NeurIPS 2022

2,834 papers

Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping

Hao Sun, Lei Han, Rui Yang, Xiaoteng Ma, Jian Guo

UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup

Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li

UniGAN: Reducing Mode Collapse in GANs using a Uniform Generator

Ziqi Pan, Li Niu, Liqing Zhang

CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference

Ran Ran, Wei Wang, Quan Gang, Jieming Yin, Nuo Xu

Learning Fractional White Noises in Neural Stochastic Differential Equations

Anh Tong, Thanh Nguyen-Tang, Toan Tran, Jaesik Choi

Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations

Xiaozhuang Song, Shun Zheng, Wei Cao, James Yu, Jiang Bian

Exploration via Elliptical Episodic Bonuses

Mikael Henaff, Roberta Raileanu, Minqi Jiang, Tim Rocktäschel

Understanding the Failure of Batch Normalization for Transformers in NLP

Jiaxi Wang, Ji Wu, Lei Huang

xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery

Fernando Paolo, Tsu-ting Tim Lin, Ritwik Gupta, Bryce Goodman, Nirav Patel

Instance-optimal PAC Algorithms for Contextual Bandits

Zhaoqi Li, Lillian Ratliff, houssam nassif, Kevin G. Jamieson, Lalit Jain

A Lagrangian Duality Approach to Active Learning

Juan Elenter, Navid Naderializadeh, Alejandro Ribeiro

Lifting Weak Supervision To Structured Prediction

Harit Vishwakarma, Frederic Sala

Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix Completion

Jialun Zhang, Hong-Ming Chiu, Richard Y Zhang

Posterior Collapse of a Linear Latent Variable Model

Zihao Wang, Liu Ziyin

A Closer Look at Weakly-Supervised Audio-Visual Source Localization

Shentong Mo, Pedro Morgado

Annihilation of Spurious Minima in Two-Layer ReLU Networks

Yossi Arjevani, Michael Field

On the relationship between variational inference and auto-associative memory

Louis Annabi, Alexandre Pitti, Mathias Quoy

Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning

Yanpeng Sun, Qiang Chen, Xiangyu He, Jian Wang, Haocheng Feng

The Implicit Delta Method

Nathan Kallus, James McInerney

Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization

Omar Montasser, Steve Hanneke, Nati Srebro

Contextual Dynamic Pricing with Unknown Noise: Explore-then-UCB Strategy and Improved Regrets

Yiyun Luo, Will Wei Sun, Yufeng Liu

Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning

Minjong Yoo, SangWoo Cho, Honguk Woo

RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection

Hangjie Yuan, Jianwen Jiang, Samuel Albanie, Tao Feng, Ziyuan Huang

Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces

Alexander Thebelt, Calvin Tsay, Robert Lee, Nathan Sudermann-Merx, David Walz

Pre-Trained Model Reusability Evaluation for Small-Data Transfer Learning

Yao-Xiang Ding, Xi-Zhu Wu, Kun Zhou, Zhi-Hua Zhou

Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning

Rujie Zhong, Duohan Zhang, Lukas Schäfer, Stefano Albrecht, Josiah Hanna

Coreset for Line-Sets Clustering

Sagi Lotan, Ernesto Evgeniy Sanches Shayda, Dan Feldman

Cross-modal Learning for Image-Guided Point Cloud Shape Completion

Emanuele Aiello, Diego Valsesia, Enrico Magli

A Theoretical Framework for Inference Learning

Nick Alonso, Beren Millidge, Jeffrey Krichmar, Emre O Neftci

Theoretical analysis of deep neural networks for temporally dependent observations

Mingliang Ma, Abolfazl Safikhani

Deep Bidirectional Language-Knowledge Graph Pretraining

Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Percy Liang

Towards Diverse and Faithful One-shot Adaption of Generative Adversarial Networks

Yabo Zhang, mingshuai Yao, Yuxiang Wei, Zhilong Ji, Jinfeng Bai

PhysGNN: A Physics--Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image--Guided Neurosurgery

Yasmin Salehi, Dennis Giannacopoulos

Semi-Supervised Generative Models for Multiagent Trajectories

Dennis Fassmeyer, Pascal Fassmeyer, Ulf Brefeld

Neurosymbolic Deep Generative Models for Sequence Data with Relational Constraints

Halley Young, Maxwell Du, Osbert Bastani

Whitening Convergence Rate of Coupling-based Normalizing Flows

Felix Draxler, Christoph Schnörr, Ullrich Köthe

On the role of overparameterization in off-policy Temporal Difference learning with linear function approximation

Valentin Thomas

DMAP: a Distributed Morphological Attention Policy for learning to locomote with a changing body

Alberto Silvio Chiappa, Alessandro Marin Vargas, Alexander Mathis

Is Out-of-Distribution Detection Learnable?

