NeurIPS 2022

2,834 papers

Counterfactual harm

Jonathan Richens, Rory Beard, Daniel H. Thompson

Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs

Dongruo Zhou, Quanquan Gu

Decoupling Features in Hierarchical Propagation for Video Object Segmentation

Zongxin Yang, Yi Yang

Nonparametric Uncertainty Quantification for Single Deterministic Neural Network

Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov

Left Heavy Tails and the Effectiveness of the Policy and Value Networks in DNN-based best-first search for Sokoban Planning

Dieqiao Feng, Carla P. Gomes, Bart Selman

Giving Feedback on Interactive Student Programs with Meta-Exploration

Evan Liu, Moritz Stephan, Allen Nie, Chris Piech, Emma Brunskill

BILCO: An Efficient Algorithm for Joint Alignment of Time Series

Xuelong Mi, Mengfan Wang, Alex Chen, Jing-Xuan Lim, Yizhi Wang

Regret Bounds for Risk-Sensitive Reinforcement Learning

Osbert Bastani, Jason Yecheng Ma, Estelle Shen, Wanqiao Xu

A Mean-Field Game Approach to Cloud Resource Management with Function Approximation

Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk

Refining Low-Resource Unsupervised Translation by Language Disentanglement of Multilingual Translation Model

Xuan-Phi Nguyen, Shafiq Joty, Kui Wu, Ai Ti Aw

Detection and Localization of Changes in Conditional Distributions

Lizhen Nie, Dan Nicolae

Addressing Resource Scarcity across Sign Languages with Multilingual Pretraining and Unified-Vocabulary Datasets

Gokul NC, Manideep Ladi, Sumit Negi, Prem Selvaraj, Pratyush Kumar

AniFaceGAN: Animatable 3D-Aware Face Image Generation for Video Avatars

Yue Wu, Yu Deng, Jiaolong Yang, Fangyun Wei, Qifeng Chen

Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity

Yiheng Lin, Yang Hu, Guannan Qu, Tongxin Li, Adam Wierman

Scaling Multimodal Pre-Training via Cross-Modality Gradient Harmonization

Junru Wu, Yi Liang, feng han, Hassan Akbari, Zhangyang Wang

Composite Feature Selection Using Deep Ensembles

Fergus Imrie, Alexander Norcliffe, Pietro Lió, Mihaela van der Schaar

AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints

Xingzhe He, Bastian Wandt, Helge Rhodin

Learning to Scaffold: Optimizing Model Explanations for Teaching

Patrick Fernandes, Marcos Treviso, Danish Pruthi, Andre Martins, Graham Neubig

Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)

Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher

Rethinking Alignment in Video Super-Resolution Transformers

Shuwei Shi, Jinjin Gu, Liangbin Xie, Xintao Wang, Yujiu Yang

GLIPv2: Unifying Localization and Vision-Language Understanding

Haotian Zhang, Pengchuan Zhang, Xiaowei Hu, Yen-Chun Chen, Liunian Li

Cluster and Aggregate: Face Recognition with Large Probe Set

Minchul Kim, Feng Liu, Xiaoming Liu, Anil K. Jain, Anil K Jain

Reinforcement Learning with Logarithmic Regret and Policy Switches

Grigoris Velegkas, Zhuoran Yang, Amin Karbasi

Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork

Haotao Wang, Junyuan Hong, Aston Zhang, Jiayu Zhou, Zhangyang Wang

Global Convergence and Stability of Stochastic Gradient Descent

Vivak Patel, Shushu Zhang, Bowen Tian

Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation

Hengguan Huang, Xiangming Gu, Hao Wang, Chang Xiao, Hongfu Liu

Implicit Regularization or Implicit Conditioning? Exact Risk Trajectories of SGD in High Dimensions

