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NeurIPS 2022: all accepted papers

2,834 papers · page 24 of 29 · the most cited first · ← NeurIPS 2022

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  1. Size and Depth of Monotone Neural Networks: Interpolation and Approximation ↗Dan Mikulincer, Daniel Reichman1 citation
  2. Sparse Winning Tickets Are Data-Efficient Image Recognizers ↗Mukund Varma T, Xuxi Chen, Zhenyu Zhang et al.1 citation
  3. Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime ↗Benjamin Bowman, Guido Montúfar1 citation
  4. Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions ↗Weirui Ye, Pieter Abbeel, Yang Gao1 citation
  5. Stars: Tera-Scale Graph Building for Clustering and Learning ↗CJ Carey, Jonathan Halcrow, Rajesh Jayaram et al.1 citation
  6. Statistically Meaningful Approximation: A Case Study on Approximating Turing Machines with Transformers ↗Colin Wei, Yining Chen, Tengyu Ma1 citation
  7. Stochastic Multiple Target Sampling Gradient Descent ↗Hoang Phan, Ngoc Tran, Trung Le et al.1 citation
  8. Stochastic Online Learning with Feedback Graphs: Finite-Time and Asymptotic Optimality ↗Teodor V. Marinov, Mehryar Mohri, Julian Zimmert1 citation
  9. Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Functions ↗Saeed Masiha, Saber Salehkaleybar, Niao He et al.1 citation
  10. Stochastic Window Transformer for Image Restoration ↗Jie Xiao, Xueyang Fu, Feng Wu et al.1 citation
  11. Subspace Clustering in High-Dimensions: Phase Transitions & Statistical-To-Computational Gap ↗Luca Pesce, Bruno Loureiro, Florent Krząkała et al.1 citation
  12. Subspace Recovery from Heterogeneous Data with Non-Isotropic Noise ↗John C. Duchi, Vitaly Feldman, Lunjia Hu et al.1 citation
  13. Surprising Instabilities in Training Deep Networks and a Theoretical Analysis ↗Yuxin Sun, Dong Lao, Ganesh Sundaramoorthi et al.1 citation
  14. Syndicated Bandits: A Framework for Auto Tuning Hyper-Parameters in Contextual Bandit Algorithms ↗Qin Ding, Yue Kang, Yiwei Liu et al.1 citation
  15. Synergy-Of-Experts: Collaborate to Improve Adversarial Robustness ↗Sen Cui, Jingfeng Zhang, Jian Liang et al.1 citation
  16. Synthetic Model Combination: An Instance-Wise Approach to Unsupervised Ensemble Learning ↗Alex Chan, Mihaela Van Der Schaar1 citation
  17. TGEA 2.0: A Large-Scale Diagnostically Annotated Dataset with Benchmark Tasks for Text Generation of Pretrained Language Models ↗Huibin Ge, Xiaohu Zhao, Chuang Liu et al.1 citation
  18. TUSK: Task-Agnostic Unsupervised Keypoints ↗Yuhe Jin, Weiwei Sun, Jan Hosang et al.1 citation
  19. Tempo: Accelerating Transformer-Based Model Training Through Memory Footprint Reduction ↗Muralidhar Andoorveedu, Zhanda Zhu, Bojian Zheng et al.1 citation
  20. The Burer-Monteiro SDP Method Can Fail Even Above the Barvinok-Pataki Bound ↗Liam O'Carroll, Vaidehi Srinivas, Aravindan Vijayaraghavan1 citation
  21. The Implicit Delta Method ↗Nathan Kallus, James McInerney1 citation
  22. The Least-Control Principle for Local Learning at Equilibrium ↗Alexander Meulemans, Nicolas Zucchet, Seijin Kobayashi et al.1 citation
  23. The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm ↗Shilong Bao, Qianqian Xu, Zhiyong Yang et al.1 citation
  24. The Phenomenon of Policy Churn ↗Tom Schaul, Andre Barreto, John Quan et al.1 citation
  25. The Sample Complexity of One-Hidden-Layer Neural Networks ↗Gal Vardi, Ohad Shamir, Nathan Srebro1 citation
  26. Theoretically Better and Numerically Faster Distributed Optimization with Smoothness-Aware Quantization Techniques ↗Bokun Wang, Mher Safaryan, Peter Richtárik1 citation
  27. Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources ↗Peter Lippmann, Enrique Fita Sanmartín, Fred A. Hamprecht1 citation
  28. This is the Way: Designing and Compiling LEPISZCZE, a Comprehensive NLP Benchmark for Polish ↗Lukasz Augustyniak, Kamil Tagowski, Albert Sawczyn et al.1 citation
  29. Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes ↗Alessio Mazzetto, Cristina Menghini, Andrew Yuan et al.1 citation
  30. ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery ↗Andaç Demir, Baris Coskunuzer, Yulia R. Gel et al.1 citation
  31. Towards Disentangling Information Paths with Coded ResNeXt ↗Apostolos Avranas, Marios Kountouris1 citation
  32. Towards Effective Multi-Modal Interchanges in Zero-Resource Sounding Object Localization ↗Yang Zhao, Chen Zhang, Haifeng Huang et al.1 citation
