NeurIPS 2022: all accepted papers

2,834 papers · page 15 of 29 · the most cited first · ← NeurIPS 2022

Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks ↗Renán A. Rojas-Gómez, Teck-Yian Lim, Alexander Gerhard Schwing et al.4 citations
Learning to Discover and Detect Objects ↗Vladimir Fomenko, Ismail Elezi, Deva Ramanan et al.4 citations
Local-Global MCMC Kernels: The Best of Both Worlds ↗Sergey Samsonov, Evgeny Lagutin, Marylou Gabrié et al.4 citations
Log-Linear-Time Gaussian Processes Using Binary Tree Kernels ↗Michael K. Cohen, Samuel Daulton, Michael A Osborne4 citations
Look More but Care Less in Video Recognition ↗Yitian Zhang, Yue Bai, Huan Wang et al.4 citations
MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control ↗Xuehai Pan, Mickel Liu, Fangwei Zhong et al.4 citations
M^4I: Multi-Modal Models Membership Inference ↗Pingyi Hu, Zihan Wang, Ruoxi Sun et al.4 citations
Maximizing and Satisficing in Multi-Armed Bandits with Graph Information ↗Parth Thaker, Mohit Malu, Nikhil Rao et al.4 citations
Meta-Album: Multi-Domain Meta-Dataset for Few-Shot Image Classification ↗Ihsan Ullah, Dustin Carrión-Ojeda, Sérgio Escalera et al.4 citations
Minimax Regret for Cascading Bandits ↗Daniel Vial, Sujay Sanghavi, Sanjay Shakkottai et al.4 citations
Mining Multi-Label Samples from Single Positive Labels ↗Youngin Cho, Daejin Kim, Mohammad Azam Khan et al.4 citations
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL ↗Benjamin Eysenbach, Alexander Khazatsky, Sergey Levine et al.4 citations
Multi-Block-Single-Probe Variance Reduced Estimator for Coupled Compositional Optimization ↗Wei Jiang, Gang Li, Yibo Wang et al.4 citations
Multi-Dataset Training of Transformers for Robust Action Recognition ↗Junwei Liang, Enwei Zhang, Jun Zhang et al.4 citations
Multi-Objective Deep Learning with Adaptive Reference Vectors ↗Weiyu CHEN, James Tin-Yau Kwok4 citations
MultiGuard: Provably Robust Multi-Label Classification Against Adversarial Examples ↗Jinyuan Jia, Wenjie Qu, Neil Gong4 citations
NUWA-Infinity: Autoregressive Over Autoregressive Generation for Infinite Visual Synthesis ↗Jian Liang, Chenfei Wu, Xiaowei Hu et al.4 citations
Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions ↗Jiafan He, Dongruo Zhou, Tong Zhang et al.4 citations
Neur2SP: Neural Two-Stage Stochastic Programming ↗Rahul Mihir Patel, Justin Dumouchelle, Elias B. Khalil et al.4 citations
Neural Circuit Architectural Priors for Embodied Control ↗Nikhil Xie Bhattasali, Anthony M. Zador, Tatiana A. Engel4 citations
Off-Policy Evaluation for Action-Dependent Non-Stationary Environments ↗Yash Chandak, Shiv Shankar, Nathaniel Bastian et al.4 citations
On the Complexity of Adversarial Decision Making ↗Dylan J. Foster, Alexander Rakhlin, Ayush Sekhari et al.4 citations
On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond ↗Shiji Zhou, Wenpeng Zhang, Jiyan Jiang et al.4 citations
On the Double Descent of Random Features Models Trained with SGD ↗Fanghui Liu, Johan A. K. Suykens, Volkan Cevher4 citations
On the Generalizability and Predictability of Recommender Systems ↗Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde et al.4 citations
One Model to Edit Them All: Free-Form Text-Driven Image Manipulation with Semantic Modulations ↗Yiming Zhu, Hongyu Liu, Yibing Song et al.4 citations
Open-Ended Reinforcement Learning with Neural Reward Functions ↗Robert Meier, Asier Mujika4 citations
Optimal Weak to Strong Learning ↗Kasper Green Larsen, Martin Ritzert4 citations
Optimal and Adaptive Monteiro-Svaiter Acceleration ↗Yair Carmon, Danielle Hausler, Arun Jambulapati et al.4 citations
PALBERT: Teaching ALBERT to Ponder ↗Nikita Balagansky, Daniil Gavrilov4 citations
Personalized Online Federated Learning with Multiple Kernels ↗Pouya M. Ghari, Yanning Shen4 citations
Policy Optimization for Markov Games: Unified Framework and Faster Convergence ↗Runyu Zhang, Qinghua Liu, Huan Wang et al.4 citations
Positively Weighted Kernel Quadrature Via Subsampling ↗Satoshi Hayakawa, Harald Oberhauser, Terry Lyons4 citations
Pre-Activation Distributions Expose Backdoor Neurons ↗Runkai Zheng, Rongjun Tang, Jianze Li et al.4 citations