Courtney Paquette, Elliot Paquette, Ben Adlam, Jeffrey Pennington

On the Parameterization and Initialization of Diagonal State Space Models

Albert Gu, Karan Goel, Ankit Gupta, Christopher Re

PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining

Yuting Gao, Jinfeng Liu, Zihan Xu, Jun Zhang, Ke Li

Masked Autoencoders As Spatiotemporal Learners

Christoph Feichtenhofer, haoqi fan, Yanghao Li, Kaiming He

Triangulation candidates for Bayesian optimization

Robert B. Gramacy, Annie Sauer, Nathan Wycoff

DNA: Proximal Policy Optimization with a Dual Network Architecture

Matthew Aitchison, Penny Sweetser

JAWS: Auditing Predictive Uncertainty Under Covariate Shift

Drew Prinster, Anqi Liu, Suchi Saria

Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting

Prasanna Sattigeri, Soumya Ghosh, Inkit Padhi, Pierre Dognin, Kush R Varshney

Palm up: Playing in the Latent Manifold for Unsupervised Pretraining

Hao Liu, Tom Zahavy, Volodymyr Mnih, Satinder P. Singh

Distributionally Robust Optimization via Ball Oracle Acceleration

Yair Carmon, Danielle Hausler

Score-Based Generative Models Detect Manifolds

Jakiw Pidstrigach

Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo

Ignacio Peis, Chao Ma, José Miguel Hernández-Lobato

Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL

Fengzhuo Zhang, Boyi Liu, KAIXIN WANG, Vincent Tan, Zhuoran Yang

Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models

Boxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary

Deep Generative Model for Periodic Graphs

Shiyu Wang, Xiaojie Guo, Liang Zhao

Tensor Program Optimization with Probabilistic Programs

Junru Shao, Xiyou Zhou, Siyuan Feng, Bohan Hou, Ruihang Lai

Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise

Pedro Savarese, Xin Yuan, Yanjing Li, Michael Maire

Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks

Renan A. Rojas-Gomez, Teck-Yian Lim, Alex Schwing, Minh Do, Raymond A. Yeh

A Multilabel Classification Framework for Approximate Nearest Neighbor Search

Ville Hyvönen, Elias Jääsaari, Teemu Roos

Sub-exponential time Sum-of-Squares lower bounds for Principal Components Analysis

Aaron Potechin, Goutham Rajendran

How Transferable are Video Representations Based on Synthetic Data?

Yo-whan Kim, Samarth Mishra, SouYoung Jin, Rameswar Panda, Hilde Kuehne

Reinforcement Learning with a Terminator

Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit

Factorized-FL: Personalized Federated Learning with Parameter Factorization & Similarity Matching

Wonyong Jeong, Sung Ju Hwang

Deep invariant networks with differentiable augmentation layers

Cédric ROMMEL, Thomas Moreau, Alexandre Gramfort

Fast Neural Kernel Embeddings for General Activations

Insu Han, Amir Zandieh, Jaehoon Lee, Roman Novak, Lechao Xiao

Robustness to Label Noise Depends on the Shape of the Noise Distribution

Diane Oyen, Michal Kucer, Nicolas Hengartner, Har Simrat Singh

MCMAE: Masked Convolution Meets Masked Autoencoders

peng gao, Teli Ma, hongsheng Li, Ziyi Lin, Jifeng Dai

The Pitfalls of Regularization in Off-Policy TD Learning

Gaurav Manek, J. Zico Kolter

Contrastive Learning as Goal-Conditioned Reinforcement Learning

Benjamin Eysenbach, Tianjun Zhang, Sergey Levine, Ruslan Salakhutdinov

Contextual Bandits with Knapsacks for a Conversion Model

Zhen Li, Gilles Stoltz

Faster Linear Algebra for Distance Matrices

Piotr Indyk, Sandeep Silwal

4D Unsupervised Object Discovery

Yuqi Wang, Yuntao Chen, ZHAO-XIANG ZHANG

Towards Video Text Visual Question Answering: Benchmark and Baseline

Minyi Zhao, Bingjia Li, Jie Wang, Wanqing Li, Wenjing Zhou

Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings

Yiren Jian, Chongyang Gao, Soroush Vosoughi

Recursive Reinforcement Learning

Ernst Moritz Hahn, Mateo Perez, Sven Schewe, Fabio Somenzi, Ashutosh Trivedi

A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective

Chanwoo Park, Sangdoo Yun, Sanghyuk Chun

A time-resolved theory of information encoding in recurrent neural networks

Rainer Engelken, Sven Goedeke

Flowification: Everything is a normalizing flow

Bálint Máté, Samuel Klein, Tobias Golling, Francois Fleuret

Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning

WEICONG LIANG, YUHUI YUAN, Henghui Ding, Xiao Luo, Weihong Lin

An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context

Xiaoyu Chen, Xiangming Zhu, Yufeng Zheng, Pushi Zhang, Li Zhao

On the Effectiveness of Persistent Homology

Renata Turkes, Guido F. Montufar, Nina Otter

MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control

Nolan Wagener, Andrey Kolobov, Felipe Vieira Frujeri, Ricky Loynd, Ching-An Cheng

