NeurIPS 2022

2,834 papers

Multiagent Q-learning with Sub-Team Coordination

Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Matthew Taylor

HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks

Aibek Alanov, Vadim Titov, Dmitry P Vetrov

So3krates: Equivariant attention for interactions on arbitrary length-scales in molecular systems

Thorben Frank, Oliver Unke, Klaus-Robert Müller

Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations

Andreas Besginow, Markus Lange-Hegermann

Test-Time Training with Masked Autoencoders

Yossi Gandelsman, Yu Sun, Xinlei Chen, Alexei Efros

Practical Adversarial Multivalid Conformal Prediction

Osbert Bastani, Varun Gupta, Christopher Jung, Georgy Noarov, Ramya Ramalingam

Label-invariant Augmentation for Semi-Supervised Graph Classification

Han Yue, Chunhui Zhang, Chuxu Zhang, Hongfu Liu

Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching

Lei Li, Nicolas Donati, Maks Ovsjanikov

FourierFormer: Transformer Meets Generalized Fourier Integral Theorem

Tan Nguyen, Minh Pham, Tam Nguyen, Khai Nguyen, Stanley Osher

Learning Generalizable Part-based Feature Representation for 3D Point Clouds

Xin Wei, Xiang Gu, Jian Sun

Post-hoc estimators for learning to defer to an expert

Harikrishna Narasimhan, Wittawat Jitkrittum, Aditya K Menon, Ankit Rawat, Sanjiv Kumar

Training stochastic stabilized supralinear networks by dynamics-neutral growth

Wayne Soo, Máté Lengyel

Patching open-vocabulary models by interpolating weights

Gabriel Ilharco, Mitchell Wortsman, Samir Yitzhak Gadre, Shuran Song, Hannaneh Hajishirzi

Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation

Ziyu Jiang, Xuxi Chen, Xueqin Huang, Xianzhi Du, Denny Zhou

Active-Passive SimStereo - Benchmarking the Cross-Generalization Capabilities of Deep Learning-based Stereo Methods

Laurent Jospin, Allen Antony, Lian Xu, Hamid Laga, Farid Boussaid

Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset

Peter Henderson, Mark Krass, Lucia Zheng, Neel Guha, Dan Jurafsky

Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation

Viktor Bengs, Eyke Hüllermeier, Willem Waegeman

Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding

Yang Jin, yongzhi li, Zehuan Yuan, Yadong Mu

Self-Supervised Image Restoration with Blurry and Noisy Pairs

Zhilu Zhang, RongJian Xu, Ming Liu, Zifei Yan, Wangmeng Zuo

A Lower Bound of Hash Codes' Performance

Xiaosu Zhu, Jingkuan Song, Yu Lei, Lianli Gao, Hengtao Shen

Proppo: a Message Passing Framework for Customizable and Composable Learning Algorithms

Paavo Parmas, Takuma Seno

Mean Estimation with User-level Privacy under Data Heterogeneity

Rachel Cummings, Vitaly Feldman, Audra McMillan, Kunal Talwar

Minimax Regret for Cascading Bandits

Daniel Vial, Sujay Sanghavi, Sanjay Shakkottai, R. Srikant

Neural Lyapunov Control of Unknown Nonlinear Systems with Stability Guarantees

Ruikun Zhou, Thanin Quartz, Hans De Sterck, Jun Liu

A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization

Puyuan Liu, Xiang Zhang, Lili Mou

Distributionally robust weighted k-nearest neighbors

Shixiang Zhu, Liyan Xie, Minghe Zhang, RUI GAO, Yao Xie

Random Rank: The One and Only Strategyproof and Proportionally Fair Randomized Facility Location Mechanism

Haris Aziz, Alexander Lam, Mashbat Suzuki, Toby Walsh

Roadblocks for Temporarily Disabling Shortcuts and Learning New Knowledge

Hongjing Niu, Hanting Li, Feng Zhao, Bin Li

Online Minimax Multiobjective Optimization: Multicalibeating and Other Applications

Daniel D. Lee, Georgy Noarov, Mallesh Pai, Aaron Roth

Estimating graphical models for count data with applications to single-cell gene network

Feiyi Xiao, Junjie Tang, Huaying Fang, Ruibin Xi

In Differential Privacy, There is Truth: on Vote-Histogram Leakage in Ensemble Private Learning