  33. Towards Lightweight Black-Box Attack Against Deep Neural Networks ↗Chenghao Sun, Yonggang Zhang, Chaoqun Wan et al.1 citation
  34. Towards Theoretically Inspired Neural Initialization Optimization ↗Yibo Yang, Hong Wang, Haobo Yuan et al.1 citation
  35. Towards a Unified Framework for Uncertainty-Aware Nonlinear Variable Selection with Theoretical Guarantees ↗Wenying Deng, Beau Coker, Rajarshi Mukherjee et al.1 citation
  36. Trade-Off Between Payoff and Model Rewards in Shapley-Fair Collaborative Machine Learning ↗Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet1 citation
  37. Trading off Utility, Informativeness, and Complexity in Emergent Communication ↗Mycal Tucker, Roger Lévy, Julie Shah et al.1 citation
  38. Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes ↗Maxim Kodryan, Ekaterina Lobacheva, Maksim Nakhodnov et al.1 citation
  39. Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-To-Replace Subnetwork ↗Haotao Wang, Junyuan Hong, Aston Zhang et al.1 citation
  40. Tree Ensemble Kernels for Bayesian Optimization with Known Constraints Over Mixed-Feature Spaces ↗Alexander Thebelt, Calvin Tsay, Robert Lee et al.1 citation
  41. Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers ↗Luke Marris, Ian Gemp, Thomas Anthony et al.1 citation
  42. Uncertainty-Aware Hierarchical Refinement for Incremental Implicitly-Refined Classification ↗Jian Yang, Kai Zhu, Kecheng Zheng et al.1 citation
  43. Uncoupled Learning Dynamics with O(log T) Swap Regret in Multiplayer Games ↗Ioannis Anagnostides, Gabriele Farina, Christian Kroer et al.1 citation
  44. Understanding the Eluder Dimension ↗Gene Li, Pritish Kamath, Dylan J. Foster et al.1 citation
  45. Universal Rates for Interactive Learning ↗Steve Hanneke, Amin Karbasi, Shay Moran et al.1 citation
  46. Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on Groups ↗Sho Sonoda, Isao Ishikawa, Masahiro Ikeda1 citation
  47. Unsupervised Domain Adaptation for Semantic Segmentation Using Depth Distribution ↗Quanliang Wu, Huajun Liu1 citation
  48. Unsupervised Image-To-Image Translation with Density Changing Regularization ↗Shaoan Xie, Qirong Ho, Kun Zhang1 citation
  49. Unsupervised Learning of Equivariant Structure from Sequences ↗Takeru Miyato, Masanori Koyama, Kenji Fukumizu1 citation
  50. Unsupervised Learning of Shape Programs with Repeatable Implicit Parts ↗Boyang Deng, Sumith Kulal, Zhengyang Dong et al.1 citation
  51. Unsupervised Object Detection Pretraining with Joint Object Priors Generation and Detector Learning ↗Yizhou Wang, Meilin Chen, Shixiang Tang et al.1 citation
  52. Unsupervised Point Cloud Completion and Segmentation by Generative Adversarial Autoencoding Network ↗Changfeng Ma, Yang Yang, Jie Guo et al.1 citation
  53. VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming ↗Eleonora Misino, Giuseppe Marra, Emanuele Sansone1 citation
  54. Verification and Search Algorithms for Causal DAGs ↗Davin Choo, Kirankumar Shiragur, Arnab Bhattacharyya1 citation
  55. Wasserstein Logistic Regression with Mixed Features ↗Aras Selvi, Mohammad Reza Belbasi, Martin B. Haugh et al.1 citation
  56. Weakly Supervised Representation Learning with Sparse Perturbations ↗Kartik Ahuja, Jason Hartford, Yoshua Bengio1 citation
  57. Weighted Mutual Learning with Diversity-Driven Model Compression ↗Miao Zhang, Li Wang, David Campos et al.1 citation
  58. What You See is What You Classify: Black Box Attributions ↗Steven Stalder, Nathanaël Perraudin, Radhakrishna Achanta et al.1 citation
  59. What You See is What You Get: Principled Deep Learning Via Distributional Generalization ↗Bogdan Kulynych, Yao-Yuan Yang, Yaodong Yu et al.1 citation
  60. When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits ↗Achraf Azize, Debabrota Basu1 citation
  61. projUNN: Efficient Method for Training Deep Networks with Unitary Matrices ↗Bobak T. Kiani, Randall Balestriero, Yann LeCun et al.1 citation
  62. "Lossless" Compression of Deep Neural Networks: A High-Dimensional Neural Tangent Kernel Approach ↗Lingyu Gu, Lingyu Gu, Yuan Zhang et al.
  63. (Optimal) Online Bipartite Matching with Degree Information ↗Anders Aamand, Justin Y. Chen, Piotr Indyk
  64. 3DB: A Framework for Debugging Computer Vision Models ↗Guillaume Leclerc, Hadi Salman, Andrew Ilyas et al.
