NeurIPS 2022

2,834 papers

Generating Training Data with Language Models: Towards Zero-Shot Language Understanding

Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han

Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief

Kaiyang Guo, Shao Yunfeng, Yanhui Geng

Coresets for Relational Data and The Applications

Jiaxiang Chen, Qingyuan Yang, Ruomin Huang, Hu Ding

Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays

Konstantin Mishchenko, Francis R. Bach, Mathieu Even, Blake E Woodworth

On-Demand Sampling: Learning Optimally from Multiple Distributions

Nika Haghtalab, Michael I. Jordan, Eric Zhao

A Consolidated Cross-Validation Algorithm for Support Vector Machines via Data Reduction

Boxiang Wang, Archer Yang

Recurrent Video Restoration Transformer with Guided Deformable Attention

Jingyun Liang, Yuchen Fan, Xiaoyu Xiang, Rakesh Ranjan, Eddy Ilg

Diffusion Visual Counterfactual Explanations

Maximilian Augustin, Valentyn Boreiko, Francesco Croce, Matthias Hein

Fully Sparse 3D Object Detection

Lue Fan, Feng Wang, Naiyan Wang, ZHAO-XIANG ZHANG

Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation

Zhun Zhong, Yuyang Zhao, Gim Hee Lee, Nicu Sebe

Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency Domain

Yiting Chen, Qibing Ren, Junchi Yan

Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression

Jason Yecheng Ma, Jason Yan, Dinesh Jayaraman, Osbert Bastani

Active Ranking without Strong Stochastic Transitivity

Hao Lou, Tao Jin, Yue Wu, Pan Xu, Quanquan Gu

CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image Synthesis

Shichong Peng, Seyed Alireza Moazenipourasil, Ke Li

Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources

Peter Lippmann, Enrique Fita Sanmartin, Fred A. Hamprecht

Conditional Meta-Learning of Linear Representations

Giulia Denevi, Massimiliano Pontil, Carlo Ciliberto

Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks

Shuoguang Yang, Xuezhou Zhang, Mengdi Wang

Offline Multi-Agent Reinforcement Learning with Knowledge Distillation

Wei-Cheng Tseng, Tsun-Hsuan Johnson Wang, Yen-Chen Lin, Phillip Isola

On Sample Optimality in Personalized Collaborative and Federated Learning

Mathieu Even, Laurent Massoulié, Kevin Scaman

SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery

Yezhen Cong, Samar Khanna, Chenlin Meng, Patrick Liu, Erik Rozi

Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits

Ruibo Liu, Chenyan Jia, Ge Zhang, Ziyu Zhuang, Tony Liu

Using natural language and program abstractions to instill human inductive biases in machines

Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y Hu

IM-Loss: Information Maximization Loss for Spiking Neural Networks

Yufei Guo, Yuanpei Chen, Liwen Zhang, Xiaode Liu, Yinglei Wang

Active Learning with Neural Networks: Insights from Nonparametric Statistics

Yinglun Zhu, Robert Nowak

Zero-Shot Video Question Answering via Frozen Bidirectional Language Models

Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid

Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning

Dongze Lian, Daquan Zhou, Jiashi Feng, Xinchao Wang

Adaptive Interest for Emphatic Reinforcement Learning

Martin Klissarov, Rasool Fakoor, Jonas W Mueller, Kavosh Asadi, Taesup Kim

What You See is What You Classify: Black Box Attributions

Steven Stalder, Nathanael Perraudin, Radhakrishna Achanta, Fernando Pérez-Cruz, Michele Volpi

Fast Bayesian Coresets via Subsampling and Quasi-Newton Refinement

Cian Naik, Judith Rousseau, Trevor Campbell

NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search

Yijian Qin, Ziwei Zhang, Xin Wang, Zeyang Zhang, Wenwu Zhu

Structured Recognition for Generative Models with Explaining Away

Changmin Yu, Hugo Soulat, Neil Burgess, Maneesh Sahani

Geometric Order Learning for Rank Estimation

Seon-Ho Lee, Nyeong Ho Shin, Chang-Su Kim

On Kernelized Multi-Armed Bandits with Constraints

Xingyu Zhou, Bo Ji

Federated Submodel Optimization for Hot and Cold Data Features

Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lyu