On the Complexity of Adversarial Decision Making

Dylan J Foster, Alexander Rakhlin, Ayush Sekhari, Karthik Sridharan

SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance

Edouard YVINEC, Arnaud Dapogny, Matthieu Cord, Kevin Bailly

Efficient Active Learning with Abstention

Yinglun Zhu, Robert Nowak

Uni[MASK]: Unified Inference in Sequential Decision Problems

Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun

CCCP is Frank-Wolfe in disguise

Alp Yurtsever, Suvrit Sra

The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization

Dmitry Kovalev, Alexander Gasnikov

Kernel Memory Networks: A Unifying Framework for Memory Modeling

Georgios Iatropoulos, Johanni Brea, Wulfram Gerstner

OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression

Wanhua Li, Xiaoke Huang, Zheng Zhu, Yansong Tang, Xiu Li

Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis

Wuyang Chen, Wei Huang, Xinyu Gong, Boris Hanin, Zhangyang Wang

Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity

Alekh Agarwal, Tong Zhang

Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF

Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Florence d'Alché-Buc, Gaël RICHARD

TwiBot-22: Towards Graph-Based Twitter Bot Detection

Shangbin Feng, Zhaoxuan Tan, Herun Wan, Ningnan Wang, Zilong Chen

Self-Supervised Learning with an Information Maximization Criterion

Serdar Ozsoy, Shadi Hamdan, Sercan Arik, Deniz Yuret, Alper Erdogan

SnAKe: Bayesian Optimization with Pathwise Exploration

Jose Pablo Folch, Shiqiang Zhang, Robert Lee, Behrang Shafei, David Walz

Deep Counterfactual Estimation with Categorical Background Variables

Edward De Brouwer

Alternating Mirror Descent for Constrained Min-Max Games

Andre Wibisono, Molei Tao, Georgios Piliouras

A Regret-Variance Trade-Off in Online Learning

Dirk van der Hoeven, Nikita Zhivotovskiy, Nicolò Cesa-bianchi

Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization

Liang Zhang, Kiran K Thekumparampil, Sewoong Oh, Niao He

PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding

Minghao Xu, Zuobai Zhang, Jiarui Lu, Zhaocheng Zhu, Yangtian Zhang

Learning (Very) Simple Generative Models Is Hard

Sitan Chen, Jerry Li, Yuanzhi Li

Multitasking Models are Robust to Structural Failure: A Neural Model for Bilingual Cognitive Reserve

Giannis Daras, Negin Raoof, Zoi Gkalitsiou, Alex Dimakis

Confidence-based Reliable Learning under Dual Noises

Peng Cui, Yang Yue, Zhijie Deng, Jun Zhu

OnePose++: Keypoint-Free One-Shot Object Pose Estimation without CAD Models

Xingyi He, Jiaming Sun, Yuang Wang, Di Huang, Hujun Bao

Delving into Out-of-Distribution Detection with Vision-Language Representations

Yifei Ming, Ziyang Cai, Jiuxiang Gu, Yiyou Sun, Wei Li

Mutual Information Divergence: A Unified Metric for Multimodal Generative Models

Jin-Hwa Kim, Yunji Kim, Jiyoung Lee, Kang Min Yoo, Sang-Woo Lee

Learning from Stochastically Revealed Preference

John Birge, Xiaocheng Li, Chunlin Sun

Optimal Query Complexities for Dynamic Trace Estimation

David Woodruff, Fred Zhang, Richard Zhang

A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs

Chloé Rouyer, Dirk van der Hoeven, Nicolò Cesa-bianchi, Yevgeny Seldin

Learning Neural Set Functions Under the Optimal Subset Oracle

Zijing Ou, Tingyang Xu, Qinliang Su, Yingzhen Li, Peilin Zhao

Learning to Attack Federated Learning: A Model-based Reinforcement Learning Attack Framework

Henger Li, Xiaolin Sun, Zizhan Zheng

Variable-rate hierarchical CPC leads to acoustic unit discovery in speech

Santiago Cuervo, Adrian Lancucki, Ricard Marxer, Paweł Rychlikowski, Jan K Chorowski

SALSA: Attacking Lattice Cryptography with Transformers

Emily Wenger, Mingjie Chen, Francois Charton, Kristin E. Lauter