NeurIPS 2022

2,834 papers

Efficient Sampling on Riemannian Manifolds via Langevin MCMC

Xiang Cheng, Jingzhao Zhang, Suvrit Sra

🏘️ ProcTHOR: Large-Scale Embodied AI Using Procedural Generation

Matt Deitke, Eli VanderBilt, Alvaro Herrasti, Luca Weihs, Kiana Ehsani

Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design

Andrew Wagenmaker, Kevin G. Jamieson

Trajectory balance: Improved credit assignment in GFlowNets

Nikolay Malkin, Moksh Jain, Emmanuel Bengio, Chen Sun, Yoshua Bengio

SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning

Jianhong Wang, yuan zhang, Yunjie Gu, Tae-kyun Kim

On Privacy and Personalization in Cross-Silo Federated Learning

Ken Liu, Shengyuan Hu, Steven Z. Wu, Virginia Smith

Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams

Sergey Denisov, H. Brendan McMahan, John Rush, Adam Smith, Abhradeep Guha Thakurta

Geodesic Graph Neural Network for Efficient Graph Representation Learning

Lecheng Kong, Yixin Chen, Muhan Zhang

Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences

Siwei Wang, Xinwang Liu, Suyuan Liu, Jiaqi Jin, Wenxuan Tu

Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting

Alex Ororbia, Ankur Mali, C Lee Giles, Daniel Kifer

Subspace Recovery from Heterogeneous Data with Non-isotropic Noise

John C. Duchi, Vitaly Feldman, Lunjia Hu, Kunal Talwar

Active Exploration for Inverse Reinforcement Learning

David Lindner, Andreas Krause, Giorgia Ramponi

Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards

Rati Devidze, Parameswaran Kamalaruban, Adish Singla

SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction

Minhao LIU, Ailing Zeng, Muxi Chen, Zhijian Xu, Qiuxia LAI

Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation

Shiqi Yang, yaxing wang, Kai Wang, Shangling Jui, Joost van de Weijer

Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning

Qihua ZHOU, Song Guo, Yi Liu, Jie Zhang, Jiewei Zhang

DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps

Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li

CoNSoLe: Convex Neural Symbolic Learning

Haoran Li, Yang Weng, Hanghang Tong

Log-Polar Space Convolution Layers

Bing Su, Ji-Rong Wen

Fairness in Federated Learning via Core-Stability

Bhaskar Ray Chaudhury, Linyi Li, Mintong Kang, Bo Li, Ruta Mehta

(Optimal) Online Bipartite Matching with Degree Information

Anders Aamand, Justin Chen, Piotr Indyk

Self-Organized Group for Cooperative Multi-agent Reinforcement Learning

Jianzhun Shao, Zhiqiang Lou, Hongchang Zhang, Yuhang Jiang, Shuncheng He

OmniVL: One Foundation Model for Image-Language and Video-Language Tasks

Junke Wang, Dongdong Chen, Zuxuan Wu, Chong Luo, Luowei Zhou

S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning

Yabin Wang, Zhiwu Huang, Xiaopeng Hong

Neural Network Architecture Beyond Width and Depth

Shijun Zhang, Zuowei Shen, Haizhao Yang

A PAC-Bayesian Generalization Bound for Equivariant Networks

Arash Behboodi, Gabriele Cesa, Taco S Cohen

Asymptotic Properties for Bayesian Neural Network in Besov Space

Kyeongwon Lee, Jaeyong Lee

Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding

Caizhi Tang, Huiyuan Wang, Xinyu Li, Qing Cui, Ya-Lin Zhang

Semi-Supervised Video Salient Object Detection Based on Uncertainty-Guided Pseudo Labels

Yongri Piao, Chenyang Lu, Miao Zhang, Huchuan Lu

NOMAD: Nonlinear Manifold Decoders for Operator Learning

Jacob Seidman, Georgios Kissas, Paris Perdikaris, George J. Pappas

Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers

Luke Marris, Ian Gemp, Thomas Anthony, Andrea Tacchetti, Siqi Liu

Doubly-Asynchronous Value Iteration: Making Value Iteration Asynchronous in Actions