Private Set Generation with Discriminative Information ↗Dingfan Chen, Raouf Kerkouche, Mario Fritz4 citations
Probabilistic Missing Value Imputation for Mixed Categorical and Ordered Data ↗Yuxuan Zhao, Alex Townsend, Madeleine Udell4 citations
ProtoX: Explaining a Reinforcement Learning Agent Via Prototyping ↗Ronilo Ragodos, Tong Wang, Qihang Lin et al.4 citations
RISE: Robust Individualized Decision Learning with Sensitive Variables ↗Xiaoqing Tan, Zhengling Qi, Christopher Seymour et al.4 citations
Reconstruction on Trees and Low-Degree Polynomials ↗Frederic Koehler, Elchanan Mossel4 citations
Rethinking Value Function Learning for Generalization in Reinforcement Learning ↗Seungyong Moon, JunYeong Lee, Hyun Oh Song4 citations
Rethinking and Improving Robustness of Convolutional Neural Networks: A Shapley Value-Based Approach in Frequency Domain ↗Yiting Chen, Qibing Ren, Junchi Yan4 citations
Retrospective Adversarial Replay for Continual Learning ↗Lilly Kumari, Shengjie Wang, Tianyi Zhou et al.4 citations
Robustness in Deep Learning: The Good (width), the Bad (depth), and the Ugly (initialization) ↗Zhenyu Zhu, Fanghui Liu, Grigorios G. Chrysos et al.4 citations
SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems ↗Xuan Zhang, Necdet Serhat Aybat, Mert Gürbüzbalaban4 citations
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments ↗Mohan Zhang, Xiaozhou Wang, Benjamin Decardi‐Nelson et al.4 citations
Sample Constrained Treatment Effect Estimation ↗Raghavendra Addanki, David Arbour, Tung Mai et al.4 citations
Score-Based Diffusion Meets Annealed Importance Sampling ↗Arnaud Doucet B, Will Grathwohl, Alexander Matthews et al.4 citations
Self-Aware Personalized Federated Learning ↗Huili Chen, Jie Ding, Eric W. Tramel et al.4 citations
SeqPATE: Differentially Private Text Generation Via Knowledge Distillation ↗Zhiliang Tian, Yingxiu Zhao, Ziyue Huang et al.4 citations
Sequential Information Design: Learning to Persuade in the Dark ↗Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi et al.4 citations
Single Loop Gaussian Homotopy Method for Non-Convex Optimization ↗Hidenori Iwakiri, Yuhang Wang, Shinji Ito et al.4 citations
Single-Phase Deep Learning in Cortico-Cortical Networks ↗Will Greedy, Heng Wei Zhu, Joseph Pemberton et al.4 citations
Spectrum Random Masking for Generalization in Image-Based Reinforcement Learning ↗Yangru Huang, Peixi Peng, Yifan Zhao et al.4 citations
Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks ↗Yunwen Lei, Rong Jin, Yiming Ying4 citations
Stimulative Training of Residual Networks: A Social Psychology Perspective of Loafing ↗Peng Ye, Shengji Tang, Baopu Li et al.4 citations
Subquadratic Kronecker Regression with Applications to Tensor Decomposition ↗Matthew Fahrbach, Gang Fu, Mehrdad Ghadiri4 citations
TA-MoE: Topology-Aware Large Scale Mixture-Of-Expert Training ↗Chang Chen, Min Li, Zhihua Wu et al.4 citations
TaSIL: Taylor Series Imitation Learning ↗Daniel Pfrommer, Thomas Zhang, Stephen Tu et al.4 citations
Task-Agnostic Graph Explanations ↗Yaochen Xie, Sumeet Katariya, Xianfeng Tang et al.4 citations
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes ↗Peter Kocsis, Peter Súkeník, Guillem Brasó et al.4 citations
Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers ↗Albert Qiaochu Jiang, Wenda Li, Szymon Tworkowski et al.4 citations
TokenMixup: Efficient Attention-Guided Token-Level Data Augmentation for Transformers ↗Hyeong Kyu Choi, Joonmyung Choi, Hyunwoo Kim4 citations
Transform Once: Efficient Operator Learning in Frequency Domain ↗Michael Poli, Stefano Massaroli, Federico Berto et al.4 citations
Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks ↗Ching-Yao Chuang, Stefanie Jegelka4 citations
TreeMoCo: Contrastive Neuron Morphology Representation Learning ↗Hanbo Chen, Jiawei Yang, Daniel Maxim Iascone et al.4 citations
Truncated Matrix Power Iteration for Differentiable DAG Learning ↗Zhen Zhang, Dong Gong, Dong Gong et al.4 citations
UMIX: Improving Importance Weighting for Subpopulation Shift Via Uncertainty-Aware Mixup ↗Zongbo Han, Zhipeng Liang, Fan Yang et al.4 citations
Uncertainty Estimation Using Riemannian Model Dynamics for Offline Reinforcement Learning ↗Guy Tennenholtz, Shie Mannor4 citations
