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NeurIPS 2022: all accepted papers

2,834 papers · page 22 of 29 · the most cited first · ← NeurIPS 2022

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  1. Explainability Via Causal Self-Talk ↗Nicholas Roy, Junkyung Kim, Neil C. Rabinowitz1 citation
  2. Exploration Via Planning for Information About the Optimal Trajectory ↗Viraj Mehta, Ian Char, Joseph Abbate et al.1 citation
  3. Exploring Through Random Curiosity with General Value Functions ↗Aditya A. Ramesh, Louis Kirsch, Sjoerd van Steenkiste et al.1 citation
  4. Exponential Separations in Symmetric Neural Networks ↗Aaron Zweig, Joan Bruna1 citation
  5. Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: A Polynomial Net Study ↗Yongtao Wu, Zhenyu Zhu, Fanghui Liu et al.1 citation
  6. Fair Wrapping for Black-Box Predictions ↗Alexander Soen, Ibrahim Alabdulmohsin, Sanmi Koyejo et al.1 citation
  7. Falsification Before Extrapolation in Causal Effect Estimation ↗Zeshan Hussain, Michael Oberst, Ming‐Chieh Shih et al.1 citation
  8. Fast Bayesian Coresets Via Subsampling and Quasi-Newton Refinement ↗Cian Naik, Judith Rousseau, Trevor Campbell1 citation
  9. Fast Bayesian Estimation of Point Process Intensity as Function of Covariates ↗Hideaki Kim, Taichi Asami, Hiroyuki Toda1 citation
  10. Fast Instrument Learning with Faster Rates ↗Ziyu Wang, Yuhao Zhou, Jun Zhu1 citation
  11. Fast Mixing of Stochastic Gradient Descent with Normalization and Weight Decay ↗Zhiyuan Li, Tianhao Wang, Dingli Yu1 citation
  12. Faster Deep Reinforcement Learning with Slower Online Network ↗Kavosh Asadi, Rasool Fakoor, Omer Gottesman et al.1 citation
  13. Faster Linear Algebra for Distance Matrices ↗Piotr Indyk, Sandeep Silwal1 citation
  14. FedPop: A Bayesian Approach for Personalised Federated Learning ↗Nikita Kotelevskii, Maxime Vono, Alain Durmus et al.1 citation
  15. Few-Shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion ↗Atsutoshi Kumagai, Tomoharu Iwata, Yasutoshi Ida et al.1 citation
  16. Finding and Listing Front-Door Adjustment Sets ↗Hyunchai Jeong, Jin Wen Tian, Elias Bareinboim1 citation
  17. Finite-Sample Maximum Likelihood Estimation of Location ↗Shivam Gupta, Jasper Lee, Eric Price et al.1 citation
  18. Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks ↗Tao Sun, Dongsheng Li, Bao Wang1 citation
  19. Flowification: Everything is a Normalizing Flow ↗Bálint Máté, Samuel Klein, Tobias Golling et al.1 citation
  20. FlyView: A Bio-Informed Optical Flow Truth Dataset for Visual Navigation Using Panoramic Stereo Vision ↗Alix Leroy, Graham Taylor1 citation
  21. Frank-Wolfe-Based Algorithms for Approximating Tyler's M-Estimator ↗Lior Danon, Dan Garber1 citation
  22. Fuzzy Learning Machine ↗Junbiao Cui, Jiye Liang1 citation
  23. GAGA: Deciphering Age-Path of Generalized Self-Paced Regularizer ↗Bin Gu, Diyang Li, Xiaohan Zhao et al.1 citation
  24. GAR: Generalized Autoregression for Multi-Fidelity Fusion ↗Yuxin Wang, Zheng Xing, Wei Xing1 citation
  25. Generalised Mutual Information for Discriminative Clustering ↗Louis Ohl, Pierre‐Alexandre Mattei, Charles Bouveyron et al.1 citation
  26. Generalization Bounds for Stochastic Gradient Descent Via Localized e-Covers ↗Sejun Park, Umut Simsekli, Murat A. Erdogdu1 citation
  27. Generalization Error Bounds on Deep Learning with Markov Datasets ↗Lan V. Truong1 citation
  28. Generalization for Multiclass Classification with Overparameterized Linear Models ↗Vignesh Subramanian, Rahul Arya, Anant Sahai1 citation
  29. Generalized Variational Inference in Function Spaces: Gaussian Measures Meet Bayesian Deep Learning ↗Veit Wild, Robert Hu, Dino Sejdinović1 citation
  30. Get More at Once: Alternating Sparse Training with Gradient Correction ↗Li Yang, Jian Meng, Jae-sun Seo et al.1 citation
  31. Giga-Scale Kernel Matrix-Vector Multiplication on GPU ↗Robert Hu, Siu Lun Chau, Dino Sejdinović et al.1 citation
  32. Gradient Flow Dynamics of Shallow ReLU Networks for Square Loss and Orthogonal Inputs ↗Étienne Boursier, Loucas Pillaud‐Vivien, Nicolas Flammarion1 citation
  33. Graph Neural Network Bandits ↗Parnian Kassraie, Andreas Krause, Ilija Bogunovic1 citation