TIAN TIAN, Kenny Young, Richard S. Sutton

Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs

Seiji Maekawa, Koki Noda, Yuya Sasaki, makoto onizuka

Latent Hierarchical Causal Structure Discovery with Rank Constraints

Biwei Huang, Charles Jia Han Low, Feng Xie, Clark Glymour, Kun Zhang

Action-modulated midbrain dopamine activity arises from distributed control policies

Jack Lindsey, Ashok Litwin-Kumar

Size and depth of monotone neural networks: interpolation and approximation

Dan Mikulincer, Daniel Reichman

Towards a Standardised Performance Evaluation Protocol for Cooperative MARL

Rihab Gorsane, Omayma Mahjoub, Ruan John de Kock, Roland Dubb, Siddarth Singh

Conditional Diffusion Process for Inverse Halftoning

Hao Jiang, Yadong Mu

Non-identifiability and the Blessings of Misspecification in Models of Molecular Fitness

Eli Weinstein, Alan Amin, Jonathan Frazer, Debora Marks

ResQ: A Residual Q Function-based Approach for Multi-Agent Reinforcement Learning Value Factorization

Siqi Shen, Mengwei Qiu, Jun Liu, Weiquan Liu, Yongquan Fu

Sketching based Representations for Robust Image Classification with Provable Guarantees

Nishanth Dikkala, Sankeerth Rao Karingula, Raghu Meka, Jelani Nelson, Rina Panigrahy

On the symmetries of the synchronization problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane

Gabriele Cesa, Arash Behboodi, Taco S Cohen, Max Welling

CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks

Xuanli He, Qiongkai Xu, Yi Zeng, Lingjuan Lyu, Fangzhao Wu

Sample Constrained Treatment Effect Estimation

Raghavendra Addanki, David Arbour, Tung Mai, Cameron Musco, Anup Rao

Regret Bounds for Multilabel Classification in Sparse Label Regimes

Róbert Busa-Fekete, Heejin Choi, Krzysztof J. Dembczynski, Claudio Gentile, Henry Reeve

Scale-invariant Learning by Physics Inversion

Philipp Holl, Vladlen Koltun, Nils Thuerey

A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking

Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou

Transition to Linearity of General Neural Networks with Directed Acyclic Graph Architecture

Libin Zhu, Chaoyue Liu, Misha Belkin

Blackbox Attacks via Surrogate Ensemble Search

Zikui Cai, Chengyu Song, Srikanth Krishnamurthy, Amit Roy-Chowdhury, Salman Asif

Foundation Posteriors for Approximate Probabilistic Inference

Mike Wu, Noah Goodman

FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings

Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He

MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction

Jorge Quesada, Lakshmi Sathidevi, Ran Liu, Nauman Ahad, Joy Jackson

MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing

Zelun Luo, Zane Durante, Linden Li, Wanze Xie, Ruochen Liu

Accelerating Certified Robustness Training via Knowledge Transfer

Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati

Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations

Tessa Han, Suraj Srinivas, Himabindu Lakkaraju

Effective Dimension in Bandit Problems under Censorship

Gauthier Guinet, Saurabh Amin, Patrick Jaillet

Efficient and Modular Implicit Differentiation

Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer

Chaotic Dynamics are Intrinsic to Neural Network Training with SGD

Luis Herrmann, Maximilian Granz, Tim Landgraf

CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders

Kevin Frans, Lisa Soros, Olaf Witkowski

The computational and learning benefits of Daleian neural networks

Adam Haber, Elad Schneidman

Local-Global MCMC kernels: the best of both worlds

Sergey Samsonov, Evgeny Lagutin, Marylou Gabrie, Alain Durmus, Alexey Naumov

Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions

Ilias Diakonikolas, Daniel Kane, Jasper Lee, Ankit Pensia

Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning

Yuanpei Chen, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuan Jiang

Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning

Ziyi Zhang, Weikai Chen, Hui Cheng, Zhen Li, Siyuan Li

Data-Efficient Augmentation for Training Neural Networks

Baharan Mirzasoleiman, Tianyu Liu, Tian Yu Liu

Misspecified Phase Retrieval with Generative Priors

Zhaoqiang Liu, Xinshao Wang, Jiulong Liu

Understanding Deep Neural Function Approximation in Reinforcement Learning via ε-Greedy Exploration

