NeurIPS 2022: all accepted papers

2,834 papers · page 14 of 29 · the most cited first · ← NeurIPS 2022

Versatile Multi-Stage Graph Neural Network for Circuit Representation ↗Shuwen Yang, Zhihao Yang, Dong Li et al.5 citations
VisFIS: Visual Feature Importance Supervision with Right-For-The-Right-Reason Objectives ↗Zhuofan Ying, Peter Hase, Mohit Bansal5 citations
Weak-Shot Semantic Segmentation Via Dual Similarity Transfer ↗Junjie Chen, Li Niu, Siyuan Zhou et al.5 citations
When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning ↗Annie Xie, Fahim Tajwar, Archit Sharma et al.5 citations
Where Do Models Go Wrong? Parameter-Space Saliency Maps for Explainability ↗Roman Levin, Manli Shu, Eitan Borgnia et al.5 citations
Will Bilevel Optimizers Benefit from Loops ↗Kaiyi Ji, Mingrui Liu, Yingbin Liang et al.5 citations
Zero-Sum Stochastic Stackelberg Games ↗Denizalp Goktas, Sadie Zhao, Amy Greenwald5 citations
ZooD: Exploiting Model Zoo for Out-Of-Distribution Generalization ↗Qishi Dong, Awais Muhammad, Fengwei Zhou et al.5 citations
A Benchmark for Compositional Visual Reasoning ↗Aimen Zerroug, Mohit Vaishnav, Julien Colin et al.4 citations
A Communication-Efficient Algorithm with Linear Convergence for Federated Minimax Learning ↗Zhenyu Sun, Ermin Wei4 citations
A Gradient Sampling Method with Complexity Guarantees for Lipschitz Functions in High and Low Dimensions ↗Damek Davis, Dmitriy Drusvyatskiy, Yin Tat Lee et al.4 citations
A Large Scale Search Dataset for Unbiased Learning to Rank ↗Lixin Zou, Haitao Mao, Xiaokai Chu et al.4 citations
A PAC-Bayesian Generalization Bound for Equivariant Networks ↗Arash Behboodi, Gabriele Cesa, Taco Cohen4 citations
A Permutation-Free Kernel Two-Sample Test ↗Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas4 citations
A Simple Decentralized Cross-Entropy Method ↗Zichen Zhang, Jun Jin, Martin Jägersand et al.4 citations
A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits ↗Jiafan He, Tianhao Wang, Yifei Min et al.4 citations
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-Parameter Tuning ↗Krishnateja Killamsetty, Guttu Sai Abhishek, Aakriti et al.4 citations
Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation ↗Jannik Kossen, Sebastian Farquhar, Yarin Gal et al.4 citations
Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks ↗Jianan Zhou, Jianing Zhu, Jingfeng Zhang et al.4 citations
Adversarial Unlearning: Reducing Confidence Along Adversarial Directions ↗Amrith Setlur, Benjamin Eysenbach, Virginia Smith et al.4 citations
An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context ↗Xiaoyu Chen, Xiangming Zhu, Yufeng Zheng et al.4 citations
An Empirical Study on Disentanglement of Negative-Free Contrastive Learning ↗Jinkun Cao, Ruiqian Nai, Qing Yang et al.4 citations
An Information-Theoretic Framework for Deep Learning ↗Hong Jun Jeon, Benjamin Van Roy4 citations
Analyzing Sharpness Along GD Trajectory: Progressive Sharpening and Edge of Stability ↗Zixuan Wang, Zhouzi Li, Jian Li4 citations
Anticipating Performativity by Predicting from Predictions ↗Celestine Dünner, Frances Ding, Yixin Wang4 citations
Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks ↗Michael Lohaus, Matthäus Kleindeßner, Krishnaram Kenthapadi et al.4 citations
Attention-Based Neural Cellular Automata ↗Mattie Tesfaldet, Derek Nowrouzezahrai, Christopher Pal4 citations
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative ↗Tianxin Wei, Yuning You, Tianlong Chen et al.4 citations
Autoinverse: Uncertainty Aware Inversion of Neural Networks ↗Navid Ansari, Hans‐Peter Seidel, Nima Vahidi Ferdowsi et al.4 citations
Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds ↗Joshua Albrecht, Abraham J. Fetterman, Bryden Fogelman et al.4 citations
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization ↗Hui Yuan, Chengzhuo Ni, Huazheng Wang et al.4 citations
BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons ↗Yixing Xu, Xinghao Chen, Yunhe Wang4 citations
BigBio: A Framework for Data-Centric Biomedical Natural Language Processing ↗Jason Fries, Leon Weber, Natasha Seelam et al.4 citations
Black-Box Generalization: Stability of Zeroth-Order Learning ↗Konstantinos E. Nikolakakis, Farzin Haddadpour, Dionysis Kalogerias et al.4 citations