  34. HSDF: Hybrid Sign and Distance Field for Modeling Surfaces with Arbitrary Topologies ↗Li Wang, Jie Yang, Weikai Chen et al.1 citation
  35. Hamiltonian Latent Operators for Content and Motion Disentanglement in Image Sequences ↗Asif Khan, AMOS J. STORKEY1 citation
  36. High-Dimensional Additive Gaussian Processes Under Monotonicity Constraints ↗Andrés F. López-Lopera, François Bachoc, Olivier Roustant1 citation
  37. House of Cans: Covert Transmission of Internal Datasets Via Capacity-Aware Neuron Steganography ↗Xudong Pan, Shengyao Zhang, Mi Zhang et al.1 citation
  38. Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights ↗Konstantin Schürholt, Boris A. Knyazev, Xavier Giró-i-Nieto et al.1 citation
  39. Identifying Good Directions to Escape the NTK Regime and Efficiently Learn Low-Degree Plus Sparse Polynomials ↗Eshaan Nichani, Yu Bai, Jason D. Lee1 citation
  40. Improved Convergence Rate of Stochastic Gradient Langevin Dynamics with Variance Reduction and Its Application to Optimization ↗Yuri Kinoshita, Taiji Suzuki1 citation
  41. Improved Imaging by Invex Regularizers with Global Optima Guarantees ↗Samuel Pinilla, Tingting Mu, Neil K. Bourne et al.1 citation
  42. Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs ↗Yeoneung Kim, Insoon Yang, Kwang-Sung Jun1 citation
  43. Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class ↗Guan Gui, Zhen Zhao, Lei Qi et al.1 citation
  44. Improving Generative Adversarial Networks Via Adversarial Learning in Latent Space ↗Yang Li, Yichuan Mo, Liangliang Shi et al.1 citation
  45. Improving Transformer with an Admixture of Attention Heads ↗Tan Nguyen, Tam Nguyen, Hai Do et al.1 citation
  46. Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces ↗Leonard Papenmeier, Luigi Nardi, Matthias Poloczek1 citation
  47. Inference and Sampling for Archimax Copulas ↗Yuting Ng, Ali Hasan, Vahid Tarokh1 citation
  48. Information-Theoretic GAN Compression with Variational Energy-Based Model ↗Minsoo Kang, Hyewon 유혜원Yoo, Eunhee Kang et al.1 citation
  49. Intrinsic Dimensionality Estimation Using Normalizing Flows ↗Christian Horvat, Jean-Pascal Pfister1 citation
  50. JAHS-Bench-201: A Foundation for Research on Joint Architecture and Hyperparameter Search ↗Archit Bansal, Danny Stoll, Maciej Janowski et al.1 citation
  51. Jump Self-Attention: Capturing High-Order Statistics in Transformers ↗Haoyi Zhou, Siyang Xiao, Shanghang Zhang et al.1 citation
  52. Kernel Interpolation with Sparse Grids ↗Mohit Yadav, Daniel R. Sheldon, Cameron Musco1 citation
  53. Kernel Similarity Matching with Hebbian Networks ↗Kyle Luther, H. Sebastian Seung1 citation
  54. LBD: Decouple Relevance and Observation for Individual-Level Unbiased Learning to Rank ↗Mouxiang Chen, Chenghao Liu, Zemin Liu et al.1 citation
  55. Large-Batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes ↗Zeyue Xue, Jianming Liang, Guanglu Song et al.1 citation
  56. Last-Iterate Convergence of Optimistic Gradient Method for Monotone Variational Inequalities ↗Eduard Gorbunov, Adrien Taylor, Gauthier Gidel1 citation
  57. Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets ↗Yifei Min, Tianhao Wang, Ruitu Xu et al.1 citation
  58. Learning Contrastive Embedding in Low-Dimensional Space ↗Shuo Chen, Chen Gong, Jun Li et al.1 citation
  59. Learning Deep Input-Output Stable Dynamics ↗Ryosuke Kojima, Yuji Okamoto1 citation
  60. Learning Dense Object Descriptors from Multiple Views for Low-Shot Category Generalization ↗Stefan Stojanov, Anh Thai, Zixuan Huang et al.1 citation
  61. Learning Distinct and Representative Modes for Image Captioning ↗Qi Chen, Chaorui Deng, Qi Wu1 citation
  62. Learning Energy Networks with Generalized Fenchel-Young Losses ↗Mathieu Blondel, Felipe Llinares-López, Robert Dadashi et al.1 citation
  63. Learning General World Models in a Handful of Reward-Free Deployments ↗Yingchen Xu, Jack Parker-Holder, Aldo Pacchiano et al.1 citation
  64. Learning Infinite-Horizon Average-Reward Restless Multi-Action Bandits Via Index Awareness ↗Guojun Xiong, Shufan Wang, Jian Li1 citation
  65. Learning Mixed Multinomial Logits with Provable Guarantees ↗Yiqun Hu, David Simchi‐Levi, Zhenzhen Yan1 citation
  66. Learning Optimal Flows for Non-Equilibrium Importance Sampling ↗Yu Cao, Eric Vanden-Eijnden1 citation
