NeurIPS 2022

2,834 papers

Robust Reinforcement Learning using Offline Data

Kishan Panaganti, Zaiyan Xu, Dileep Kalathil, Mohammad Ghavamzadeh

When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits

Achraf Azize, Debabrota Basu

Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality

Jibang Wu, Weiran Shen, Fei Fang, Haifeng Xu

HSDF: Hybrid Sign and Distance Field for Modeling Surfaces with Arbitrary Topologies

Li Wang, jie Yang, Weikai Chen, Xiaoxu Meng, Bo Yang

GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks

Xingting Yao, Fanrong Li, Zitao Mo, Jian Cheng

ADBench: Anomaly Detection Benchmark

Songqiao Han, Xiyang Hu, Hailiang Huang, Minqi Jiang, Yue Zhao

Differentially Private Learning with Margin Guarantees

Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh

Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks

Indradyumna Roy, Soumen Chakrabarti, Abir De

Peripheral Vision Transformer

Juhong Min, Yucheng Zhao, Chong Luo, Minsu Cho

Robust Graph Structure Learning via Multiple Statistical Tests

Yaohua Wang, Fangyi Zhang, Ming Lin, Senzhang Wang, Xiuyu Sun

Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations

Ivan Marisca, Andrea Cini, Cesare Alippi

Towards Learning Universal Hyperparameter Optimizers with Transformers

Yutian Chen, Xingyou Song, Chansoo Lee, Zi Wang, Richard Zhang

ATD: Augmenting CP Tensor Decomposition by Self Supervision

Chaoqi Yang, Cheng Qian, Navjot Singh, Cao (Danica) Xiao, M Westover

GAGA: Deciphering Age-path of Generalized Self-paced Regularizer

Xingyu Qu, Diyang Li, Xiaohan Zhao, Bin Gu

Teach Less, Learn More: On the Undistillable Classes in Knowledge Distillation

Yichen Zhu, Ning Liu, Zhiyuan Xu, Xin Liu, Weibin Meng

Learning to Compare Nodes in Branch and Bound with Graph Neural Networks

Abdel Ghani Labassi, Didier Chetelat, Andrea Lodi

TarGF: Learning Target Gradient Field to Rearrange Objects without Explicit Goal Specification

Mingdong Wu, Fangwei Zhong, Yulong Xia, Hao Dong

MAgNet: Mesh Agnostic Neural PDE Solver

Oussama Boussif, Yoshua Bengio, Loubna Benabbou, Dan Assouline

Factored Adaptation for Non-Stationary Reinforcement Learning

Fan Feng, Biwei Huang, Kun Zhang, Sara Magliacane

Unsupervised Learning of Group Invariant and Equivariant Representations

Robin Winter, Marco Bertolini, Tuan Le, Frank Noe, Djork-Arné Clevert

On the Stability and Scalability of Node Perturbation Learning

Naoki Hiratani, Yash Mehta, Timothy Lillicrap, Peter E. Latham, Peter E Latham

Collaborative Learning of Discrete Distributions under Heterogeneity and Communication Constraints

Xinmeng Huang, Donghwan Lee, Edgar Dobriban, Hamed Hassani

Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations

Miao Zhang, Wei Huang, Bin Yang

On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning

Lorenzo Bonicelli, Matteo Boschini, Angelo Porrello, Concetto Spampinato, SIMONE CALDERARA

SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks

Davide Buffelli, Pietro Lió, Fabio Vandin

BYOL-Explore: Exploration by Bootstrapped Prediction

Zhaohan Guo, Shantanu Thakoor, Miruna Pislar, Bernardo Avila Pires, Florent Altché

GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images

Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin

Module-Aware Optimization for Auxiliary Learning

Hong Chen, Xin Wang, Yue Liu, Yuwei Zhou, Chaoyu Guan

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

Hugo Laurençon, Lucile Saulnier, Thomas Wang, Christopher Akiki, Albert Villanova del Moral

ORIENT: Submodular Mutual Information Measures for Data Subset Selection under Distribution Shift

Athresh Karanam, Krishnateja Killamsetty, Harsha Kokel, Rishabh Iyer

DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data

Tiantian Fang, Ruoyu Sun, Alex Schwing

Generating Long Videos of Dynamic Scenes

Tim Brooks, Janne Hellsten, Miika Aittala, Ting-Chun Wang, Timo Aila

Modeling Human Exploration Through Resource-Rational Reinforcement Learning

Marcel Binz, Eric Schulz

Provable Benefit of Multitask Representation Learning in Reinforcement Learning

Yuan Cheng, Songtao Feng, Jing Yang, Hong Zhang, Yingbin Liang

Social-Inverse: Inverse Decision-making of Social Contagion Management with Task Migrations

