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NeurIPS 2022: all accepted papers

2,834 papers · page 23 of 29 · the most cited first · ← NeurIPS 2022

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  1. Multilingual Abusive Comment Detection at Scale for Indic Languages ↗Vikram Gupta, Sumegh Roychowdhury, Mithun Das et al.1 citation
  2. Multitasking Models Are Robust to Structural Failure: A Neural Model for Bilingual Cognitive Reserve ↗Giannis Daras, Negin Raoof, Zoi Gkalitsiou et al.1 citation
  3. NSNet: A General Neural Probabilistic Framework for Satisfiability Problems ↗Zhaoyu Li, Xujie Si1 citation
  4. Near-Optimal Regret Bounds for Multi-Batch Reinforcement Learning ↗Zihan Zhang, Yuhang Jiang, Yuan Zhou et al.1 citation
  5. Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback ↗Tiancheng Jin, Tal Lancewicki, Haipeng Luo et al.1 citation
  6. Nearly-Optimal Bounds for Testing Histogram Distributions ↗Clément L. Canonne, Ilias Diakonikolas, Daniel M. Kane et al.1 citation
  7. Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization ↗Junchi Yang, Xiang (Lorraine) Li, Niao He1 citation
  8. Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules ↗Kazuki Irie, Francesco Faccio, Jürgen Schmidhuber1 citation
  9. NeuroSchedule: A Novel Effective GNN-Based Scheduling Method for High-Level Synthesis ↗Jun Zeng, Mingyang Kou, Hailong Yao1 citation
  10. No-Regret Learning in Games with Noisy Feedback: Faster Rates and Adaptivity Via Learning Rate Separation ↗Yu-Guan Hsieh, Kimon Antonakopoulos, Volkan Cevher et al.1 citation
  11. Non-Gaussian Tensor Programs ↗Eugène Golikov, Greg Yang1 citation
  12. Non-Markovian Reward Modelling from Trajectory Labels Via Interpretable Multiple Instance Learning ↗Joseph Early, Tom Bewley, Christine Evers et al.1 citation
  13. Nonlinear MCMC for Bayesian Machine Learning ↗James Vuckovic1 citation
  14. Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes Under Non-Parametric Models ↗Rui Miao, Zhengling Qi, Xiaoke Zhang1 citation
  15. Off-Policy Evaluation with Deficient Support Using Side Information ↗Nicolò Felicioni, Maurizio Ferrari Dacrema, Marcello Restelli et al.1 citation
  16. Off-Policy Evaluation with Policy-Dependent Optimization Response ↗Wenshuo Guo, Michael I. Jordan, Angela Zhou1 citation
  17. Offline Multi-Agent Reinforcement Learning with Knowledge Distillation ↗Wei-Cheng Tseng, Tsun-Hsuan Wang, Yen-Chen Lin et al.1 citation
  18. Okapi: Generalising Better by Making Statistical Matches Match ↗Myles Bartlett, Sara Romiti, Viktoriia Sharmanska et al.1 citation
  19. On Image Segmentation with Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and Dice ↗Marcus Nordström, Henrik Hult, Fredrik Löfman et al.1 citation
  20. On Leave-One-Out Conditional Mutual Information for Generalization ↗Mohamad Rida Rammal, Alessandro Achille, Aditya Golatkar et al.1 citation
  21. On Margin Maximization in Linear and ReLU Networks ↗Gal Vardi, Ohad Shamir, Nathan Srebro1 citation
  22. On Translation and Reconstruction Guarantees of the Cycle-Consistent Generative Adversarial Networks ↗Anish Chakrabarty, Swagatam Das1 citation
  23. On the Convergence of Policy Gradient Methods to Nash Equilibria in General Stochastic Games ↗Angeliki Giannou, Kyriakos Lotidis, Panayotis Mertikopoulos et al.1 citation