  67. Learning Predictions for Algorithms with Predictions ↗Misha Khodak, Maria-Florina Balcan, Ameet Talwalkar et al.1 citation
  68. Learning Probabilistic Models from Generator Latent Spaces with Hat EBM ↗Mitch Hill, Erik Nijkamp, Jonathan L. Mitchell et al.1 citation
  69. Learning Representations Via a Robust Behavioral Metric for Deep Reinforcement Learning ↗Jianda Chen, Sinno Jialin Pan1 citation
  70. Learning Symmetric Rules with SATNet ↗Sangho Lim, Eun-Gyeol Oh, Hongseok Yang1 citation
  71. Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales ↗Tao Liu, Dr. P. Senthil Kumar, Ruida Zhou et al.1 citation
  72. Learning the Structure of Large Networked Systems Obeying Conservation Laws ↗Anirudh Rayas, Rajasekhar Anguluri, Gautam Dasarathy1 citation
  73. Learning to Generate Inversion-Resistant Model Explanations ↗Hoyong Jeong, Suyoung Lee, Sung Ju Hwang et al.1 citation
  74. Learning with Convolution and Pooling Operations in Kernel Methods ↗Theodor Misiakiewicz, Song Mei1 citation
  75. Lethal Dose Conjecture on Data Poisoning ↗Wenxiao Wang, Alexander Levine, Soheil Feizi1 citation
  76. Leveraging Inter-Layer Dependency for Post -Training Quantization ↗Changbao Wang, Dandan Zheng, Yuanliu Liu et al.1 citation
  77. Lifting Weak Supervision to Structured Prediction ↗Harit Vishwakarma, Frédéric Sala1 citation
  78. Lipschitz Bandits with Batched Feedback ↗Yasong Feng, Zengfeng Huang, Tianyu Wang1 citation
  79. Listen to Interpret: Post-Hoc Interpretability for Audio Networks with NMF ↗Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi et al.1 citation
  80. Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions ↗Haanvid Lee, Jongmin Lee, Yunseon Choi et al.1 citation
  81. MBW: Multi-View Bootstrapping in the Wild ↗Mosam Dabhi, Chaoyang Wang, Tim Clifford et al.1 citation
  82. MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction ↗Jorge Quesada, Lakshmi Sathidevi, Ran Liu et al.1 citation
  83. Maximum Class Separation as Inductive Bias in One Matrix ↗Tejaswi Kasarla, Gertjan J. Burghouts, Max van Spengler et al.1 citation
  84. Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks ↗Indradyumna Roy, Soumen Chakrabarti, Abir De1 citation
  85. Maximum Likelihood Training of Implicit Nonlinear Diffusion Model ↗Dongjun Kim, Byeonghu Na, Se Jung Kwon et al.1 citation
  86. Measures of Information Reflect Memorization Patterns ↗Rachit Bansal, Danish Pruthi, Yonatan Belinkov1 citation
  87. Memorization and Optimization in Deep Neural Networks with Minimum Over-Parameterization ↗Simone Bombari, Mohammad Hossein Amani, Marco Mondelli1 citation
  88. Meta-Complementing the Semantics of Short Texts in Neural Topic Models ↗Delvin Ce Zhang, Hady W. Lauw1 citation
  89. Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-Based Reinforcement Learning ↗Runze Liu, Fengshuo Bai, Yali Du et al.1 citation
  90. MetaTeacher: Coordinating Multi-Model Domain Adaptation for Medical Image Classification ↗Zhenbin Wang, Mao Ye, Xiatian Zhu et al.1 citation
  91. Minimax Optimal Online Imitation Learning Via Replay Estimation ↗Gokul Swamy, Nived Rajaraman, Matt Peng et al.1 citation
  92. Model-Based Lifelong Reinforcement Learning with Bayesian Exploration ↗Haotian Fu, Shangqun Yu, Michael L. Littman et al.1 citation
  93. Module-Aware Optimization for Auxiliary Learning ↗Hong Chen, Xin Eric Wang, Yue Liu et al.1 citation
  94. Monte Carlo Tree Descent for Black-Box Optimization ↗Yaoguang Zhai, Sicun Gao1 citation
  95. MorphTE: Injecting Morphology in Tensorized Embeddings ↗Guobing Gan, Peng Zhang, Xiuqing Lu et al.1 citation
  96. Multi-Agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents ↗Qiang Li, Chung-Yiu Yau, Hoi To Wai1 citation
  97. Multi-Block Min-Max Bilevel Optimization with Applications in Multi-Task Deep AUC Maximization ↗Quanqi Hu, Yongjian Zhong, Tianbao Yang1 citation
  98. Multi-Fidelity Monte Carlo: A Pseudo-Marginal Approach ↗Diana Cai, Ryan Adams1 citation
  99. Multi-Layer State Evolution Under Random Convolutional Design ↗Max Daniels, Cédric Gerbelot, Florent Krząkała et al.1 citation
  100. Multi-Sample Training for Neural Image Compression ↗Tongda Xu, Yan Wang, Dailan He et al.1 citation

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