Jiaqi Wang, Roei Schuster, I Shumailov, David Lie, Nicolas Papernot

Learning with convolution and pooling operations in kernel methods

Theodor Misiakiewicz, Song Mei

Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence

Boyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong

Rashomon Capacity: A Metric for Predictive Multiplicity in Classification

Hsiang Hsu, Flavio Calmon

Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression

Liangzu Peng, Christian Kümmerle, René Vidal

Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress

Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro, Aaron C. Courville, Marc Bellemare

SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos

Gamaleldin Elsayed, Aravindh Mahendran, Sjoerd van Steenkiste, Klaus Greff, Michael Mozer

Enhanced Bilevel Optimization via Bregman Distance

Feihu Huang, Junyi Li, Shangqian Gao, Heng Huang

An Asymptotically Optimal Batched Algorithm for the Dueling Bandit Problem

Arpit Agarwal, Rohan Ghuge, viswanath nagarajan

Domain Adaptation meets Individual Fairness. And they get along.

Debarghya Mukherjee, Felix Petersen, Mikhail Yurochkin, Yuekai Sun

Multi-objective Deep Data Generation with Correlated Property Control

Shiyu Wang, Xiaojie Guo, Xuanyang Lin, Bo Pan, Yuanqi Du

A Greek Parliament Proceedings Dataset for Computational Linguistics and Political Analysis

Konstantina Dritsa, Aikaterini Thoma, Ioannis Pavlopoulos, Panos Louridas

Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models

Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han

NCP: Neural Correspondence Prior for Effective Unsupervised Shape Matching

Souhaib Attaiki, Maks Ovsjanikov

Para-CFlows: C^k-universal diffeomorphism approximators as superior neural surrogates

Junlong Lyu, Zhitang Chen, Chang Feng, Wenjing Cun, Shengyu Zhu

Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game

Zhiyuan Yao, Zihan Ding

Discovering Design Concepts for CAD Sketches

Yuezhi Yang, Hao Pan

Robust Anytime Learning of Markov Decision Processes

Marnix Suilen, Thiago D. Simão, David B. Parker, Nils Jansen

Subquadratic Kronecker Regression with Applications to Tensor Decomposition

Matthew Fahrbach, Gang Fu, Mehrdad Ghadiri

Exploration via Planning for Information about the Optimal Trajectory

Viraj Mehta, Ian Char, Joseph Abbate, Rory Conlin, Mark Boyer

Is a Modular Architecture Enough?

Sarthak Mittal, Yoshua Bengio, Guillaume Lajoie

DeepTOP: Deep Threshold-Optimal Policy for MDPs and RMABs

Khaled Nakhleh, I-Hong Hou

AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning

Krishnateja Killamsetty, Guttu Sai Abhishek, Aakriti Lnu, Ganesh Ramakrishnan, Alexandre Evfimievski

Masked Autoencoders that Listen

Po-Yao Huang, Hu Xu, Juncheng Li, Alexei Baevski, Michael Auli

On Computing Probabilistic Explanations for Decision Trees

Marcelo Arenas, Pablo Barceló, Miguel Romero Orth, Bernardo Subercaseaux

Knowledge Distillation: Bad Models Can Be Good Role Models

Gal Kaplun, Eran Malach, Preetum Nakkiran, Shai Shalev-shwartz

Learning Active Camera for Multi-Object Navigation

Peihao Chen, Dongyu Ji, Kunyang Lin, Weiwen Hu, Wenbing Huang

Universal Rates for Interactive Learning

Steve Hanneke, Amin Karbasi, Shay Moran, Grigoris Velegkas

Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models

Dongkuan (DK) Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang

Nearly Optimal Best-of-Both-Worlds Algorithms for Online Learning with Feedback Graphs

Shinji Ito, Taira Tsuchiya, Junya Honda

When Does Differentially Private Learning Not Suffer in High Dimensions?

Xuechen Li, Daogao Liu, Tatsunori B Hashimoto, Huseyin A. Inan, Janardhan Kulkarni