Zhen Fang, Yixuan Li, Jie Lu, Jiahua Dong, Bo Han

Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation

Ioana Bica, Mihaela van der Schaar

Incentivizing Combinatorial Bandit Exploration

Xinyan Hu, Dung Ngo, Aleksandrs Slivkins, Steven Z. Wu

Nonstationary Dual Averaging and Online Fair Allocation

Luofeng Liao, Yuan Gao, Christian Kroer

Look Around and Refer: 2D Synthetic Semantics Knowledge Distillation for 3D Visual Grounding

Eslam Bakr, Yasmeen Alsaedy, Mohamed Elhoseiny

ClimbQ: Class Imbalanced Quantization Enabling Robustness on Efficient Inferences

Ting-An Chen, De-Nian Yang, Ming-syan Chen

Change-point Detection for Sparse and Dense Functional Data in General Dimensions

Carlos Misael Madrid Padilla, Daren Wang, Zifeng Zhao, Yi Yu

Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent

Ruqi Zhang, Qiang Liu, Xin Tong

FIRE: Semantic Field of Words Represented as Non-Linear Functions

Xin Du, Kumiko Tanaka-Ishii

Off-Policy Evaluation with Policy-Dependent Optimization Response

Wenshuo Guo, Michael I. Jordan, Angela Zhou

BadPrompt: Backdoor Attacks on Continuous Prompts

Xiangrui Cai, Haidong Xu, Sihan Xu, Ying Zhang, Yuan xiaojie

DART: Articulated Hand Model with Diverse Accessories and Rich Textures

Daiheng Gao, Yuliang Xiu, Kailin Li, Lixin Yang, Feng Wang

Unsupervised Causal Generative Understanding of Images

Titas Anciukevicius, Patrick Fox-Roberts, Edward Rosten, Paul Henderson

On Margin Maximization in Linear and ReLU Networks

Gal Vardi, Ohad Shamir, Nati Srebro

Heterogeneous Skill Learning for Multi-agent Tasks

Yuntao Liu, Yuan Li, Xinhai Xu, Yong Dou, Donghong Liu

GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks

Jinsung Jeon, JEONGHAK KIM, Haryong Song, Seunghyeon Cho, Noseong Park

Amortized Projection Optimization for Sliced Wasserstein Generative Models

Khai Nguyen, nhật Hồ

PDSketch: Integrated Domain Programming, Learning, and Planning

Jiayuan Mao, Tomás Lozano-Pérez, Josh Tenenbaum, Leslie P. Kaelbling

Transformers from an Optimization Perspective

Yongyi Yang, zengfeng Huang, David P. Wipf, David P Wipf

Trajectory of Mini-Batch Momentum: Batch Size Saturation and Convergence in High Dimensions

Kiwon Lee, Andrew Cheng, Elliot Paquette, Courtney Paquette

Predicting Label Distribution from Multi-label Ranking

Yunan Lu, Xiuyi Jia

GAMA: Generative Adversarial Multi-Object Scene Attacks

Abhishek Aich, Calvin-Khang Ta, Akash Gupta, Chengyu Song, Srikanth Krishnamurthy

LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning

Xi Chen, Ali Ghadirzadeh, Tianhe Yu, Jianhao Wang, Alex Yuan Gao

Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks

Yen-Cheng Liu, CHIH-YAO MA, Junjiao Tian, Zijian He, Zsolt Kira

Explain My Surprise: Learning Efficient Long-Term Memory by predicting uncertain outcomes

Artyom Sorokin, Nazar Buzun, Leonid Pugachev, Mikhail Burtsev

Towards Versatile Embodied Navigation

Hanqing Wang, Wei Liang, Luc V Gool, Wenguan Wang

Latency-aware Spatial-wise Dynamic Networks

Yizeng Han, Zhihang Yuan, Yifan Pu, Chenhao Xue, Shiji Song

Acceleration in Distributed Sparse Regression

Marie Maros, Gesualdo Scutari

Estimating the Arc Length of the Optimal ROC Curve and Lower Bounding the Maximal AUC

