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NeurIPS 2022: all accepted papers

2,834 papers · page 18 of 29 · the most cited first · ← NeurIPS 2022

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  1. Washing the Unwashable : On the (Im)possibility of Fairwashing Detection ↗Ali Shahin Shamsabadi, Mohammad Yaghini, Natalie Dullerud et al.3 citations
  2. WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting ↗Youngin Cho, Daejin Kim, Dongmin Kim et al.3 citations
  3. Weighted Distillation with Unlabeled Examples ↗Fotis Iliopoulos, Vasilis Kontonis, Cenk Baykal et al.3 citations
  4. Whitening Convergence Rate of Coupling-Based Normalizing Flows ↗Felix Draxler, Christoph Schnörr, Ullrich Köthe3 citations
  5. You Only Live Once: Single-Life Reinforcement Learning ↗Annie Chen, Archit Sharma, Sergey Levine et al.3 citations
  6. Your Out-Of-Distribution Detection Method is Not Robust! ↗Mohammad Azizmalayeri, Arshia Soltani Moakhar, Arman Zarei et al.3 citations
  7. Zero-Shot Transfer Learning Within a Heterogeneous Graph Via Knowledge Transfer Networks ↗Minji Yoon, John Palowitch, Dustin Zelle et al.3 citations
  8. (De-)Randomized Smoothing for Decision Stump Ensembles ↗Miklós Z. Horváth, Mark Niklas Müller, Marc Fischer et al.2 citations
  9. A Best-Of-Both-Worlds Algorithm for Bandits with Delayed Feedback ↗Saeed Masoudian, Julian Zimmert, Yevgeny Seldin2 citations
  10. A Causal Analysis of Harm ↗Sander Beckers, Hana Chockler, Joseph Yehuda Halpern2 citations
  11. A Damped Newton Method Achieves Global O (1/k2) and Local Quadratic Convergence Rate ↗Slavomír Hanzely, Dmitry Kamzolov, Dmitry Arkad'evich Pasechnyuk et al.2 citations
  12. A Fast Scale-Invariant Algorithm for Non-Negative Least Squares with Non-Negative Data ↗Jelena Diakonikolas, LI Cheng-hui, Swati Padmanabhan et al.2 citations
  13. A General Approximation Lower Bound in Lp Norm, with Applications to Feed-Forward Neural Networks ↗El Mehdi Achour, Armand Foucault, Sébastien Gerchinovitz et al.2 citations
  14. A Lower Bound of Hash Codes' Performance ↗Xiaosu Zhu, Jingkuan Song, Yu Lei et al.2 citations
  15. A Mixture of Surprises for Unsupervised Reinforcement Learning ↗Andrew Zhao, Yangguang Li, Yangguang Li et al.2 citations
  16. A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs ↗Fabian Falck, Christopher Williams, Dominic Danks et al.2 citations
  17. A Theoretical View on Sparsely Activated Networks ↗Cenk Baykal, Nishanth Dikkala, Rina Panigrahy‎ et al.2 citations
  18. A Unified Framework for Alternating Offline Model Training and Policy Learning ↗Shentao Yang, Shujian Zhang, Yihao Feng et al.2 citations
  19. A Win-Win Deal: Towards Sparse and Robust Pre-Trained Language Models ↗Yuanxin Liu, Fandong Meng, Zheng Lin et al.2 citations
  20. Accelerating Certified Robustness Training Via Knowledge Transfer ↗Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati2 citations
  21. Active Learning with Safety Constraints ↗Romain Camilleri, Andrew Wagenmaker, Jamie Morgenstern et al.2 citations
  22. Active-Passive SimStereo - Benchmarking the Cross-Generalization Capabilities of Deep Learning-Based Stereo Methods ↗Laurent Valentin Jospin, Allen Antony, Lian Xu et al.2 citations
  23. Adaptive Multi-Stage Density Ratio Estimation for Learning Latent Space Energy-Based Model ↗Zhisheng Xiao, Tian Han2 citations
  24. Adversarial Robustness is at Odds with Lazy Training ↗Yunjuan Wang, Enayat Ullah, Poorya Mianjy et al.2 citations
  25. Algorithms with Prediction Portfolios ↗Michael Dinitz, Sungjin Im, Thomas Lavastida et al.2 citations
  26. Aligning Individual Brains with Fused Unbalanced Gromov Wasserstein ↗Alexis Thual, Quang Huy Tran, Tatiana Zemskova et al.2 citations
  27. Amortized Proximal Optimization ↗Juhan Bae, Paul A. Vicol, Jeff Z. HaoChen et al.2 citations
  28. An Analysis of Ensemble Sampling ↗Chao Qin, Zheng Wen, Xiuyuan Lu et al.2 citations
  29. An Analytical Theory of Curriculum Learning in Teacher-Student Networks ↗Luca Saglietti, Stefano Sarao Mannelli, Andrew Saxe2 citations
  30. Analyzing Data-Centric Properties for Graph Contrastive Learning ↗Puja Trivedi, Ekdeep Singh Lubana, Mark Heimann et al.2 citations
  31. Annihilation of Spurious Minima in Two-Layer ReLU Networks ↗Yossi Arjevani, Michael Field2 citations