Coded Residual Transform for Generalizable Deep Metric Learning

Shichao Kan, Yixiong Liang, Min Li, Yigang Cen, Jianxin Wang

Adversarial Reprogramming Revisited

Matthias Englert, Ranko Lazic

Regret Bounds for Information-Directed Reinforcement Learning

Botao Hao, Tor Lattimore

CASA: Category-agnostic Skeletal Animal Reconstruction

Yuefan Wu, Zeyuan Chen, Shaowei Liu, Zhongzheng Ren, Shenlong Wang

Unsupervised Image-to-Image Translation with Density Changing Regularization

Shaoan Xie, Qirong Ho, Kun Zhang

Retrospective Adversarial Replay for Continual Learning

Lilly Kumari, Shengjie Wang, Tianyi Zhou, Jeff A. Bilmes, Jeff A Bilmes

Assistive Teaching of Motor Control Tasks to Humans

Megha Srivastava, Erdem Biyik, Suvir Mirchandani, Noah Goodman, Dorsa Sadigh

OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology

Cheng Jiang, Asadur Chowdury, Xinhai Hou, Akhil Kondepudi, Christian Freudiger

Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization

Lei Song, Ke Xue, Xiaobin Huang, Chao Qian

Exponential Family Model-Based Reinforcement Learning via Score Matching

Gene Li, Junbo Li, Anmol Kabra, Nati Srebro, Zhaoran Wang

When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment

Zhijing Jin, Sydney Levine, Fernando Gonzalez Adauto, Ojasv Kamal, Maarten Sap

M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design

hanxue liang, Zhiwen Fan, Rishov Sarkar, Ziyu Jiang, Tianlong Chen

IKEA-Manual: Seeing Shape Assembly Step by Step

Ruocheng Wang, Yunzhi Zhang, Jiayuan Mao, Ran Zhang, Chin-Yi Cheng

Continual learning: a feature extraction formalization, an efficient algorithm, and fundamental obstructions

Binghui Peng, Andrej Risteski

Nonlinear MCMC for Bayesian Machine Learning

James Vuckovic

Adam Can Converge Without Any Modification On Update Rules

Yushun Zhang, Congliang Chen, Naichen Shi, Ruoyu Sun, Zhi-Quan Luo

Sparse Probabilistic Circuits via Pruning and Growing

Meihua Dang, Anji Liu, Guy Van den Broeck

TransBoost: Improving the Best ImageNet Performance using Deep Transduction

Omer Belhasin, Guy Bar-Shalom, Ran El-Yaniv

LTMD: Learning Improvement of Spiking Neural Networks with Learnable Thresholding Neurons and Moderate Dropout

Siqi Wang, Tee Hiang Cheng, Meng-Hiot Lim

Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability

Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang

Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization

Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng

Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems

Miguel Suau, Jinke He, Mustafa Mert Çelikok, Matthijs Spaan, Frans Oliehoek

Continuously Tempered PDMP samplers

Matthew Sutton, Robert Salomone, Augustin Chevallier, Paul Fearnhead

Simple Mechanisms for Welfare Maximization in Rich Advertising Auctions

Gagan Aggarwal, Kshipra Bhawalkar, Aranyak Mehta, Divyarthi Mohan, Alexandros Psomas

A Continuous Time Framework for Discrete Denoising Models

Andrew Campbell, Joe Benton, Valentin De Bortoli, Thomas Rainforth, George Deligiannidis

On the Learning Mechanisms in Physical Reasoning

Shiqian Li, Kewen Wu, Chi Zhang, Yixin Zhu

DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning

Siqi Xu, Lin Liu, Zhonghua Liu

What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text Inputs

Tal Shaharabany, Yoad Tewel, Lior Wolf

Model-Based Opponent Modeling

XiaoPeng Yu, Jiechuan Jiang, Wanpeng Zhang, Haobin Jiang, Zongqing Lu

Oracle Inequalities for Model Selection in Offline Reinforcement Learning

Jonathan N Lee, George Tucker, Ofir Nachum, Bo Dai, Emma Brunskill

Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances

Sloan Nietert, Ziv Goldfeld, Ritwik Sadhu, Kengo Kato

Beyond black box densities: Parameter learning for the deviated components

Dat Do, nhật Hồ, Xuanlong Nguyen

Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments

Hugo Caselles-Dupré, Olivier Sigaud, Mohamed CHETOUANI

Active Learning Helps Pretrained Models Learn the Intended Task

Alex Tamkin, Dat Nguyen, Salil Deshpande, Jesse Mu, Noah Goodman

Controllable Text Generation with Neurally-Decomposed Oracle

Tao Meng, Sidi Lu, Nanyun Peng, Kai-Wei Chang

FlyView: a bio-informed optical flow truth dataset for visual navigation using panoramic stereo vision

Alix Leroy, Graham W. Taylor

LIPS - Learning Industrial Physical Simulation benchmark suite

Milad LEYLI ABADI, Antoine Marot, Jérôme Picault, David Danan, Mouadh Yagoubi

How and Why to Manipulate Your Own Agent: On the Incentives of Users of Learning Agents

Yoav Kolumbus, Noam Nisan

On Scalable Testing of Samplers

Yash Pote, Kuldeep S Meel