NeurIPS 2023

3,540 papers

A Privacy-Friendly Approach to Data Valuation

Jiachen (Tianhao) Wang, Yuqing Zhu, Yu-Xiang Wang, Ruoxi Jia, Prateek Mittal

FedFed: Feature Distillation against Data Heterogeneity in Federated Learning

Zhiqin Yang, Yonggang Zhang, Yu Zheng, Xinmei Tian, Hao Peng

Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations

Guanren Qiao, Guiliang Liu, Pascal Poupart, Zhiqiang Xu

Robust Data Valuation with Weighted Banzhaf Values

Weida Li, Yaoliang Yu

Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification

Jintong Gao, He Zhao, Zhuo Li, Dandan Guo

PAPR: Proximity Attention Point Rendering

Yanshu Zhang, Shichong Peng, Alireza Moazeni, Ke Li

How a Student becomes a Teacher: learning and forgetting through Spectral methods

Lorenzo Giambagli, Lorenzo Buffoni, Lorenzo Chicchi, Duccio Fanelli

Online List Labeling with Predictions

Samuel McCauley, Ben Moseley, Aidin Niaparast, Shikha Singh

Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL

Yang Yue, Rui Lu, Bingyi Kang, Shiji Song, Gao Huang

Optimal Unbiased Randomizers for Regression with Label Differential Privacy

Ashwinkumar Badanidiyuru Varadaraja, Badih Ghazi, Pritish Kamath, Ravi Kumar, Ethan Leeman

Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union

Zifu Wang, Maxim Berman, Amal Rannen-Triki, Philip Torr, Devis Tuia

EgoEnv: Human-centric environment representations from egocentric video

Tushar Nagarajan, Santhosh Kumar Ramakrishnan, Ruta Desai, James Hillis, Kristen Grauman

Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing

Nived Rajaraman, Fnu Devvrit, Aryan Mokhtari, Kannan Ramchandran

Binarized Neural Machine Translation

Yichi Zhang, Ankush Garg, Yuan Cao, Lukasz Lew, Behrooz Ghorbani

p-Poisson surface reconstruction in curl-free flow from point clouds

Yesom Park, Taekyung Lee, Jooyoung Hahn, Myungjoo Kang

Revisiting Implicit Differentiation for Learning Problems in Optimal Control

Ming Xu, Timothy L. Molloy, Stephen Gould

Ess-InfoGAIL: Semi-supervised Imitation Learning from Imbalanced Demonstrations

Huiqiao Fu, Kaiqiang Tang, Yuanyang Lu, Yiming Qi, Guizhou Deng

Multi-Object Representation Learning via Feature Connectivity and Object-Centric Regularization

Alex Foo, Wynne Hsu, Mong Li Lee

Learning to Configure Separators in Branch-and-Cut

Sirui Li, Wenbin Ouyang, Max Paulus, Cathy Wu

Zero-sum Polymatrix Markov Games: Equilibrium Collapse and Efficient Computation of Nash Equilibria

Fivos Kalogiannis, Ioannis Panageas

Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data

Ruiqi Zhang, Andrea Zanette

An Efficient Doubly-Robust Test for the Kernel Treatment Effect

Diego Martinez Taboada, Aaditya Ramdas, Edward Kennedy

InsActor: Instruction-driven Physics-based Characters

Jiawei Ren, Mingyuan Zhang, Cunjun Yu, Xiao Ma, Liang Pan

Equivariant flow matching

Leon Klein, Andreas Krämer, Frank Noe

Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates

Guangchen Lan, Han Wang, James Anderson, Christopher Brinton, Vaneet Aggarwal

Pairwise GUI Dataset Construction Between Android Phones and Tablets

Han Hu, Haolan Zhan, Yujin Huang, Di Liu

Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning

Guozheng Ma, Linrui Zhang, Haoyu Wang, Lu Li, Zilin Wang

Fast Attention Over Long Sequences With Dynamic Sparse Flash Attention

Matteo Pagliardini, Daniele Paliotta, Martin Jaggi, Francois Fleuret

SSL4EO-L: Datasets and Foundation Models for Landsat Imagery

Adam Stewart, Nils Lehmann, Isaac Corley, Yi Wang, Yi-Chia Chang

Path Regularization: A Convexity and Sparsity Inducing Regularization for Parallel ReLU Networks

Tolga Ergen, Mert Pilanci

Unifying GANs and Score-Based Diffusion as Generative Particle Models

Jean-Yves Franceschi, Mike Gartrell, Ludovic DOS SANTOS, Thibaut Issenhuth, Emmanuel de Bézenac

AndroidInTheWild: A Large-Scale Dataset For Android Device Control

Christopher Rawles, Alice Li, Daniel Rodriguez, Oriana Riva, Timothy Lillicrap

Focus Your Attention when Few-Shot Classification

Haoqing Wang, Shibo Jie, Zhihong Deng

What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks

Taicheng Guo, kehan Guo, Bozhao Nan, Zhenwen Liang, Zhichun Guo

Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents

Wenlong Huang, Fei Xia, Dhruv Shah, Danny Driess, Andy Zeng

Rotating Features for Object Discovery

Sindy Löwe, Phillip Lippe, Francesco Locatello, Max Welling

Learning from Visual Observation via Offline Pretrained State-to-Go Transformer

Bohan Zhou, Ke Li, Jiechuan Jiang, Zongqing Lu

Learning From Biased Soft Labels

Hua Yuan, Yu Shi, Ning Xu, Xu Yang, Xin Geng

Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning

Matthias Gerstgrasser, Tom Danino, Sarah Keren

What Planning Problems Can A Relational Neural Network Solve?