Fanghui Liu, Luca Viano, Volkan Cevher

BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons

Yixing Xu, Xinghao Chen, Yunhe Wang

A Theoretical Study on Solving Continual Learning

Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu

AttCAT: Explaining Transformers via Attentive Class Activation Tokens

Yao Qiang, Deng Pan, Chengyin Li, Xin Li, Rhongho Jang

Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning

Tomoya Murata, Taiji Suzuki

MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models

Erdun Gao, Ignavier Ng, Mingming Gong, Li Shen, Wei Huang

A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks

Ganqu Cui, Lifan Yuan, Bingxiang He, Yangyi Chen, Zhiyuan Liu

Redeeming intrinsic rewards via constrained optimization

Eric Chen, Zhang-Wei Hong, Joni K. Pajarinen, Pulkit Agrawal

Unsupervised Learning From Incomplete Measurements for Inverse Problems

Julián Tachella, Dongdong Chen, Mike Davies

SegViT: Semantic Segmentation with Plain Vision Transformers

Bowen Zhang, Zhi Tian, Quan Tang, Xiangxiang Chu, Xiaolin Wei

Few-Shot Fast-Adaptive Anomaly Detection

Ze Wang, Yipin Zhou, Rui Wang, Tsung-Yu Lin, Ashish Shah

One for All: Simultaneous Metric and Preference Learning over Multiple Users

Gregory Canal, Blake Mason, Ramya Korlakai Vinayak, Robert Nowak

Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor

Lijun Zhang, Wei Jiang, Jinfeng Yi, Tianbao Yang

NaturalProver: Grounded Mathematical Proof Generation with Language Models

Sean Welleck, Jiacheng Liu, Ximing Lu, Hannaneh Hajishirzi, Yejin Choi

Discovering and Overcoming Limitations of Noise-engineered Data-free Knowledge Distillation

Piyush Raikwar, Deepak Mishra

Your Out-of-Distribution Detection Method is Not Robust!

Mohammad Azizmalayeri, Arshia Soltani Moakhar, Arman Zarei, Reihaneh Zohrabi, Mohammad Manzuri

Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps

Yue Hu, Shaoheng Fang, Zixing Lei, Yiqi Zhong, Siheng Chen

Exploitability Minimization in Games and Beyond

Denizalp Goktas, Amy Greenwald

Learning to Find Proofs and Theorems by Learning to Refine Search Strategies: The Case of Loop Invariant Synthesis

Jonathan Laurent, André Platzer

Online Learning and Pricing for Network Revenue Management with Reusable Resources

Huiwen Jia, Cong Shi, Siqian Shen

On Infinite Separations Between Simple and Optimal Mechanisms

Alexandros Psomas, Ariel Schvartzman Cohenca, S. Weinberg

Generalization Analysis of Message Passing Neural Networks on Large Random Graphs

Sohir Maskey, Ron Levie, Yunseok Lee, Gitta Kutyniok

Dynamic Tensor Product Regression

Aravind Reddy, Zhao Song, Lichen Zhang

How Powerful are K-hop Message Passing Graph Neural Networks

Jiarui Feng, Yixin Chen, Fuhai Li, Anindya Sarkar, Muhan Zhang

A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits

Jiafan He, Tianhao Wang, Yifei Min, Quanquan Gu

Learning from Future: A Novel Self-Training Framework for Semantic Segmentation

Ye Du, Yujun Shen, Haochen Wang, Jingjing Fei, Wei Li

Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent

Sebastian Dalleiger, Jilles Vreeken

Promising or Elusive? Unsupervised Object Segmentation from Real-world Single Images

Yafei YANG, Bo Yang

Differentiable Analog Quantum Computing for Optimization and Control

Jiaqi Leng, Yuxiang Peng, Yi-Ling Qiao, Ming Lin, Xiaodi Wu

EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks

Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei

The alignment property of SGD noise and how it helps select flat minima: A stability analysis

Lei Wu, Mingze Wang, Weijie Su

VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming

Eleonora Misino, Giuseppe Marra, Emanuele Sansone

Sparse Winning Tickets are Data-Efficient Image Recognizers

Mukund Varma T, Xuxi Chen, Zhenyu Zhang, Tianlong Chen, Subhashini Venugopalan

ComGAN: Unsupervised Disentanglement and Segmentation via Image Composition

Rui Ding, Kehua Guo, Xiangyuan Zhu, Zheng Wu, Liwei Wang