Guangmo Tong

Fair Ranking with Noisy Protected Attributes

Anay Mehrotra, Nisheeth Vishnoi

Are All Losses Created Equal: A Neural Collapse Perspective

Jinxin Zhou, Chong You, Xiao Li, Kangning Liu, Sheng Liu

Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space

Yunbum Kook, Ruoqi Shen, Santosh Vempala, Yin Tat Lee, Yin-Tat Lee

Autoregressive Search Engines: Generating Substrings as Document Identifiers

Michele Bevilacqua, Giuseppe Ottaviano, Patrick Lewis, Scott Yih, Sebastian Riedel

BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression

Haoyu Zhao, Boyue Li, Zhize Li, Peter Richtarik, Yuejie Chi

A Differentially Private Linear-Time fPTAS for the Minimum Enclosing Ball Problem

Bar Mahpud, Or Sheffet

Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference

Vo Nguyen Le Duy, Shogo Iwazaki, Ichiro Takeuchi

TGEA 2.0: A Large-Scale Diagnostically Annotated Dataset with Benchmark Tasks for Text Generation of Pretrained Language Models

Huibin Ge, Xiaohu Zhao, Chuang Liu, Yulong Zeng, Qun Liu

Nearly-Tight Bounds for Testing Histogram Distributions

Clément L Canonne, Ilias Diakonikolas, Daniel Kane, Sihan Liu

ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization

Qishi Dong, Awais Muhammad, Fengwei Zhou, Chuanlong Xie, Tianyang Hu

Visual Concepts Tokenization

Tao Yang, Yuwang Wang, Yan Lu, Nanning Zheng

HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding

Yi.shi Xu, Dongsheng Wang, Bo Chen, Ruiying Lu, Zhibin Duan

First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization

Siddharth Reddy, Sergey Levine, Anca Dragan

Black-Box Generalization: Stability of Zeroth-Order Learning

Konstantinos Nikolakakis, Farzin Haddadpour, Dionysis Kalogerias, Amin Karbasi

Conformal Off-Policy Prediction in Contextual Bandits

Muhammad Faaiz Taufiq, Jean-Francois Ton, Rob Cornish, Yee Whye Teh, Arnaud Doucet

Symmetry-induced Disentanglement on Graphs

Giangiacomo Mercatali, Andre Freitas, Vikas Garg

Data augmentation for efficient learning from parametric experts

Alexandre Galashov, Josh S Merel, Nicolas Heess

BagFlip: A Certified Defense Against Data Poisoning

Yuhao Zhang, Aws Albarghouthi, Loris D'Antoni

PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization

Sanae Lotfi, Marc Finzi, Sanyam Kapoor, Andres Potapczynski, Micah Goldblum

Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation

Haoyu Peter Wang, Nan Wu, Hang Yang, Cong Hao, Pan Li

Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention

Hao Zheng, Hui Lin, Rong Zhao, Luping Shi

Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning

Dongmin Park, Yooju Shin, Jihwan Bang, Youngjun Lee, Hwanjun Song

CageNeRF: Cage-based Neural Radiance Field for Generalized 3D Deformation and Animation

Yicong Peng, Yichao Yan, Shengqi Liu, Yuhao Cheng, Shanyan Guan

Parametrically Retargetable Decision-Makers Tend To Seek Power

Alex Turner, Prasad Tadepalli

Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries

Fabrizio Frasca, Beatrice Bevilacqua, Michael Bronstein, Haggai Maron

GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models

Chen Liang, Wenguan Wang, Jiaxu Miao, Yi Yang

Expected Frequency Matrices of Elections: Computation, Geometry, and Preference Learning

Niclas Boehmer, Robert Bredereck, Edith Elkind, Piotr Faliszewski, Stanisław Szufa

A Unified Sequence Interface for Vision Tasks

Ting Chen, Saurabh Saxena, Lala Li, Tsung-Yi Lin, David J Fleet

Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise

Eduard Gorbunov, Marina Danilova, David Dobre, Pavel Dvurechenskii, Alexander Gasnikov

