NeurIPS 2022

2,834 papers

The price of unfairness in linear bandits with biased feedback

Solenne Gaucher, Alexandra Carpentier, Christophe Giraud

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge

Linxi Fan, Guanzhi Wang, Yunfan Jiang, Ajay Mandlekar, Yuncong Yang

Optimal Positive Generation via Latent Transformation for Contrastive Learning

Yinqi Li, Hong Chang, Bingpeng MA, Shiguang Shan, Xilin Chen

Advancing Model Pruning via Bi-level Optimization

Yihua Zhang, Yuguang Yao, Parikshit Ram, Pu Zhao, Tianlong Chen

Sample-Efficient Reinforcement Learning of Partially Observable Markov Games

Qinghua Liu, Csaba Szepesvári, Chi Jin

Private Synthetic Data for Multitask Learning and Marginal Queries

Giuseppe Vietri, Cédric Archambeau, Sergul Aydore, William Brown, Michael J. Kearns

Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters

Kamyar Ghasemipour, Shixiang (Shane) Gu, Ofir Nachum

On Learning and Refutation in Noninteractive Local Differential Privacy

Alexander Edmonds, Aleksandar Nikolov, Toniann Pitassi

Information-Theoretic GAN Compression with Variational Energy-based Model

Minsoo Kang, Hyewon Yoo, Eunhee Kang, Sehwan Ki, Hyong Euk Lee

Optimal Binary Classification Beyond Accuracy

Shashank Singh, Justin T Khim

On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification

Sanyam Kapoor, Wesley J Maddox, Pavel Izmailov, Andrew G Wilson

Communication-efficient distributed eigenspace estimation with arbitrary node failures

Vasileios Charisopoulos, Anil Damle

Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos

Gautam Singh, Yi-Fu Wu, Sungjin Ahn

A permutation-free kernel two-sample test

Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas

SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained debugging and analysis

Roxana Daneshjou, Mert Yuksekgonul, Zhuo Ran Cai, Roberto Novoa, James Y Zou

MoCoDA: Model-based Counterfactual Data Augmentation

Silviu Pitis, Elliot Creager, Ajay Mandlekar, Animesh Garg

Benefits of Permutation-Equivariance in Auction Mechanisms

Tian Qin, Fengxiang He, Dingfeng Shi, Wenbing Huang, Dacheng Tao

What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness?

Nikolaos Tsilivis, Julia Kempe

CARD: Classification and Regression Diffusion Models

Xizewen Han, Huangjie Zheng, Mingyuan Zhou

Posterior Matching for Arbitrary Conditioning

Ryan Strauss, Junier B Oliva

Exact Shape Correspondence via 2D graph convolution

Barakeel Fanseu Kamhoua, Lin Zhang, Yongqiang Chen, Han Yang, MA Kaili

VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids

Albert Pumarola, Artsiom Sanakoyeu, Lior Yariv, Ali Thabet, Yaron Lipman

Kernel Multimodal Continuous Attention

Alexander Moreno, Zhenke Wu, Supriya Nagesh, Walter Dempsey, James M. Rehg

Hierarchical classification at multiple operating points

Jack Valmadre

Reproducibility in Optimization: Theoretical Framework and Limits

Kwangjun Ahn, Prateek Jain, Ziwei Ji, Satyen Kale, Praneeth Netrapalli

SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification

Xiyue Wang, Jinxi Xiang, Jun Zhang, Sen Yang, Zhongyi Yang

Probing Classifiers are Unreliable for Concept Removal and Detection

Abhinav Kumar, Chenhao Tan, Amit Sharma

SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training

Yangrui Chen, Cong Xie, Meng Ma, Juncheng Gu, Yanghua Peng

FACT: Learning Governing Abstractions Behind Integer Sequences

Peter Belcak, Ard Kastrati, Flavio Schenker, Roger Wattenhofer

If Influence Functions are the Answer, Then What is the Question?