CageNeRF: Cage-Based Neural Radiance Field for Generalized 3D Deformation and Animation ↗Yuhao Cheng, Yichao Yan, Shengqi Liu et al.4 citations
Causal Identification Under Markov Equivalence: Calculus, Algorithm, and Completeness ↗Amin Jaber, Adèle H. Ribeiro, Jiji Zhang et al.4 citations
Certifying Some Distributional Fairness with Subpopulation Decomposition ↗Mintong Kang, Linyi Li, Maurice Weber et al.4 citations
Chain of Thought Imitation with Procedure Cloning ↗Mengjiao Sherry Yang, Dale Schuurmans, Pieter Abbeel et al.4 citations
Characterizing Datapoints Via Second-Split Forgetting ↗Pratyush Maini, Saurabh Garg, Zachary C. Lipton et al.4 citations
CoNSoLe: Convex Neural Symbolic Learning ↗Haoran Li, Yang Weng, Hanghang Tong4 citations
Coded Residual Transform for Generalizable Deep Metric Learning ↗Shichao Kan, Yixiong Liang, Min Li et al.4 citations
Communicating Natural Programs to Humans and Machines ↗Sam Acquaviva, Yewen Pu, Marta Kryven et al.4 citations
Composite Feature Selection Using Deep Ensembles ↗Fergus Imrie, Alexander Norcliffe, Pietro Liò et al.4 citations
Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs ↗Dongruo Zhou, Quanquan Gu4 citations
Confidence-Based Reliable Learning Under Dual Noises ↗Peng Cui, Yang Yue, Zhijie Deng et al.4 citations
Conformal Off-Policy Prediction in Contextual Bandits ↗Muhammad Faaiz Taufiq, Jean-François Ton, Rob Cornish et al.4 citations
Conformalized Fairness Via Quantile Regression ↗Meichen Liu, Lei Ding, Dengdeng Yu et al.4 citations
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder ↗Qi Tian, Kun Kuang, Kelu Jiang et al.4 citations
Consistency of Constrained Spectral Clustering Under Graph Induced Fair Planted Partitions ↗Shubham Gupta, Ambedkar Dukkipati4 citations
Contextual Squeeze-And-Excitation for Efficient Few-Shot Image Classification ↗Massimiliano Patacchiola, John F. Bronskill, Aliaksandra Shysheya et al.4 citations
Contrastive Intrinsic Control for Unsupervised Reinforcement Learning ↗Michael Laskin, Hao Liu, Xue Bin Peng et al.4 citations
Controlled Sparsity Via Constrained Optimization Or: How I Learned to Stop Tuning Penalties and Love Constraints ↗Jose Gallego-Posada, Juan Ramirez, Akram Erraqabi et al.4 citations
Cost-Efficient Gaussian Tensor Network Embeddings for Tensor-Structured Inputs ↗Linjian Ma, Edgar Solomonik4 citations
DNA: Proximal Policy Optimization with a Dual Network Architecture ↗Matthew Aitchison, Penny Sweetser4 citations
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients Via Secret Data Sharing ↗Jiawei Shao, Yuchang Sun, Songze Li et al.4 citations
Decentralized Training of Foundation Models in Heterogeneous Environments ↗Binhang Yuan, Yongjun He, Jared Quincy Davis et al.4 citations
Decision-Based Black-Box Attack Against Vision Transformers Via Patch-Wise Adversarial Removal ↗Yucheng Shi, Yahong Han, Yu‐an Tan et al.4 citations
Deconfounded Representation Similarity for Comparison of Neural Networks ↗Tianyu Cui, Yogesh Kumar, Pekka Marttinen et al.4 citations
Deep Combinatorial Aggregation ↗Yuesong Shen, Daniel Cremers4 citations
Deep Compression of Pre-Trained Transformer Models ↗Naigang Wang, Chi-Chun Charlie Liu, Swagath Venkataramani et al.4 citations
Deep Learning Methods for Proximal Inference Via Maximum Moment Restriction ↗Benjamin Kompa, David R. Bellamy, Tom Kolokotrones et al.4 citations
Differentially Private Generalized Linear Models Revisited ↗Raman Arora, Raef Bassily, Cristóbal Guzmán et al.4 citations
Differentially Private Model Compression ↗Fatemehsadat Mireshghallah, Artūrs Bačkurs, Huseyin A. Inan et al.4 citations
Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees ↗Aleksandr Nikolaevich Beznosikov, Peter Richtárik, Michael Diskin et al.4 citations
Distributed Online Convex Optimization with Compressed Communication ↗Zhipeng Tu, Xi Wang, Yiguang Hong et al.4 citations
Distribution-Informed Neural Networks for Domain Adaptation Regression ↗Jun Wu, Jingrui He, Sheng Wang et al.4 citations
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning ↗Jifeng Hu, Yanchao Sun, Hechang Chen et al.4 citations