  32. Anonymized Histograms in Intermediate Privacy Models ↗Badih Ghazi, Pritish Kamath, Ravi Ranjan Kumar et al.2 citations
  33. Asymptotics of Smoothed Wasserstein Distances in the Small Noise Regime ↗Yunzi Ding, Jonathan Weed2 citations
  34. Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems ↗Akshay Mete, Rahul Singh, Dr. P. Senthil Kumar2 citations
  35. AutoML Two-Sample Test ↗Jonas Kübler, Vincent Stimper, Simon Buchholz et al.2 citations
  36. BagFlip: A Certified Defense Against Data Poisoning ↗Yuhao Zhang, Aws Albarghouthi, Loris D’Antoni2 citations
  37. Batch Multi-Fidelity Active Learning with Budget Constraints ↗Shibo Li, Jeff M. Phillips, Xin Yu et al.2 citations
  38. BayesPCN: A Continually Learnable Predictive Coding Associative Memory ↗Jinsoo Yoo, Frank Wood2 citations
  39. Bayesian Optimistic Optimization: Optimistic Exploration for Model-Based Reinforcement Learning ↗Chenyang Wu, Tianci Li, Zongzhang Zhang et al.2 citations
  40. Benefits of Permutation-Equivariance in Auction Mechanisms ↗Tian Qin, Fengxiang He, Dingfeng Shi et al.2 citations
  41. Beyond L1: Faster and Better Sparse Models with Skglm ↗Quentin Bertrand, Quentin Klopfenstein, Pierre‐Antoine Bannier et al.2 citations
  42. Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations ↗Jeff Z. HaoChen, Colin Wei, Ananya Kumar et al.2 citations
  43. Bounding and Approximating Intersectional Fairness Through Marginal Fairness ↗Mathieu Molina, Patrick Loiseau2 citations
  44. Bridge the Gap Between Architecture Spaces Via a Cross-Domain Predictor ↗Yuqiao Liu, Yehui Tang, Zeqiong Lv et al.2 citations
  45. Byzantine Spectral Ranking ↗Arnhav Datar, Arun Rajkumar, John Augustine2 citations
  46. CAESAR: An Embodied Simulator for Generating Multimodal Referring Expression Datasets ↗Md Mofijul Islam, Reza Mirzaiee, Alexi Gladstone et al.2 citations
  47. Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever ↗Jin Chen, Defu Lian, Yucheng LI et al.2 citations
  48. Causal Discovery in Linear Latent Variable Models Subject to Measurement Error ↗Yuqin Yang, AmirEmad Ghassami, Mohamed Nafea et al.2 citations
  49. Causal Inference with Non-IID Data Using Linear Graphical Models ↗Chi Zhang, Karthika Mohan, Judea Pearl2 citations
  50. Chaotic Dynamics Are Intrinsic to Neural Network Training with SGD ↗Luis Herrmann, Maximilian Granz, Tim Landgraf2 citations
  51. Chefs' Random Tables: Non-Trigonometric Random Features ↗Valerii Likhosherstov, Krzysztof Choromański, Kumar Avinava Dubey et al.2 citations
  52. Class-Dependent Label-Noise Learning with Cycle-Consistency Regularization ↗De Cheng, Yixiong Ning, Nannan Wang et al.2 citations
  53. Co-Modality Graph Contrastive Learning for Imbalanced Node Classification ↗Yiyue Qian, Chunhui Zhang, Yiming Zhang et al.2 citations
  54. Collaborative Learning by Detecting Collaboration Partners ↗Shu Ding, Wei Wang2 citations
  55. Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds ↗Aritra Mitra, Arman Adibi, George J. Pappas et al.2 citations
  56. ComGAN: Unsupervised Disentanglement and Segmentation Via Image Composition ↗Rui Ding, Kehua Guo, Xiangyuan Zhu et al.2 citations
  57. Conditional Diffusion Process for Inverse Halftoning ↗Hao Jiang, Yadong Mu2 citations
  58. Consistent Interpolating Ensembles Via the Manifold-Hilbert Kernel ↗Yutong Wang, Clayton D. Scott2 citations
  59. Constrained Stochastic Nonconvex Optimization with State-Dependent Markov Data ↗Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi2 citations
  60. Continual Learning: A Feature Extraction Formalization, an Efficient Algorithm, and Fundamental Obstructions ↗Binghui Peng, Andrej Risteski2 citations
  61. Contrastive Neural Ratio Estimation ↗B. Miller, Christoph Weniger, Patrick D. Forré2 citations
  62. Cooperative Distribution Alignment Via JSD Upper Bound ↗Wonwoong Cho, Ziyu Gong, David I. Inouye2 citations
  63. Could Giant Pre-Trained Image Models Extract Universal Representations? ↗Yutong Lin, Ze Liu, Zheng Zhang et al.2 citations
  64. DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning ↗Yao Mu, Yuzheng Zhuang, Fei Ni et al.2 citations
  65. Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data ↗Allen Nie, Yannis Flet-Berliac, Deon R. Jordan et al.2 citations
  66. Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding ↗Caizhi Tang, Huiyuan Wang, Xinyu Li et al.2 citations
