NeurIPS 2022: all accepted papers

2,834 papers · page 11 of 29 · the most cited first · ← NeurIPS 2022

Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples ↗Maura Pintor, Luca Demetrio, Angelo Sotgiu et al.7 citations
Influencing Long-Term Behavior in Multiagent Reinforcement Learning ↗Dong-Ki Kim, Matthew Riemer, Miao Liu et al.7 citations
Instability and Local Minima in GAN Training with Kernel Discriminators ↗Evan Becker, Parthe Pandit, Sundeep Rangan et al.7 citations
Introspective Learning : A Two-Stage Approach for Inference in Neural Networks ↗Mohit Prabhushankar, Ghassan AlRegib7 citations
Invariant and Transportable Representations for Anti-Causal Domain Shifts ↗Yibo Jiang, Victor Veitch7 citations
LTMD: Learning Improvement of Spiking Neural Networks with Learnable Thresholding Neurons and Moderate Dropout ↗Siqi Wang, Tee Hiang Cheng, Meng‐Hiot Lim7 citations
Learning Latent Seasonal-Trend Representations for Time Series Forecasting ↗Zhiyuan Wang, Xovee Xu, Weifeng Zhang et al.7 citations
Learning Multi-Resolution Functional Maps with Spectral Attention for Robust Shape Matching ↗Lei Li, Nicolas Donati, Maks Ovsjanikov7 citations
Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space ↗Jinghuan Shang, Srijan Das, Michael S. Ryoo7 citations
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare ↗Shengpu Tang, Maggie Makar, Michael W. Sjoding et al.7 citations
LiteTransformerSearch: Training-Free Neural Architecture Search for Efficient Language Models ↗Mojan Javaheripi, Gustavo De Rosa, Subhabrata Mukherjee et al.7 citations
Low-Rank Optimal Transport: Approximation, Statistics and Debiasing ↗Meyer Scetbon, Marco Cuturi7 citations
M4Singer: A Multi-Style, Multi-Singer and Musical Score Provided Mandarin Singing Corpus ↗Lichao Zhang, Ruiqi Li, Shoutong Wang et al.7 citations
MSDS: A Large-Scale Chinese Signature and Token Digit String Dataset for Handwriting Verification ↗Peirong Zhang, Jiajia Jiang, Yuliang Liu et al.7 citations
Mean Estimation with User-Level Privacy Under Data Heterogeneity ↗Rachel Cummings, Vitaly Feldman, Audra McMillan et al.7 citations
MoGDE: Boosting Mobile Monocular 3D Object Detection with Ground Depth Estimation ↗Yunsong Zhou, Quan Liu, Hongzi Zhu et al.7 citations
MultiScan: Scalable RGBD Scanning for 3D Environments with Articulated Objects ↗Yongsen Mao, Yiming Zhang, Hanxiao Jiang et al.7 citations
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation ↗Michael Chang, Thomas L. Griffiths, Sergey Levine7 citations
On Privacy and Personalization in Cross-Silo Federated Learning ↗Ken Liu, Shengyuan Hu, Steven Wu et al.7 citations
On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with No Catastrophic Forgetting ↗Tomasz Korbak, Hady Elsahar, Germán Kruszewski et al.7 citations
One-Shot Neural Backdoor Erasing Via Adversarial Weight Masking ↗Shuwen Chai, Jinghui Chen7 citations
Online Deep Equilibrium Learning for Regularization by Denoising ↗Jiaming Liu, Xiaojian Xu, Weijie Gan et al.7 citations
Online Learning and Pricing for Network Revenue Management with Reusable Resources ↗Huiwen Jia, Cong Shi, Siqian Shen7 citations
Order-Invariant Cardinality Estimators Are Differentially Private ↗Charlie Dickens, Justin Thaler, Daniel Ting7 citations
Private Synthetic Data for Multitask Learning and Marginal Queries ↗Giuseppe Vietri, Cédric Archambeau, Sergül Aydöre et al.7 citations
Probing Classifiers Are Unreliable for Concept Removal and Detection ↗Abhinav Kumar, Chenhao Tan, Amit Sharma7 citations
Procedural Image Programs for Representation Learning ↗Manel Baradad, Richard Chen, Jonas Wulff et al.7 citations
Provably Efficient Model-Free Constrained RL with Linear Function Approximation ↗Arnob Ghosh, Xingyu Zhou, Ness Shroff7 citations
Prune and Distill: Similar Reformatting of Image Information Along Rat Visual Cortex and Deep Neural Networks ↗Paolo Muratore, Sina Tafazoli, Eugenio Piasini et al.7 citations
Pruning’s Effect on Generalization Through the Lens of Training and Regularization ↗Jin Tian, Michael Carbin, Daniel M. Roy et al.7 citations
Rashomon Capacity: A Metric for Predictive Multiplicity in Classification ↗Hsiang Hsu, Flávio P. Calmon7 citations