  24. On the Effect of Pre-Training for Transformer in Different Modality on Offline Reinforcement Learning ↗Shiro Takagi1 citation
  25. On the Epistemic Limits of Personalized Prediction ↗Lucas Monteiro Paes, Carol Xuan Long, Berk Ustun et al.1 citation
  26. On the Generalization Power of the Overfitted Three-Layer Neural Tangent Kernel Model ↗Peizhong Ju, Xiaojun Lin, Ness B. Shroff1 citation
  27. On the Importance of Gradient Norm in PAC-Bayesian Bounds ↗Itai Gat, Yossi Adi, Alexander Gerhard Schwing et al.1 citation
  28. On the Non-Universality of Deep Learning: Quantifying the Cost of Symmetry ↗Emmanuel A. Abbe, Enric Boix-Adserà1 citation
  29. On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels ↗Amnon Geifman, Meirav Galun, David W. Jacobs et al.1 citation
  30. On the Stability and Scalability of Node Perturbation Learning ↗Naoki Hiratani, Yash Mehta, Timothy Lillicrap et al.1 citation
  31. On the Tradeoff Between Robustness and Fairness ↗Xinsong Ma, Zekai Wang, Weiwei Liu1 citation
  32. Online PAC-Bayes Learning ↗Maxime Haddouche, Benjamin Guedj1 citation
  33. Operative Dimensions in Unconstrained Connectivity of Recurrent Neural Networks ↗Renate Krause, Matthew Cook, Sepp Kollmorgen et al.1 citation
  34. Optimal Learning Rates for Regularized Conditional Mean Embedding Learning ↗Li Zhu, Dimitri Meunier, Mattes Mollenhauer et al.1 citation
  35. Optimal Query Complexities for Dynamic Trace Estimation ↗David P. Woodruff, Fred Zhang, Richard Zhang1 citation
  36. Optimistic Mirror Descent Either Converges to Nash Or to Strong Coarse Correlated Equilibria in Bimatrix Games ↗Ioannis Anagnostides, Gabriele Farina, Ioannis Panageas et al.1 citation
  37. Oracle Inequalities for Model Selection in Offline Reinforcement Learning ↗Jonathan N Lee, George Tucker, Ofir Nachum et al.1 citation
  38. Oracle-Efficient Online Learning for Smoothed Adversaries ↗Nika Haghtalab, Yanjun Han, Abhishek Shetty et al.1 citation
  39. Oscillatory Tracking of Continuous Attractor Neural Networks Account for Phase Precession and Procession of Hippocampal Place Cells ↗Tianhao Chu, Zilong Ji, Junfeng Zuo et al.1 citation
  40. Out-Of-Distribution Detection Via Conditional Kernel Independence Model ↗Yu Wang, Jingjing Zou, Jingyang Lin et al.1 citation
  41. Out-Of-Distribution Detection with an Adaptive Likelihood Ratio on Informative Hierarchical VAE ↗Yewen Li, Chaojie Wang, Xiaobo Xia et al.1 citation
  42. Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions ↗Ilias Diakonikolas, Daniel M. Kane, Jasper Lee et al.1 citation
  43. Outsourcing Training Without Uploading Data Via Efficient Collaborative Open-Source Sampling ↗Junyuan Hong, Lingjuan Lyu, Jiayu Zhou et al.1 citation
  44. PAC Prediction Sets for Meta-Learning ↗Sangdon Park, Edgar Dobriban, Insup Lee et al.1 citation
  45. PROSPECT: Labeled Tandem Mass Spectrometry Dataset for Machine Learning in Proteomics ↗Omar Osama Shouman, Wassim Gabriel, Victor Giurcoiu et al.1 citation
  46. Palm Up: Playing in the Latent Manifold for Unsupervised Pretraining ↗Hao Liu, Tom Zahavy, Volodymyr Mnih et al.1 citation
  47. Parameter-Free Regret in High Probability with Heavy Tails ↗Jiujia Zhang, Ashok Cutkosky1 citation
  48. Paraphrasing is All You Need for Novel Object Captioning ↗Cheng-Fu Yang, Yao-Hung Hubert Tsai, Wan-Cyuan Fan et al.1 citation