  67. Decentralized Gossip-Based Stochastic Bilevel Optimization Over Communication Networks ↗Shuoguang Yang, Xuezhou Zhang, Mengdi Wang2 citations
  68. Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems ↗Yanchen Deng, Shufeng Kong, Caihua Liu et al.2 citations
  69. Deep Generalized Schrödinger Bridge ↗Guan-Horng Liu, Tianrong Chen, Oswin So et al.2 citations
  70. Deep Invariant Networks with Differentiable Augmentation Layers ↗Cédric Rommel, Thomas Moreau, Alexandre Gramfort2 citations
  71. DeepTOP: Deep Threshold-Optimal Policy for MDPs and RMABs ↗Khaled Nakhleh, I-Hong Hou2 citations
  72. Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference ↗Richard Grumitt, Biwei Dai, Uroš Seljak2 citations
  73. Dict-TTS: Learning to Pronounce with Prior Dictionary Knowledge for Text-To-Speech ↗Ziyue Jiang, Zhe Su, Zhou Li Zhao et al.2 citations
  74. Differentially Private Covariance Revisited ↗Wei Dong, Yuting Liang, Ke Yi2 citations
  75. Differentially Private Learning with Margin Guarantees ↗Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh2 citations
  76. Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictions ↗Shinsaku Sakaue, Taihei Oki2 citations
  77. Disentangling Transfer in Continual Reinforcement Learning ↗Maciej Wołczyk, Michał Zając, Razvan Pascanu et al.2 citations
  78. Distilled Gradient Aggregation: Purify Features for Input Attribution in the Deep Neural Network ↗Giyoung Jeon, Haedong Jeong, Jaesik Choi2 citations
  79. Distributionally Robust Optimization Via Ball Oracle Acceleration ↗Yair Carmon, Danielle Hausler2 citations
  80. Diversity Vs. Recognizability: Human-Like Generalization in One-Shot Generative Models ↗Victor Boutin, Lakshya Singhal, Xavier Thomas et al.2 citations
  81. EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization ↗Laurent Condat, Kai Yi, Peter Richtárik2 citations
  82. ELIAS: End-To-End Learning to Index and Search in Large Output Spaces ↗Nilesh Gupta, Patrick Chen, Hsiang-Fu Yu et al.2 citations
  83. ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward ↗Zixian Ma, Rose Wang, Li Fei-Fei et al.2 citations
  84. Early Stage Convergence and Global Convergence of Training Mildly Parameterized Neural Networks ↗Mingze Wang, Chao Ma2 citations
  85. Efficiency Ordering of Stochastic Gradient Descent ↗Jie Hu, Vishwaraj Doshi, Do Young Eun2 citations
  86. Efficient Frameworks for Generalized Low-Rank Matrix Bandit Problems ↗Yue Kang, Cho‐Jui Hsieh, Thomas C. M. Lee2 citations
  87. Efficient Phi-Regret Minimization in Extensive-Form Games Via Online Mirror Descent ↗Yu Bai, Chi Jin, Song Mei et al.2 citations
  88. Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models ↗Muyang Li, Ji Lin, Chenlin Meng et al.2 citations
  89. Enabling Detailed Action Recognition Evaluation Through Video Dataset Augmentation ↗Jihoon Chung, Yu Wu, Olga Russakovsky2 citations
  90. Energy-Based Contrastive Learning of Visual Representations ↗Beomsu Kim, Jong Chul Ye2 citations
  91. Evolution of Neural Tangent Kernels Under Benign and Adversarial Training ↗Noel Loo, Ramin Hasani, Alexander Amini et al.2 citations
  92. Explain My Surprise: Learning Efficient Long-Term Memory by Predicting Uncertain Outcomes ↗Artyom Sorokin, Nazar Buzun, Leonid Pugachev et al.2 citations
  93. FACT: Learning Governing Abstractions Behind Integer Sequences ↗Peter Belcak, Ard Kastrati, Flavio Schenker et al.2 citations
  94. Fair Bayes-Optimal Classifiers Under Predictive Parity ↗Xianli Zeng, Edgar Dobriban, Guang Cheng2 citations
  95. Fair Ranking with Noisy Protected Attributes ↗Anay Mehrotra, Nisheeth K. Vishnoi2 citations
  96. Faster Stochastic Algorithms for Minimax Optimization Under Polyak-Lojasiewicz Condition ↗Lesi Chen, Boyuan Yao, Luo Luo2 citations
  97. Federated Submodel Optimization for Hot and Cold Data Features ↗Yucheng Ding, Chaoyue Niu, Fan Wu et al.2 citations
  98. Few-Shot Fast-Adaptive Anomaly Detection ↗Ze Wang, Yipin Zhou, Rui Wang et al.2 citations
  99. Finding Naturally Occurring Physical Backdoors in Image Datasets ↗Emily Wenger, Roma Bhattacharjee, Arjun Nitin Bhagoji et al.2 citations
  100. Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization ↗Luo Luo, Yujun Li, Cheng Chen2 citations

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