Juhan Bae, Nathan Ng, Alston Lo, Marzyeh Ghassemi, Roger B Grosse

ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model

Srishti Gautam, Ahcène Boubekki, Stine Hansen, Suaiba Salahuddin, Robert Jenssen

STNDT: Modeling Neural Population Activity with Spatiotemporal Transformers

Trung Le, Eli Shlizerman

Learning Infinite-Horizon Average-Reward Restless Multi-Action Bandits via Index Awareness

GUOJUN XIONG, Shufan Wang, Jian Li

Jump Self-attention: Capturing High-order Statistics in Transformers

Haoyi Zhou, Siyang Xiao, Shanghang Zhang, Jieqi Peng, SHUAI ZHANG

RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection

Yue Song, Nicu Sebe, Wei Wang

SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training

Enmao Diao, Jie Ding, Vahid Tarokh

Multi-Fidelity Best-Arm Identification

Riccardo Poiani, Alberto Maria Metelli, Marcello Restelli

Private Graph All-Pairwise-Shortest-Path Distance Release with Improved Error Rate

Chenglin Fan, Ping Li, Xiaoyun Li

A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning

Seunghyuk Cho, Juyong Lee, Jaesik Park, Dongwoo Kim

The Role of Baselines in Policy Gradient Optimization

Jincheng Mei, Wesley Chung, Valentin Thomas, Bo Dai, Csaba Szepesvári

SignRFF: Sign Random Fourier Features

Xiaoyun Li, Ping Li

Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution

Khai Nguyen, nhật Hồ

Graph Learning Assisted Multi-Objective Integer Programming

Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Abhishek Gupta

FasterRisk: Fast and Accurate Interpretable Risk Scores

Jiachang Liu, Chudi Zhong, Boxuan Li, Margo Seltzer, Cynthia Rudin

Beyond Mahalanobis Distance for Textual OOD Detection

Pierre Colombo, Eduardo Dadalto, Guillaume Staerman, Nathan Noiry, Pablo Piantanida

Unsupervised Multi-View Object Segmentation Using Radiance Field Propagation

Xinhang Liu, Jiaben Chen, Huai Yu, Yu-Wing Tai, Chi-Keung Tang

Learning to Generate Inversion-Resistant Model Explanations

Hoyong Jeong, Suyoung Lee, Sung Ju Hwang, Sooel Son

Merging Models with Fisher-Weighted Averaging

Michael S Matena, Colin A Raffel

Policy Optimization with Linear Temporal Logic Constraints

Cameron Voloshin, Hoang Le, Swarat Chaudhuri, Yisong Yue

Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints

JIAJIN LI, Sirui Lin, Jose Blanchet, Viet Anh Nguyen

Sequence Model Imitation Learning with Unobserved Contexts

Gokul Swamy, Sanjiban Choudhury, J. A. Bagnell, Steven Z. Wu

Pruning has a disparate impact on model accuracy

Cuong Tran, Ferdinando Fioretto, Jung-Eun Kim, Rakshit Naidu

When Combinatorial Thompson Sampling meets Approximation Regret

Pierre Perrault

α-ReQ : Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay

Kumar K Agrawal, Arnab Kumar Mondal, Arna Ghosh, Blake Richards

Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning

Victor Weixin Liang, Yuhui Zhang, Yongchan Kwon, Serena Yeung, James Y Zou

TOIST: Task Oriented Instance Segmentation Transformer with Noun-Pronoun Distillation

Pengfei Li, Beiwen Tian, Yongliang Shi, Xiaoxue Chen, Hao Zhao

CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior

Eldar D Abraham, Karel D'Oosterlinck, Amir Feder, Yair Gat, Atticus Geiger

Active Labeling: Streaming Stochastic Gradients

Vivien Cabannes, Francis R. Bach, Vianney Perchet, Alessandro Rudi

Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting

Chengyu Dong, Liyuan Liu, Jingbo Shang

Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering

Yongyi Su, Xun Xu, Kui Jia

Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators

Yuhan Helena Liu, Stephen Smith, Stefan Mihalas, Eric Shea-Brown, Uygar Sümbül

DataMUX: Data Multiplexing for Neural Networks

Vishvak Murahari, Carlos Jimenez, Runzhe Yang, Karthik Narasimhan

EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization

Laurent Condat, Kai Yi, Peter Richtarik

Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference

Jasper Tan, Blake Mason, Hamid Javadi, Richard Baraniuk

Submodular Maximization in Clean Linear Time

Wenxin Li, Moran Feldman, Ehsan Kazemi, Amin Karbasi

Confident Adaptive Language Modeling

Tal Schuster, Adam Fisch, Jai Gupta, Mostafa Dehghani, Dara Bahri

All Politics is Local: Redistricting via Local Fairness

Shao-Heng Ko, Erin Taylor, Pankaj Agarwal, Kamesh Munagala

Bayesian Risk Markov Decision Processes

Yifan Lin, Yuxuan Ren, Enlu Zhou

A Single-timescale Analysis for Stochastic Approximation with Multiple Coupled Sequences