Understanding Non-Linearity in Graph Neural Networks from the Bayesian-Inference Perspective ↗Rongzhe Wei, Haoteng Yin, Junteng Jia et al.4 citations
Understanding the Failure of Batch Normalization for Transformers in NLP ↗Jiaxi Wang, Ji Wu, Lei Huang4 citations
Using Partial Monotonicity in Submodular Maximization ↗Loay Mualem, Moran Feldman4 citations
VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely? ↗Jiawei Jiang, Lukas Burkhalter, Fangcheng Fu et al.4 citations
Wasserstein Iterative Networks for Barycenter Estimation ↗Alexander Korotin, Vage Egiazarian, Lingxiao Li et al.4 citations
Where to Pay Attention in Sparse Training for Feature Selection? ↗Ghada Sokar, Zahra Atashgahi, Mykola Pechenizkiy et al.4 citations
a-ReQ : Assessing Representation Quality in Self-Supervised Learning by Measuring Eigenspectrum Decay ↗Kumar Krishna Agrawal, Arnab Kumar Mondal, Arna Ghosh et al.4 citations
“Why Not Other Classes?”: Towards Class-Contrastive Back-Propagation Explanations ↗Yipei Wang, Xiaoqian Wang4 citations
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models ↗Yang Liu, Tianyu Pang, Yang Liu3 citations
A Composable Machine-Learning Approach for Steady-State Simulations on High-Resolution Grids ↗Rishikesh Ranade, Chris Hill, Lalit Ghule et al.3 citations
A Data-Augmentation is Worth a Thousand Samples: Analytical Moments and Sampling-Free Training ↗Randall Balestriero, Ishan Misra, Yann LeCun3 citations
A General Framework for Auditing Differentially Private Machine Learning ↗Fred Lu, Joseph Munoz, Maya Fuchs et al.3 citations
A Mean-Field Game Approach to Cloud Resource Management with Function Approximation ↗Weichao Mao, Haoran Qiu, Chen Wang et al.3 citations
A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP ↗Fan Chen, Junyu Zhang, ZaiWen Wen3 citations
A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models ↗Lijia Zhou, Frederic Koehler, Pragya Sur et al.3 citations
A Reduction to Binary Approach for Debiasing Multiclass Datasets ↗Ibrahim Alabdulmohsin, Jessica Schrouff, Sanmi Koyejo3 citations
A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning ↗Seunghyuk Cho, Juyong Lee, Jaesik Park et al.3 citations
A Single-Timescale Analysis for Stochastic Approximation with Multiple Coupled Sequences ↗Han Shen, Tianyi Chen3 citations
A Solver-Free Framework for Scalable Learning in Neural ILP Architectures ↗Yatin Nandwani, Rishabh Ranjan, Mausam et al.3 citations
A Theory of PAC Learnability Under Transformation Invariances ↗Han Shao, Omar Montasser, Avrim L. Blum3 citations
A Unified Diversity Measure for Multiagent Reinforcement Learning ↗Zongkai Liu, Chao Yu, Yaodong Yang et al.3 citations
A Unifying Framework for Online Optimization with Long-Term Constraints ↗Matteo Castiglioni, Andrea Celli, Alberto Marchesi et al.3 citations
ASPiRe: Adaptive Skill Priors for Reinforcement Learning ↗Mengda Xu, Manuela Veloso, Shuran Song3 citations
Adaptively Exploiting d-Separators with Causal Bandits ↗Blair Bilodeau, Linbo Wang, Daniel M. Roy3 citations
Addressing Resource Scarcity Across Sign Languages with Multilingual Pretraining and Unified-Vocabulary Datasets ↗Gokul NC, Manideep Ladi, Sumit Negi et al.3 citations
Amortized Inference for Causal Structure Learning ↗Lars Lorch, Scott Sussex, Jonas Rothfuss et al.3 citations
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning ↗Ruida Zhou, Tao Liu, Dileep M. Kalathil et al.3 citations
Are AlphaZero-Like Agents Robust to Adversarial Perturbations? ↗Li-Cheng Lan, Huan Zhang, Ti-Rong Wu et al.3 citations
Are Defenses for Graph Neural Networks Robust? ↗Felix Mujkanovic, Simon Geisler, Stephan Günnemann et al.3 citations
Association Graph Learning for Multi-Task Classification with Category Shifts ↗Jiayi Shen, Zehao Xiao, Xiantong Zhen et al.3 citations
AutoLink: Self-Supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints ↗Xingzhe He, Bastian Wandt, Helge Rhodin3 citations
BR-SNIS: Bias Reduced Self-Normalized Importance Sampling ↗Gabriel Cardoso, Sergey Samsonov, Achille Thin et al.3 citations

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📰 NeurIPS 2022: all accepted papers

NeurIPS 2022: all accepted papers