  49. Path Independent Equilibrium Models Can Better Exploit Test-Time Computation ↗Cem Anil, Ashwini Pokle, Kaiqu Liang et al.1 citation
  50. Physics-Informed Implicit Representations of Equilibrium Network Flows ↗Kevin B. Smith, Francesco Seccamonte, Ananthram Swami et al.1 citation
  51. Planning to the Information Horizon of BAMDPs Via Epistemic State Abstraction ↗Dilip Arumugam, Satinder Pal Singh1 citation
  52. PlasticityNet: Learning to Simulate Metal, Sand, and Snow for Optimization Time Integration ↗Xuan LI, Yadi Cao, Minchen Li et al.1 citation
  53. Polynomial-Time Optimal Equilibria with a Mediator in Extensive-Form Games ↗Brian Hu Zhang, Tüomas Sandholm1 citation
  54. PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits ↗Kyoungseok Jang, Chicheng Zhang, Kwang-Sung Jun1 citation
  55. Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks ↗Agustinus Kristiadi, Runa Eschenhagen, Philipp Hennig1 citation
  56. Precise Learning Curves and Higher-Order Scalings for Dot-Product Kernel Regression ↗Lechao Xiao, Hong Hu, Theodor Misiakiewicz et al.1 citation
  57. Predicting Label Distribution from Multi-Label Ranking ↗Yunan Lu, Xiuyi Jia1 citation
  58. Predictive Coding Beyond Gaussian Distributions ↗Luca Pinchetti, Tommaso Salvatori, Yordan Yordanov et al.1 citation
  59. Product Ranking for Revenue Maximization with Multiple Purchases ↗Renzhe Xu, Xingxuan Zhang, Bo Li et al.1 citation
  60. Provably Tuning the ElasticNet Across Instances ↗Maria-Florina Balcan, Mikhail Khodak, Dravyansh Sharma et al.1 citation
  61. Proximal Learning with Opponent-Learning Awareness ↗Stephen Zhao, Chris Lu, Roger Grosse et al.1 citation
  62. PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal Imputation ↗Maxwell Xu, Alexander Moreno, Supriya Nagesh et al.1 citation
  63. Pythae: Unifying Generative Autoencoders in Python - A Benchmarking Use Case ↗Clément Chadebec, Louis J Vincent, Stéphanie Allassonnière1 citation
  64. Quantifying Statistical Significance of Neural Network-Based Image Segmentation by Selective Inference ↗Vo Nguyen Le Duy, Shogo Iwazaki, Ichiro Takeuchi1 citation
  65. Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability ↗Whiyoung Jung, Myungsik Cho, Jongeui Park et al.1 citation
  66. Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits ↗Tongyang Li, Ruizhe Zhang1 citation
  67. Random Normalization Aggregation for Adversarial Defense ↗Minjing Dong, Xinghao Chen, Yunhe Wang et al.1 citation
  68. Randomized Message-Interception Smoothing: Gray-Box Certificates for Graph Neural Networks ↗Yan Scholten, Jan Schuchardt, Simon Geisler et al.1 citation
  69. Rapid Model Architecture Adaption for Meta-Learning ↗Yiren Zhao, Xitong Gao, I Shumailov et al.1 citation
  70. Rapidly Mixing Multiple-Try Metropolis Algorithms for Model Selection Problems ↗Hyunwoong Chang, Changwoo Lee, Zhao Tang Luo et al.1 citation
  71. Re-Analyze Gauss: Bounds for Private Matrix Approximation Via Dyson Brownian Motion ↗Oren Mangoubi, Nisheeth K. Vishnoi1 citation
  72. Receding Horizon Inverse Reinforcement Learning ↗Yiqing Xu, Wei Gao, David Hsu1 citation
  73. Recurrent Convolutional Neural Networks Learn Succinct Learning Algorithms ↗Surbhi Goel, Sham M. Kakade, Adam Tauman Kalai et al.1 citation
