NeurIPS 2022

2,834 papers

TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers

Hyeong Kyu Choi, Joonmyung Choi, Hyunwoo J Kim

Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning

Chenyang Wu, Tianci Li, Zongzhang Zhang, Yang Yu

Hypothesis Testing for Differentially Private Linear Regression

Daniel Alabi, Salil Vadhan

Near-Optimal Collaborative Learning in Bandits

Clémence Réda, Sattar Vakili, Emilie Kaufmann

Washing The Unwashable : On The (Im)possibility of Fairwashing Detection

Ali Shahin Shamsabadi, Mohammad Yaghini, Natalie Dullerud, Sierra Wyllie, Ulrich Aïvodji

Constrained Predictive Coding as a Biologically Plausible Model of the Cortical Hierarchy

Siavash Golkar, Tiberiu Tesileanu, Yanis Bahroun, Anirvan Sengupta, Dmitri B. Chklovskii

Deep Compression of Pre-trained Transformer Models

Naigang Wang, Chi-Chun (Charlie) Liu, Swagath Venkataramani, Sanchari Sen, Chia-Yu Chen

Hierarchical Normalization for Robust Monocular Depth Estimation

Chi Zhang, Wei Yin, Billzb Wang, Gang Yu, BIN FU

A theory of weight distribution-constrained learning

Weishun Zhong, Ben Sorscher, Daniel D. Lee, Haim Sompolinsky

Multi-Scale Adaptive Network for Single Image Denoising

Yuanbiao Gou, Peng Hu, Jiancheng Lv, Joey Tianyi Zhou, Xi Peng

Graph Self-supervised Learning with Accurate Discrepancy Learning

Jinheon Baek, Sung Ju Hwang, Dong-Ki Kim, Dongki Kim

Exploring the Whole Rashomon Set of Sparse Decision Trees

Rui Xin, Chudi Zhong, Zhi Chen, Takuya Takagi, Margo Seltzer

Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes

Maxim Kodryan, Ekaterina Lobacheva, Maksim Nakhodnov, Dmitry P Vetrov

Learning Bipartite Graphs: Heavy Tails and Multiple Components

Jose Vinicius de Miranda Cardoso, Jiaxi Ying, Daniel Palomar

Analyzing Data-Centric Properties for Graph Contrastive Learning

Puja Trivedi, Ekdeep S Lubana, Mark Heimann, Danai Koutra, Jayaraman Thiagarajan

Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees

Aleksandr Beznosikov, Peter Richtarik, Michael Diskin, Max Ryabinin, Alexander Gasnikov

PALBERT: Teaching ALBERT to Ponder

Nikita Balagansky, Daniil Gavrilov

A Theory of PAC Learnability under Transformation Invariances

Han Shao, Omar Montasser, Avrim Blum

VTC-LFC: Vision Transformer Compression with Low-Frequency Components

Zhenyu Wang, Hao Luo, Pichao WANG, Feng Ding, Fan Wang

Distributional Convergence of the Sliced Wasserstein Process

Jiaqi Xi, Jonathan Niles-Weed

List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering

Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas

Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?

Alexander Korotin, Alexander Kolesov, Evgeny Burnaev

Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition

Lesi Chen, Boyuan Yao, Luo Luo

Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection

James Enouen, Yan Liu

Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions

Andrew Jesson, Alyson Douglas, Peter Manshausen, Maëlys Solal, Nicolai Meinshausen

Efficient Dataset Distillation using Random Feature Approximation

Noel Loo, Ramin Hasani, Alexander Amini, Daniela Rus

Robust Rent Division

Dominik Peters, Ariel D Procaccia, David Zhu

Learning from a Sample in Online Algorithms

C.J. Argue, Alan Frieze, Anupam Gupta, Christopher Seiler

Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection

Shizhen Zhao, Xiaojuan Qi

Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees

Avinandan Bose, Arunesh Sinha, Tien Mai

Video compression dataset and benchmark of learning-based video-quality metrics

Anastasia Antsiferova, Sergey Lavrushkin, Maksim Smirnov, Aleksandr Gushchin, Dmitriy Vatolin

ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment

Joseph DelPreto, Chao Liu, Yiyue Luo, Michael Foshey, Yunzhu Li

Stochastic Adaptive Activation Function

Kyungsu Lee, Jaeseung Yang, Haeyun Lee, Jae Youn Hwang

What Makes Graph Neural Networks Miscalibrated?