Han Shen, Tianyi Chen

Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models

Xiuying Wei, Yunchen Zhang, Xiangguo Zhang, Ruihao Gong, Shanghang Zhang

A composable machine-learning approach for steady-state simulations on high-resolution grids

Rishikesh Ranade, Chris Hill, Lalit Ghule, Jay Pathak

S-PIFu: Integrating Parametric Human Models with PIFu for Single-view Clothed Human Reconstruction

Kennard Chan, Guosheng Lin, Haiyu Zhao, Weisi Lin

Locating and Editing Factual Associations in GPT

Kevin Meng, David Bau, Alex Andonian, Yonatan Belinkov

Probable Domain Generalization via Quantile Risk Minimization

Cian Eastwood, Alexander Robey, Shashank Singh, Julius von Kügelgen, Hamed Hassani

Neural Topological Ordering for Computation Graphs

Mukul Gagrani, Corrado Rainone, Yang Yang, Harris Teague, Wonseok Jeon

ShuffleMixer: An Efficient ConvNet for Image Super-Resolution

Long Sun, Jinshan Pan, Jinhui Tang

APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking

Yuxiang Yang, Junjie Yang, Yufei Xu, Jing Zhang, Long Lan

Visual Clues: Bridging Vision and Language Foundations for Image Paragraph Captioning

Yujia Xie, Luowei Zhou, Xiyang Dai, Lu Yuan, Nguyen Bach

Peer Prediction for Learning Agents

Shi Feng, Fang-Yi Yu, Yiling Chen

Mirror Descent with Relative Smoothness in Measure Spaces, with application to Sinkhorn and EM

Pierre-Cyril Aubin-Frankowski, Anna Korba, Flavien Léger

BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach

Bo Liu, Mao Ye, Stephen Wright, Peter Stone, Qiang Liu

Adjoint-aided inference of Gaussian process driven differential equations

Paterne GAHUNGU, Christopher Lanyon, Mauricio A Álvarez, Engineer Bainomugisha, Michael T Smith

A Unified Framework for Alternating Offline Model Training and Policy Learning

Shentao Yang, Shujian Zhang, Yihao Feng, Mingyuan Zhou

Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning

Anastasiia Koloskova, Sebastian U Stich, Martin Jaggi

On the non-universality of deep learning: quantifying the cost of symmetry

Emmanuel Abbe, Enric Boix-Adsera

Variational Model Perturbation for Source-Free Domain Adaptation

Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees Snoek

Learning Physics Constrained Dynamics Using Autoencoders

Tsung-Yen Yang, Justinian P. Rosca, Karthik Narasimhan, Peter J. Ramadge, Peter J Ramadge

A Deep Learning Dataloader with Shared Data Preparation

jian xie, Jingwei Xu, Guochang Wang, Yuan Yao, Zenan Li

The Curse of Unrolling: Rate of Differentiating Through Optimization

Damien Scieur, Gauthier Gidel, Quentin Bertrand, Fabian Pedregosa

Neural Shape Deformation Priors

Jiapeng Tang, Lev Markhasin, Bi Wang, Justus Thies, Matthias Niessner

Inference and Sampling for Archimax Copulas

Yuting Ng, Ali Hasan, Vahid Tarokh

Batch size-invariance for policy optimization

Jacob Hilton, Karl Cobbe, John Schulman

Operative dimensions in unconstrained connectivity of recurrent neural networks

Renate Krause, Matthew Cook, Sepp Kollmorgen, Valerio Mante, Giacomo Indiveri

VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason Objectives

Zhuofan Ying, Peter Hase, Mohit Bansal

Two-Stream Network for Sign Language Recognition and Translation

Yutong Chen, Ronglai Zuo, Fangyun Wei, Yu Wu, Shujie LIU

Exploring Figure-Ground Assignment Mechanism in Perceptual Organization

Wei Zhai, Yang Cao, Jing Zhang, Zheng-Jun Zha

Taming Fat-Tailed (“Heavier-Tailed” with Potentially Infinite Variance) Noise in Federated Learning

Haibo Yang, Peiwen Qiu, Jia Liu

coVariance Neural Networks

Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro

On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory

Yang Hu, Adam Wierman, Guannan Qu

Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source Separation

Moitreya Chatterjee, Narendra Ahuja, Anoop Cherian