned TCP Congestion Control ↗S P Sharan, Wenqing Zheng, Kuo-Feng Hsu et al.3 citations
  80. Symmetry Teleportation for Accelerated Optimization ↗Bo Zhao, Nima Dehmamy, Robin Walters et al.3 citations
  81. Taming Fat-Tailed (“Heavier-Tailed” with Potentially Infinite Variance) Noise in Federated Learning ↗Haibo Yang, Peiwen Qiu, Jia Liu3 citations
  82. Teach Less, Learn More: On the Undistillable Classes in Knowledge Distillation ↗Yichen Zhu, Ning Liu, Zhiyuan Xu et al.3 citations
  83. The Curse of Unrolling: Rate of Differentiating Through Optimization ↗Damien Scieur, Gauthier Gidel, Quentin Bertrand et al.3 citations
  84. The Missing Invariance Principle Found — The Reciprocal Twin of Invariant Risk Minimization ↗Dongsung Huh, Avinash Baidya3 citations
  85. The Nature of Temporal Difference Errors in Multi-Step Distributional Reinforcement Learning ↗Yunhao Tang, Rémi Munos, Mark Rowland et al.3 citations
  86. The Neural Covariance SDE: Shaped Infinite Depth-And-Width Networks at Initialization ↗Mufan Li, Mihai Nica, Daniel M. Roy3 citations
  87. The Power and Limitation of Pretraining-Finetuning for Linear Regression Under Covariate Shift ↗Jingfeng Wu, Difan Zou, Vladimir Braverman et al.3 citations
  88. The Role of Baselines in Policy Gradient Optimization ↗Jincheng Mei, Wesley Chung, Valentin Thomas et al.3 citations
  89. Tikhonov Regularization is Optimal Transport Robust Under Martingale Constraints ↗Jiajin Li, Sirui Lin, José Blanchet et al.3 citations
  90. Toward Equation of Motion for Deep Neural Networks: Continuous-Time Gradient Descent and Discretization Error Analysis ↗Taiki Miyagawa3 citations
  91. Towards Consistency in Adversarial Classification ↗Laurent Meunier, Raphael Ettedgui, Rafaël Pinot et al.3 citations
  92. Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation ↗Arnaud Delaunoy, Joeri Hermans, François Rozet et al.3 citations
  93. Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling ↗Kaitao Song, Yichong Leng, Xu Tan et al.3 citations
  94. Transferring Pre-Trained Multimodal Representations with Cross-Modal Similarity Matching ↗Byoungjip Kim, Sungik Choi, Dasol Hwang et al.3 citations
  95. Transformers Meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost ↗Sungjun Cho, Seonwoo Min, Jinwoo Kim et al.3 citations
  96. UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers Trained Via Conditional GANs ↗Philipp Oberdiek, Gernot A. Fink, Matthias Rottmann3 citations
  97. Uncertainty Estimation for Multi-View Data: The Power of Seeing the Whole Picture ↗Myong Chol Jung, He Zhao, Joanna F. Dipnall et al.3 citations
  98. Unsupervised Visual Representation Learning Via Mutual Information Regularized Assignment ↗Dong Hoon Lee, Sungik Choi, Hyunwoo Kim et al.3 citations
  99. Value Function Decomposition for Iterative Design of Reinforcement Learning Agents ↗James MacGlashan, Evan Archer, Alisa Devlić et al.3 citations
  100. Visual Correspondence-Based Explanations Improve AI Robustness and human-AI Team Accuracy ↗Mohammad Reza Taesiri, Giang Nguyen, Anh Kiet Nguyen3 citations

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