Hans Hao-Hsun Hsu, Yuesong Shen, Christian Tomani, Daniel Cremers

Inverse Design for Fluid-Structure Interactions using Graph Network Simulators

Kelsey Allen, Tatiana Lopez-Guevara, Kimberly L Stachenfeld, Alvaro Sanchez Gonzalez, Peter Battaglia

EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relations

Ahmad Darkhalil, Dandan Shan, Bin Zhu, Jian Ma, Amlan Kar

Representing Spatial Trajectories as Distributions

Didac Suris Coll-Vinent, Carl Vondrick

Generalized One-shot Domain Adaptation of Generative Adversarial Networks

Zicheng Zhang, Yinglu Liu, Congying Han, Tiande Guo, Ting Yao

Biologically-Plausible Determinant Maximization Neural Networks for Blind Separation of Correlated Sources

Bariscan Bozkurt, Cengiz Pehlevan, Alper Erdogan

A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension

Binh T. Nguyen, Bertrand Thirion, Sylvain Arlot

A Classification of G-invariant Shallow Neural Networks

Devanshu Agrawal, James Ostrowski

DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning

Seungjae Lee, Jigang Kim, Inkyu Jang, H. Jin Kim

TotalSelfScan: Learning Full-body Avatars from Self-Portrait Videos of Faces, Hands, and Bodies

Junting Dong, Qi Fang, Yudong Guo, Sida Peng, Qing Shuai

Meta Reinforcement Learning with Finite Training Tasks - a Density Estimation Approach

Zohar Rimon, Aviv Tamar, Gilad Adler

Alignment-guided Temporal Attention for Video Action Recognition

Yizhou Zhao, Zhenyang Li, Xun Guo, Yan Lu

TAP-Vid: A Benchmark for Tracking Any Point in a Video

Carl Doersch, Ankush Gupta, Larisa Markeeva, Adria Recasens, Lucas Smaira

Do Current Multi-Task Optimization Methods in Deep Learning Even Help?

Derrick Xin, Behrooz Ghorbani, Justin Gilmer, Ankush Garg, Orhan Firat

Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning

Ruida Zhou, Tao Liu, Dileep Kalathil, P. R. Kumar, Chao Tian

A Unifying Framework of Off-Policy General Value Function Evaluation

Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang

Overparameterization from Computational Constraints

Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Mingyuan Wang

Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis

Mengwei Ren, Neel Dey, Martin Styner, Kelly Botteron, Guido Gerig

Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions

Shubham Gupta, Ambedkar Dukkipati

Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence

Sunghwan Hong, Jisu Nam, Seokju Cho, Susung Hong, Sangryul Jeon

Byzantine-tolerant federated Gaussian process regression for streaming data

Xu Zhang, Zhenyuan Yuan, Minghui Zhu

Streaming Radiance Fields for 3D Video Synthesis

Lingzhi LI, Zhen Shen, Zhongshu Wang, Li Shen, Ping Tan

Supervising the Multi-Fidelity Race of Hyperparameter Configurations

Martin Wistuba, Arlind Kadra, Josif Grabocka

What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective

Huan Wang, Suhas Lohit, Michael N. Jones, Yun Fu

Prompt Certified Machine Unlearning with Randomized Gradient Smoothing and Quantization

Zijie Zhang, Yang Zhou, Xin Zhao, Tianshi Che, Lingjuan Lyu

Fault-Aware Neural Code Rankers

Jeevana Priya Inala, Chenglong Wang, Mei Yang, Andres Codas, Mark Encarnación

Signal Processing for Implicit Neural Representations

Dejia Xu, Peihao Wang, Yifan Jiang, Zhiwen Fan, Zhangyang Wang

Star Temporal Classification: Sequence Modeling with Partially Labeled Data

Vineel Pratap, Awni Hannun, Gabriel Synnaeve, Ronan Collobert

Domain Generalization without Excess Empirical Risk

Ozan Sener, Vladlen Koltun

Shield Decentralization for Safe Multi-Agent Reinforcement Learning

Daniel Melcer, Christopher Amato, Stavros Tripakis

Bridge the Gap Between Architecture Spaces via A Cross-Domain Predictor

Yuqiao Liu, Yehui Tang, Zeqiong Lv, Yunhe Wang, Yanan Sun

Fair and Efficient Allocations Without Obvious Manipulations

Alexandros Psomas, Paritosh Verma

Eliciting Thinking Hierarchy without a Prior

Yuqing Kong, Yunqi Li, Yubo Zhang, Zhihuan Huang, Jinzhao Wu

Towards Optimal Communication Complexity in Distributed Non-Convex Optimization

Kumar Kshitij Patel, Lingxiao Wang, Blake E Woodworth, Brian Bullins, Nati Srebro