  65. A Characterization of Semi-Supervised Adversarially Robust PAC Learnability ↗Idan Attias, Steve Hanneke, Yishay Mansour
  66. A Combinatorial Perspective on the Optimization of Shallow ReLU Networks ↗Michael S Matena, Colin Raffel
  67. A Contrastive Rule for Meta-Learning ↗Nicolas Zucchet, Simon Schug, Johannes von Oswald et al.
  68. A Dataset for Efforts Towards Achieving the Sustainable Development Goal of Safe Working Environments ↗Eirik Lund Flogard, Ole J. Mengshoel
  69. A Deep Learning Dataloader with Shared Data Preparation ↗Jian Xie, Jingwei Xu, Guochang Wang et al.
  70. A Differentially Private Linear-Time fPTAS for the Minimum Enclosing Ball Problem ↗Bar Mahpud, Or Sheffet
  71. A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation ↗Philip Amortila, Nan Jiang, Dhruv Madeka et al.
  72. A Fourier Approach to Mixture Learning ↗Mingda Qiao, Guru Guruganesh, Ankit Singh Rawat et al.
  73. A Greek Parliament Proceedings Dataset for Computational Linguistics and Political Analysis ↗Konstantina Dritsa, Aikaterini Thoma, Ioannis Pavlopoulos et al.
  74. A Kernelised Stein Statistic for Assessing Implicit Generative Models ↗Wenkai Xu, Gesine Reinert
  75. A Multilabel Classification Framework for Approximate Nearest Neighbor Search ↗Ville Hyvönen, Elias Jääsaari, Teemu Roos
  76. A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity ↗Seo Taek Kong, Soomin Jeon, Dongbin Na et al.
  77. A New Dataset for Multilingual Keyphrase Generation ↗Frédéric Piedboeuf, Philippe Langlais
  78. A New Family of Generalization Bounds Using Samplewise Evaluated CMI ↗Fredrik Hellström, Giuseppe Durisi
  79. A Regret-Variance Trade-Off in Online Learning ↗Dirk van der Hoeven, Nikita Zhivotovskiy, Nicolò Cesa-Bianchi
  80. A Sharp NMF Result with Applications in Network Modeling ↗Jiashun Jin
  81. A Spectral Approach to Item Response Theory ↗Duc Phuong Trang Nguyen, Anderson Ye Zhang
  82. A Survey and Datasheet Repository of Publicly Available US Criminal Justice Datasets ↗Miri Zilka, Bradley Butcher, Adrian Weller
  83. A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning ↗Bo Liu, Xidong Feng, Jie Ren et al.
  84. A Theory of Weight Distribution-Constrained Learning ↗Weishun Zhong, Ben Sorscher, Daniel Lee et al.
  85. A Time-Resolved Theory of Information Encoding in Recurrent Neural Networks ↗Rainer Engelken, Sven Goedeke
  86. A Unifying Framework of Off-Policy General Value Function Evaluation ↗Tengyu Xu, Zhuoran Yang, Zhaoran Wang et al.
  87. A Variant of Anderson Mixing with Minimal Memory Size ↗Fuchao Wei, Chenglong Bao, Yang Liu et al.
  88. AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning ↗Tao Yang, Jinghao Deng, Xiaojun Quan et al.
  89. ATD: Augmenting CP Tensor Decomposition by Self Supervision ↗Chaoqi Yang, Cheng Qian, Navjot Singh et al.
  90. AZ-Whiteness Test: A Test for Signal Uncorrelation on Spatio-Temporal Graphs ↗Daniele Zambon, Cesare Alippi
  91. Accelerated Primal-Dual Gradient Method for Smooth and Convex-Concave Saddle-Point Problems with Bilinear Coupling ↗Dmitry Kovalev, Alexander Gasnikov, Peter Richtárik
  92. Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix Completion ↗Jialun Zhang, Hong-Ming Chiu, Richard Y. Zhang
  93. Acceleration in Distributed Sparse Regression ↗Marie Maros, Gesualdo Scutari
  94. Active Bayesian Causal Inference ↗Christian Toth, Lars Lorch, Christian J. Knoll et al.
  95. Active Learning Polynomial Threshold Functions ↗Omri Ben‐Eliezer, Max Hopkins, Chutong Yang et al.
  96. Active Learning for Multiple Target Models ↗Ying-Peng Tang, Sheng-Jun Huang
  97. Active Learning of Classifiers with Label and Seed Queries ↗Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi et al.
  98. Active Learning with Neural Networks: Insights from Nonparametric Statistics ↗Yinglun Zhu, Robert Nowak
  99. Active Ranking Without Strong Stochastic Transitivity ↗Hao Lou, Tao Jin, Yue Wu et al.
  100. Adaptive Data Debiasing Through Bounded Exploration ↗Yifan Yang, Yang Liu, Parinaz Naghizadeh

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