  74. Recursive Reasoning in Minimax Games: A Level k Gradient Play Method ↗Zichu Liu, Lacra Pavel1 citation
  75. Reduced Representation of Deformation Fields for Effective Non-Rigid Shape Matching ↗Ramana Sundararaman, Riccardo Marin, Emanuele Rodolà et al.1 citation
  76. Reduction Algorithms for Persistence Diagrams of Networks: CoralTDA and PrunIT ↗Cüneyt Gürcan Akçora, Murat Kantarcioglu, Yulia R. Gel et al.1 citation
  77. Redundant Representations Help Generalization in Wide Neural Networks ↗Diego Doimo, Aldo Glielmo, Sebastian Goldt et al.1 citation
  78. Regret Bounds for Risk-Sensitive Reinforcement Learning ↗Osbert Bastani, Jason Yecheng Ma, Estelle Shen et al.1 citation
  79. Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games ↗Sihan Zeng, Thinh T. Doan, Justin Romberg1 citation
  80. Relation-Constrained Decoding for Text Generation ↗Xiang 'Anthony' Chen, Zhixian Yang, Xiaojun Wan1 citation
  81. Rethinking Variational Inference for Probabilistic Programs with Stochastic Support ↗Tim Reichelt, Luke Ong, Thomas Rainforth1 citation
  82. Risk-Driven Design of Perception Systems ↗Anthony Corso, Sydney M. Katz, Craig Innes et al.1 citation
  83. Robust Imitation Via Mirror Descent Inverse Reinforcement Learning ↗Dong-Sig Han, Hyunseo Kim, Hyundo Lee et al.1 citation
  84. Robust Learning Against Relational Adversaries ↗Yizhen Wang, Mohannad Alhanahnah, Xiaozhu Meng et al.1 citation
  85. Robust Testing in High-Dimensional Sparse Models ↗Anand Jerry George, Clément L. Canonne1 citation
  86. Robust o-Divergence MDPs ↗Chin Pang Ho, Marek Petrik, Wolfram Wiesemann1 citation
  87. S-PIFu: Integrating Parametric Human Models with PIFu for Single-View Clothed Human Reconstruction ↗Kennard Yanting Chan, Guosheng Lin, Haiyu Zhao et al.1 citation
  88. SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training ↗Yangrui Chen, Cong Xie, Meng Ma et al.1 citation
  89. SIXO: Smoothing Inference with Twisted Objectives ↗Dieterich Lawson, Allan Raventós, Andrew Warrington et al.1 citation
  90. SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-Agent Reinforcement Learning ↗Yuhang Jiang, Jianzhun Shao, Shuncheng He et al.1 citation
  91. STNDT: Modeling Neural Population Activity with Spatiotemporal Transformers ↗Trung Hiếu Lê, Eli Shlizerman1 citation
  92. Safe Opponent-Exploitation Subgame Refinement ↗Mingyang Liu, Chengjie Wu, Qihan Liu et al.1 citation
  93. Sample-Efficient Learning of Correlated Equilibria in Extensive-Form Games ↗Ziang Song, Song Mei, Yu Bai1 citation
  94. Scalable Infomin Learning ↗Yanzhi Chen, Weihao Sun, Yingzhen Li et al.1 citation
  95. Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees ↗Andrea Tirinzoni, Matteo Papini, Ahmed Touati et al.1 citation
  96. Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations ↗Michael Poli, Winnie Xu, Stefano Massaroli et al.1 citation
  97. Semi-Discrete Normalizing Flows Through Differentiable Tessellation ↗Ricky T. Q. Chen, Brandon Amos, Maximilian Nickel1 citation
  98. Semi-Supervised Generative Models for Multiagent Trajectories ↗Dennis Fassmeyer, Pascal Fassmeyer, Ulf Brefeld1 citation
  99. Sequence-To-Set Generative Models ↗Longtao Tang, Ying Zhou, Yu Yang1 citation
  100. SignRFF: Sign Random Fourier Features ↗Ping Li, Ping Li1 citation

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