Provably Efficient Model-Free Constrained RL with Linear Function Approximation

Arnob Ghosh, Xingyu Zhou, Ness Shroff

Envy-free Policy Teaching to Multiple Agents

Jiarui Gan, R Majumdar, Adish Singla, Goran Radanovic

Langevin Autoencoders for Learning Deep Latent Variable Models

Shohei Taniguchi, Yusuke Iwasawa, Wataru Kumagai, Yutaka Matsuo

The Privacy Onion Effect: Memorization is Relative

Nicholas Carlini, Matthew Jagielski, Chiyuan Zhang, Nicolas Papernot, Andreas Terzis

Learning Symmetric Rules with SATNet

Sangho Lim, Eun-Gyeol Oh, Hongseok Yang

Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection

Yiming Li, Yang Bai, Yong Jiang, Yong Yang, Shu-Tao Xia

Data-Driven Offline Decision-Making via Invariant Representation Learning

Han Qi, Yi Su, Aviral Kumar, Sergey Levine

Causal Inference with Non-IID Data using Linear Graphical Models

Chi Zhang, Karthika Mohan, Judea Pearl

Staircase Attention for Recurrent Processing of Sequences

Da JU, Stephen Roller, Sainbayar Sukhbaatar, Jason E Weston

Local Bayesian optimization via maximizing probability of descent

Quan Nguyen, Kaiwen Wu, Jacob Gardner, Roman Garnett

Increasing Confidence in Adversarial Robustness Evaluations

Roland S. Zimmermann, Wieland Brendel, Florian Tramer, Nicholas Carlini

Multi-LexSum: Real-world Summaries of Civil Rights Lawsuits at Multiple Granularities

Zejiang Shen, Kyle Lo, Lauren Yu, Nathan Dahlberg, Margo Schlanger

Selective compression learning of latent representations for variable-rate image compression

Jooyoung Lee, Seyoon Jeong, Munchurl Kim

Repairing Neural Networks by Leaving the Right Past Behind

Ryutaro Tanno, Melanie F. Pradier, Aditya Nori, Yingzhen Li

Emergent Graphical Conventions in a Visual Communication Game

Shuwen Qiu, Sirui Xie, Lifeng Fan, Tao Gao, Jungseock Joo

Amortized Inference for Causal Structure Learning

Lars Lorch, Scott Sussex, Jonas Rothfuss, Andreas Krause, Bernhard Schölkopf

VCT: A Video Compression Transformer

Fabian Mentzer, George D Toderici, David Minnen, Sergi Caelles, Sung Jin Hwang

Unlabelled Sample Compression Schemes for Intersection-Closed Classes and Extremal Classes

Joachim Rubinstein, Benjamin I. Rubinstein

Single-Stage Visual Relationship Learning using Conditional Queries

Alakh Desai, Tz-Ying Wu, Subarna Tripathi, Nuno Vasconcelos

RKHS-SHAP: Shapley Values for Kernel Methods

Siu Lun Chau, Robert Hu, Javier Gonzalez, Dino Sejdinovic

Amortized Inference for Heterogeneous Reconstruction in Cryo-EM

Axel Levy, Gordon Wetzstein, Julien N.P Martel, Frederic Poitevin, Ellen Zhong

Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning

Zhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, Yi Wu

CGLB: Benchmark Tasks for Continual Graph Learning

Xikun Zhang, Dongjin Song, Dacheng Tao

LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning

Yi-Lin Sung, Jaemin Cho, Mohit Bansal

The Dollar Street Dataset: Images Representing the Geographic and Socioeconomic Diversity of the World

William Gaviria Rojas, Sudnya Diamos, Keertan Kini, David Kanter, Vijay Janapa Reddi

Learning Substructure Invariance for Out-of-Distribution Molecular Representations

Nianzu Yang, Kaipeng Zeng, Qitian Wu, Xiaosong Jia, Junchi Yan

Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations

Axel Laborieux, Friedemann Zenke

EfficientFormer: Vision Transformers at MobileNet Speed

Yanyu Li, Geng Yuan, Yang Wen, Ju Hu, Georgios Evangelidis

Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal

Yucheng Shi, Yahong Han, Yu-an Tan, Xiaohui Kuang

Risk Bounds of Multi-Pass SGD for Least Squares in the Interpolation Regime

Difan Zou, Jingfeng Wu, Vladimir braverman, Quanquan Gu, Sham Kakade

Structural Pruning via Latency-Saliency Knapsack

Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu

Make Some Noise: Reliable and Efficient Single-Step Adversarial Training

Pau de Jorge Aranda, Adel Bibi, Riccardo Volpi, Amartya Sanyal, Philip Torr

ZARTS: On Zero-order Optimization for Neural Architecture Search

Xiaoxing Wang, Wenxuan Guo, Jianlin Su, Xiaokang Yang, Junchi Yan