DDXPlus: A New Dataset For Automatic Medical Diagnosis

Arsene Fansi Tchango, Rishab Goel, Zhi Wen, Julien Martel, Joumana Ghosn

Infinite Recommendation Networks: A Data-Centric Approach

Noveen Sachdeva, Mehak Dhaliwal, Carole-Jean Wu, Julian J. Mcauley

Supported Policy Optimization for Offline Reinforcement Learning

Jialong Wu, Haixu Wu, Zihan Qiu, Jianmin Wang, Mingsheng Long

MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training

De-An Huang, Zhiding Yu, Anima Anandkumar

The Burer-Monteiro SDP method can fail even above the Barvinok-Pataki bound

Liam O'Carroll, Vaidehi Srinivas, Aravindan Vijayaraghavan

Large-scale Optimization of Partial AUC in a Range of False Positive Rates

Yao Yao, Qihang Lin, Tianbao Yang

Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation

Jieyi Bi, Yining Ma, Jiahai Wang, Zhiguang Cao, Jinbiao Chen

Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems

Pouria Mahdavinia, Yuyang Deng, Haochuan Li, Mehrdad Mahdavi

Pre-Trained Language Models for Interactive Decision-Making

Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang

Falconn++: A Locality-sensitive Filtering Approach for Approximate Nearest Neighbor Search

Ninh Pham, Tao Liu

Anticipating Performativity by Predicting from Predictions

Celestine Mendler-Dünner, Frances Ding, Yixin Wang

Root Cause Analysis of Failures in Microservices through Causal Discovery

Azam Ikram, Sarthak Chakraborty, Subrata Mitra, Shiv Saini, Saurabh Bagchi

Relational Proxies: Emergent Relationships as Fine-Grained Discriminators

ABHRA CHAUDHURI, Massimiliano Mancini, Zeynep Akata, Anjan Dutta

Geometry-aware Two-scale PIFu Representation for Human Reconstruction

Zheng Dong, Ke Xu, Ziheng Duan, Hujun Bao, Weiwei Xu

MAtt: A Manifold Attention Network for EEG Decoding

Yue-Ting Pan, Jing-Lun Chou, Chun-Shu Wei

Adversarial Task Up-sampling for Meta-learning

Yichen WU, Long-Kai Huang, Ying Wei

Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently

Haoyuan Sun, Kwangjun Ahn, CHRISTOS THRAMPOULIDIS, Navid Azizan

Optimal Algorithms for Decentralized Stochastic Variational Inequalities

Dmitry Kovalev, Aleksandr Beznosikov, Abdurakhmon Sadiev, Michael Persiianov, Peter Richtarik

A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning

Bo Liu, Xidong Feng, Jie Ren, Luo Mai, Rui Zhu

Certifying Some Distributional Fairness with Subpopulation Decomposition

Mintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang

Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space

Jinghuan Shang, Srijan Das, Michael Ryoo

Conformal Prediction with Temporal Quantile Adjustments

Zhen Lin, Shubhendu Trivedi, Jimeng Sun

Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning

Yixuan Pei, Zhiwu Qing, Jun CEN, Xiang Wang, Shiwei Zhang

Text Classification with Born's Rule

Emanuele Guidotti, Alfio Ferrara

Distributional Reinforcement Learning for Risk-Sensitive Policies

Shiau Hong Lim, ILYAS MALIK

From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent

Christopher M De Sa, Satyen Kale, Jason Lee, Ayush Sekhari, Karthik Sridharan

Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach

Peng Mi, Li Shen, Tianhe Ren, Yiyi Zhou, Xiaoshuai Sun

Analyzing Lottery Ticket Hypothesis from PAC-Bayesian Theory Perspective

Keitaro Sakamoto, Issei Sato

TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition

Yongwei Chen, Rui Chen, Jiabao Lei, Yabin Zhang, Kui Jia

Active Learning of Classifiers with Label and Seed Queries

Marco Bressan, Nicolò Cesa-bianchi, Silvio Lattanzi, Andrea Paudice, Maximilian Thiessen

Graph Coloring via Neural Networks for Haplotype Assembly and Viral Quasispecies Reconstruction

Hansheng Xue, Vaibhav Rajan, Yu Lin

TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels

Yaodong Yu, Alexander Wei, Sai Praneeth Karimireddy, Yi Ma, Michael I. Jordan

Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels?

Xiang Li, Jinghuan Shang, Srijan Das, Michael Ryoo

BLOX: Macro Neural Architecture Search Benchmark and Algorithms

Thomas Chau, Łukasz Dudziak, Hongkai Wen, Nicholas Lane, Mohamed Abdelfattah

Get More at Once: Alternating Sparse Training with Gradient Correction

Li Yang, Jian Meng, Jae-sun Seo, Deliang Fan

Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching

Byoungjip Kim, Sungik Choi, Dasol Hwang, Moontae Lee, Honglak Lee