Song Liu

Learning Superpoint Graph Cut for 3D Instance Segmentation

Le Hui, Linghua Tang, Yaqi Shen, Jin Xie, Jian Yang

ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints

Yinpeng Dong, Shouwei Ruan, Hang Su, Caixin Kang, Xingxing Wei

Hiding Images in Deep Probabilistic Models

Haoyu Chen, Linqi Song, Zhenxing Qian, Xinpeng Zhang, Kede Ma

DeVRF: Fast Deformable Voxel Radiance Fields for Dynamic Scenes

Jia-Wei Liu, Yan-Pei Cao, Weijia Mao, Wenqiao Zhang, David Junhao Zhang

Scalable Interpretability via Polynomials

Abhimanyu Dubey, Filip Radenovic, Dhruv Mahajan

The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation?

jean barbier, TianQi Hou, Marco Mondelli, Manuel Saenz

AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

Yuanfeng Ji, Haotian Bai, Chongjian GE, jie Yang, Ye Zhu

Learning Structure from the Ground up---Hierarchical Representation Learning by Chunking

Shuchen Wu, Noemi Elteto, Ishita Dasgupta, Eric Schulz

Fuzzy Learning Machine

Junbiao Cui, Jiye Liang

Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification

Massimiliano Patacchiola, John Bronskill, Aliaksandra Shysheya, Katja Hofmann, Sebastian Nowozin

Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization

Luo Luo, Yujun Li, Cheng Chen

Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning

Jianda Chen, Sinno Pan

A Direct Approximation of AIXI Using Logical State Abstractions

Samuel Yang-Zhao, Tianyu Wang, Kee Siong Ng

Interpolation and Regularization for Causal Learning

Leena Chennuru Vankadara, Luca Rendsburg, Ulrike V. Luxburg, Debarghya Ghoshdastidar

Data-Efficient Structured Pruning via Submodular Optimization

Marwa El Halabi, Suraj Srinivas, Simon Lacoste-Julien

When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning

Haoyi Niu, shubham sharma, Yiwen Qiu, Ming Li, Guyue Zhou

SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning

Tanguy Marchand, Boris Muzellec, Constance Béguier, Jean Ogier du Terrail, Mathieu Andreux

Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks

Jiyang Guan, Jian Liang, Ran He

Revisit last-iterate convergence of mSGD under milder requirement on step size

ruinan Jin, Xingkang He, Lang Chen, Difei Cheng, Vijay Gupta

Generative multitask learning mitigates target-causing confounding

Taro Makino, Krzysztof Geras, Kyunghyun Cho

Diffusion-based Molecule Generation with Informative Prior Bridges

Lemeng Wu, Chengyue Gong, Xingchao Liu, Mao Ye, Qiang Liu

Do Residual Neural Networks discretize Neural Ordinary Differential Equations?

Michael Sander, Pierre Ablin, Gabriel Peyré

MSDS: A Large-Scale Chinese Signature and Token Digit String Dataset for Handwriting Verification

Peirong Zhang, Jiajia Jiang, Yuliang Liu, LianWen Jin

A Simple Decentralized Cross-Entropy Method

Zichen Zhang, Jun Jin, Martin Jagersand, Jun Luo, Dale Schuurmans

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang

Learning Partial Equivariances From Data

David W. Romero, Suhas Lohit

Object-Category Aware Reinforcement Learning

Qi Yi, Rui Zhang, shaohui peng, Jiaming Guo, Xing Hu

ResT V2: Simpler, Faster and Stronger

Qinglong Zhang, Yu-Bin Yang

Online Convex Optimization with Hard Constraints: Towards the Best of Two Worlds and Beyond

Hengquan Guo, Xin Liu, Honghao Wei, Lei Ying

Out-of-Distribution Detection via Conditional Kernel Independence Model

Yu Wang, Jingjing Zou, Jingyang Lin, Qing Ling, Yingwei Pan

Training with More Confidence: Mitigating Injected and Natural Backdoors During Training

Zhenting Wang, Hailun Ding, Juan Zhai, Shiqing Ma

Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization

Kun Yuan, Xinmeng Huang, Yiming Chen, Xiaohan Zhang, Yingya Zhang

Chain of Thought Imitation with Procedure Cloning

Mengjiao (Sherry) Yang, Dale Schuurmans, Pieter Abbeel, Ofir Nachum