Reinforcement Learning with Automated Auxiliary Loss Search ↗Tairan He, Yuge Zhang, Kan Ren et al.7 citations
Relaxing Equivariance Constraints with Non-Stationary Continuous Filters ↗Tycho F. A. van der Ouderaa, David W. Romero, Mark van der Wilk7 citations
Reproducibility in Optimization: Theoretical Framework and Limits ↗Kwangjun Ahn, Prateek Jain, Ziwei Ji et al.7 citations
Revisiting Optimal Convergence Rate for Smooth and Non-Convex Stochastic Decentralized Optimization ↗Kun Yuan, Xinmeng Huang, Yiming Chen et al.7 citations
SHINE: SubHypergraph Inductive Neural nEtwork ↗Yuan Luo7 citations
Score-Based Generative Models Detect Manifolds ↗Jakiw Pidstrigach7 citations
Self-Explaining Deep Models with Logic Rule Reasoning ↗Seungeon Lee, Xiting Wang, SungWon Han et al.7 citations
Self-Organized Group for Cooperative Multi-Agent Reinforcement Learning ↗Jianzhun Shao, Zhiqiang Lou, Hongchang Zhang et al.7 citations
Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge ↗Mayleen Cortez, Matthew Eichhorn, Christina Yu7 citations
The Alignment Property of SGD Noise and How it Helps Select Flat Minima: A Stability Analysis ↗Lei Wu, Mingze Wang, Weijie Su7 citations
Towards Hard-Pose Virtual Try-On Via 3D-Aware Global Correspondence Learning ↗Zaiyu Huang, Hanhui Li, Zhenyu Xie et al.7 citations
Trajectory Inference Via Mean-Field Langevin in Path Space ↗Lénaïc Chizat, Stephen Zhang, Matthieu Heitz et al.7 citations
Understanding Deep Contrastive Learning Via Coordinate-Wise Optimization ↗Yuandong Tian7 citations
Understanding Programmatic Weak Supervision Via Source-Aware Influence Function ↗Jieyu Zhang, Haonan Wang, Cheng-Yu Hsieh et al.7 citations
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation ↗Haoyu Peter Wang, Nan Wu, Hang Yang et al.7 citations
Unsupervised Object Representation Learning Using Translation and Rotation Group Equivariant VAE ↗Alireza Nasiri, Tristan Bepler7 citations
Using Embeddings for Causal Estimation of Peer Influence in Social Networks ↗Irina Cristali, Victor Veitch7 citations
Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines ↗Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta et al.7 citations
Visual Concepts Tokenization ↗Tao Yang, Yuwang Wang, Yan Lu et al.7 citations
When Do Flat Minima Optimizers Work? ↗Jean Kaddour, Linqing Liu, Ricardo Silva et al.7 citations
When Does Return-Conditioned Supervised Learning Work for Offline Reinforcement Learning? ↗David Brandfonbrener, Alberto Bietti, Jacob Buckman et al.7 citations
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power ↗Binghui Li, Jikai Jin, Han Zhong et al.7 citations
Why So Pessimistic? Estimating Uncertainties for Offline RL Through Ensembles, and Why Their Independence Matters ↗Kamyar Ghasemipour, Shixiang (Shane) Gu, Ofir Nachum7 citations
A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization ↗Puyuan Liu, Xiang Zhang, Lili Mou6 citations
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning ↗Zhijie Deng, Feng Zhou, Jun Zhu6 citations
Active Exploration for Inverse Reinforcement Learning ↗David Lindner, Andreas Krause, Giorgia Ramponi6 citations
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach ↗Kaiwen Yang, Yanchao Sun, Jiahao Su et al.6 citations
Algorithms that Approximate Data Removal: New Results and Limitations ↗Vinith M. Suriyakumar, Ashia Wilson6 citations
Amortized Projection Optimization for Sliced Wasserstein Generative Models ↗Khai Nguyen, Nhat Ho6 citations
AutoST: Towards the Universal Modeling of Spatio-Temporal Sequences ↗Jianxin Li, Shuai Zhang, Hui Yun Xiong et al.6 citations
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach ↗Bo Liu, Mao Ye, Stephen J. Wright et al.6 citations
Bayesian Risk Markov Decision Processes ↗Yifan Lin, Yuxuan Ren, Enlu Zhou6 citations
Benchopt: Reproducible, Efficient and Collaborative Optimization Benchmarks ↗Thomas Moreau, Mathurin Massias, Alexandre Gramfort et al.6 citations
Can Push-Forward Generative Models Fit Multimodal Distributions? ↗Antoine Salmona, Valentin De Bortoli, Julie Delon et al.6 citations
Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis ↗Ronan J. Perry, Julius von Kügelgen, Bernhard Schölkopf6 citations
Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise ↗Eduard Gorbunov, Marina Danilova, David Dobre et al.6 citations
Cluster Randomized Designs for One-Sided Bipartite Experiments ↗Jennifer Brennan, Vahab Mirrokni, Jean Pouget-Abadie6 citations
Concrete Score Matching: Generalized Score Matching for Discrete Data ↗Chenlin Meng, Kristy Choi, Jiaming Song et al.6 citations
Coordinates Are NOT Lonely - Codebook Prior Helps Implicit Neural 3D Representations ↗Fukun Yin, Wen LIU, Zilong Huang et al.6 citations
Curious Exploration Via Structured World Models Yields Zero-Shot Object Manipulation ↗Cansu Sancaktar, Sebastian Blaes, Georg Martius6 citations
DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning ↗Seungjae Lee, H. Jin Kim, 김지강 et al.6 citations
DP-PCA: Statistically Optimal and Differentially Private PCA ↗Xiyang Liu, Weihao Kong, Prateek Jain et al.6 citations
Data-Efficient Augmentation for Training Neural Networks ↗Tian Yu Liu, Baharan Mirzasoleiman6 citations
Domain Adaptation Meets Individual Fairness - and They Get Along ↗Debarghya Mukherjee, Felix Petersen, Mikhail Yurochkin et al.6 citations
Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation ↗Ziwei Xu, Yogesh Rawat, Yongkang Wong et al.6 citations
Draft-And-Revise: Effective Image Generation with Contextual RQ-Transformer ↗Doyup Lee, Chiheon Kim, Saehoon Kim et al.6 citations
Efficient Graph Similarity Computation with Alignment Regularization ↗Wei Zhuo, Guang Tan6 citations
Embrace the Gap: VAEs Perform Independent Mechanism Analysis ↗Patrik Reizinger, Luigi Gresele, Jack Brady et al.6 citations
Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness ↗Fredrik Hellström, Giuseppe Durisi6 citations
Exact Learning Dynamics of Deep Linear Networks with Prior Knowledge ↗Lukas Braun, Clémentine Dominé, James E. Fitzgerald et al.6 citations
Explicit Tradeoffs Between Adversarial and Natural Distributional Robustness ↗Mazda Moayeri, Kiarash Banihashem, Soheil Feizi6 citations
FLAIR: Federated Learning Annotated Image Repository ↗Congzheng Song, Filip Granqvist, Kunal Talwar6 citations
GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations ↗Enmao Diao, Jie Ding, Vahid Tarokh6 citations
Geometric Order Learning for Rank Estimation ↗Seon-Ho Lee, Nyeong-Ho Shin, Chang‐Su Kim6 citations
GlanceNets: Interpretable, Leak-Proof Concept-Based Models ↗Emanuele Marconato, Andrea Passerini, Stefano Teso6 citations
Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression ↗Liangzu Peng, Christian Kümmerle, Rene Vidal6 citations
Global Normalization for Streaming Speech Recognition in a Modular Framework ↗Ehsan Variani, Ke Wu, Michael Riley et al.6 citations
Gradient Methods Provably Converge to Non-Robust Networks ↗Gal Vardi, Gilad Yehudai, Ohad Shamir6 citations
Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization ↗Tianyi Lin, Zeyu Zheng, Michael I. Jordan6 citations
Graph Few-Shot Learning with Task-Specific Structures ↗Song Wang, Chen Chen, Jundong Li6 citations
Graph Neural Networks Are Dynamic Programmers ↗Andrew Dudzik, Petar Veličković6 citations
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences ↗Siqiao Xue, Xiaoming Shi, James Zhang et al.6 citations
Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks ↗Sitan Chen, Aravind Gollakota, Adam R. Klivans et al.6 citations
High-Dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation ↗Jimmy Lei Ba, Murat A. Erdogdu, Taiji Suzuki et al.6 citations
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution ↗Xueying Ding, Lingxiao Zhao, Leman Akoglu6 citations
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification ↗Muhammad Ferjad Naeem, Yongqin Xian, Luc Van Gool et al.6 citations
Implicit Warping for Animation with Image Sets ↗Arun Mallya, Ting-Chun Wang, Ming-Yu Liu6 citations
Improving 3D-Aware Image Synthesis with a Geometry-Aware Discriminator ↗Zifan Shi, Yinghao Xu, Yujun Shen et al.6 citations
Improving Out-Of-Distribution Generalization by Adversarial Training with Structured Priors ↗Qixun Wang, Yifei Wang, Hong Zhu et al.6 citations

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📰 NeurIPS 2022: all accepted papers

NeurIPS 2022: all accepted papers