Dual-Discriminative Graph Neural Network for Imbalanced Graph-Level Anomaly Detection ↗Ge Zhang, Zhenyu Yang, Jia Wu et al.4 citations
Empirical Phase Diagram for Three-Layer Neural Networks with Infinite Width ↗Hanxu Zhou, Zhou Qixuan, Zhenyuan Jin et al.4 citations
Enhanced Bilevel Optimization Via Bregman Distance ↗Feihu Huang, Junyi Li, Shangqian Gao et al.4 citations
Entropy-Driven Mixed-Precision Quantization for Deep Network Design ↗Zhenhong Sun, Ce Ge, Junyan Wang et al.4 citations
Environment Diversification with Multi-Head Neural Network for Invariant Learning ↗Bo‐Wei Huang, Keng-Te Liao, Chang-Sheng Kao et al.4 citations
Error Analysis of Tensor-Train Cross Approximation ↗Zhen Qin, Alexander Lidiak, Zhexuan Gong et al.4 citations
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability ↗Peisong Wen, Qianqian Xu, Zhiyong Yang et al.4 citations
Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks ↗Anders Aamand, Justin Y. Chen, Piotr Indyk et al.4 citations
Factorized-FL: Personalized Federated Learning with Parameter Factorization & Similarity Matching ↗Wonyong Jeong, Sung Ju Hwang4 citations
Fairness Transferability Subject to Bounded Distribution Shift ↗Yatong Chen, Reilly Raab, Jialu Wang et al.4 citations
Fairness Without Demographics Through Knowledge Distillation ↗Junyi Chai, Taeuk Jang, Xiaoqian Wang4 citations
Finite-Time Last-Iterate Convergence for Learning in Multi-Player Games ↗Yang Cai, Argyris Oikonomou, Weiqiang Zheng4 citations
Friendly Noise Against Adversarial Noise: A Powerful Defense Against Data Poisoning Attack ↗Tian Yu Liu, Yu Yang, Baharan Mirzasoleiman4 citations
Generalized Delayed Feedback Model with Post-Click Information in Recommender Systems ↗Jiaqi Yang, De-Chuan Zhan4 citations
Generalized Laplacian Eigenmaps ↗Hao Zhu, Piotr Koniusz4 citations
Generative Multitask Learning Mitigates Target-Causing Confounding ↗Taro Makino, Krzysztof Geras, Kyunghyun Cho4 citations
Geo-SIC: Learning Deformable Geometric Shapes in Deep Image Classifiers ↗Jian Wang, Miaomiao Zhang4 citations
Group Meritocratic Fairness in Linear Contextual Bandits ↗Riccardo Grazzi, Arya Akhavan, Isak Falk et al.4 citations
Hard ImageNet: Segmentations for Objects with Strong Spurious Cues ↗Mazda Moayeri, Sahil Singla, Soheil Feizi4 citations
Heterogeneous Skill Learning for Multi-Agent Tasks ↗Yuntao Liu, Yuan Li, Xinhai Xu et al.4 citations
Hierarchical Channel-Spatial Encoding for Communication-Efficient Collaborative Learning ↗Qihua Zhou, Song Guo, Xun Liu et al.4 citations
Hierarchical Normalization for Robust Monocular Depth Estimation ↗Chi Zhang, Wei Yin, Billzb Wang et al.4 citations
How Would the Viewer Feel? Estimating Wellbeing from Video Scenarios ↗Mantas Mazeika, Eric Tang, Andy Zou et al.4 citations
How to Talk So AI Will Learn: Instructions, Descriptions, and Autonomy ↗Theodore R. Sumers, Robert Hawkins, Mark Ho et al.4 citations
Human-AI Shared Control Via Policy Dissection ↗Quanyi Li, Zhenghao Peng, Haibin Wu et al.4 citations
Hybrid Neural Autoencoders for Stimulus Encoding in Visual and Other Sensory Neuroprostheses ↗Jacob Granley, Lucas Relic, Michael Beyeler4 citations
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This? ↗Henry Kvinge, Tegan Emerson, Grayson Jorgenson et al.4 citations
Inducing Equilibria Via Incentives: Simultaneous Design-And-Play Ensures Global Convergence ↗Boyi Liu, Jiayang Li, Zhuoran Yang et al.4 citations
Information-Theoretic Safe Exploration with Gaussian Processes ↗Alessandro G. Bottero, Carlos E. Luis, Julia Vinogradska et al.4 citations
Instance-Optimal PAC Algorithms for Contextual Bandits ↗Zhaoqi Li, Lillian J. Ratliff, Houssam Nassif et al.4 citations
Interventions, Where and How? Experimental Design for Causal Models at Scale ↗Panagiotis Tigas, Yashas Annadani, Andrew Jesson et al.4 citations
Kantorovich Strikes Back! Wasserstein GANs Are Not Optimal Transport? ↗Alexander Korotin, Alexander Kolesov, Evgeny Vladimirovich Burnaev4 citations
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward ↗Daejin Jo, Jongmin Kim, Daniel Wontae Nam et al.4 citations

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📰 NeurIPS 2022: all accepted papers

NeurIPS 2022: all accepted papers