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

MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation

Marco Bellagente, Manuel Brack, Hannah Teufel, Felix Friedrich, Björn Deiseroth

Policy Gradient for Rectangular Robust Markov Decision Processes

Navdeep Kumar, Esther Derman, Matthieu Geist, Kfir Y. Levy, Shie Mannor

SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems

Christopher Yeh, Victor Li, Rajeev Datta, Julio Arroyo, Nicolas Christianson

PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks

Ian Char, Jeff G. Schneider

Probabilistic Weight Fixing: Large-scale training of neural network weight uncertainties for quantisation.

Chris Subia-Waud, Srinandan Dasmahapatra

Adapting Fairness Interventions to Missing Values

Raymond Feng, Flavio Calmon, Hao Wang

Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals

Tingting Dan, Jiaqi Ding, Ziquan Wei, Shahar Kovalsky, Minjeong Kim

Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons

Luke Taylor, Andrew King, Nicol S Harper

HASSOD: Hierarchical Adaptive Self-Supervised Object Detection

Shengcao Cao, Dhiraj Joshi, Liangyan Gui, Yu-Xiong Wang

A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs

Zhaocheng Zhu, Xinyu Yuan, Michael Galkin, Louis-Pascal Xhonneux, Ming Zhang

To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis

Fuzhao Xue, Yao Fu, Wangchunshu Zhou, Zangwei Zheng, Yang You

RH-BrainFS: Regional Heterogeneous Multimodal Brain Networks Fusion Strategy

Hongting Ye, Yalu Zheng, Yueying Li, Ke ZHANG, Youyong Kong

Dynamic Pricing and Learning with Bayesian Persuasion

Shipra Agrawal, Yiding Feng, Wei Tang

How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization

Hai Zhang, Hang Yu, Junqiao Zhao, Di Zhang, Xiao Zhang

Revisiting Visual Model Robustness: A Frequency Long-Tailed Distribution View

Zhiyu Lin, Yifei Gao, Yunfan Yang, Jitao Sang

Entropy-dissipation Informed Neural Network for McKean-Vlasov Type PDEs

Zebang Shen, Zhenfu Wang

On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks

Laura F. Nern, Harsh Raj, Maurice André Georgi, Yash Sharma

Online RL in Linearly q^π-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore

Gellert Weisz, András György, Csaba Szepesvári

The Waymo Open Sim Agents Challenge

Nico Montali, John Lambert, Paul Mougin, Alex Kuefler, Nicholas Rhinehart

H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection

Yi Yu, Xue Yang, Qingyun Li, Yue Zhou, Feipeng Da

UE4-NeRF:Neural Radiance Field for Real-Time Rendering of Large-Scale Scene

Jiaming Gu, Minchao Jiang, hongsheng Li, Xiaoyuan Lu, Guangming Zhu

Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback

Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Xuezhou Zhang, Shuai Li

Deep Non-line-of-sight Imaging from Under-scanning Measurements

Yue Li, Yueyi Zhang, Juntian Ye, Feihu Xu, Zhiwei Xiong

Towards Optimal Caching and Model Selection for Large Model Inference

Banghua Zhu, Ying Sheng, Lianmin Zheng, Clark Barrett, Michael I. Jordan

TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning

Shuo Sun, Molei Qin, Wentao Zhang, Haochong Xia, Chuqiao Zong

Towards Optimal Effective Resistance Estimation

Rajat Vadiraj Dwaraknath, Ishani Karmarkar, Aaron Sidford

Fine-Grained Human Feedback Gives Better Rewards for Language Model Training

Zeqiu Wu, Yushi Hu, Weijia Shi, Nouha Dziri, Alane Suhr

Bridging RL Theory and Practice with the Effective Horizon

Cassidy Laidlaw, Anca Dragan, Stuart J. Russell, Stuart J Russell

MADG: Margin-based Adversarial Learning for Domain Generalization

Aveen Dayal, Vimal K B, Linga Reddy Cenkeramaddi, C Mohan, Abhinav Kumar

Text-to-Image Diffusion Models are Zero Shot Classifiers

Kevin Clark, Priyank Jaini

Reducing Shape-Radiance Ambiguity in Radiance Fields with a Closed-Form Color Estimation Method

Qihang Fang, Yafei Song, Keqiang Li, Liefeng Bo

Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks

Qi Xu, Yuyuan Gao, Jiangrong Shen, Yaxin Li, Xuming Ran

Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer

Bowen Tan, Yun Zhu, Lijuan Liu, Eric P. Xing, Zhiting Hu

Maximum Average Randomly Sampled: A Scale Free and Non-parametric Algorithm for Stochastic Bandits

Masoud Moravej Khorasani, Erik Weyer

Causal normalizing flows: from theory to practice

Adrián Javaloy, Pablo Sanchez-Martin, Isabel Valera

Randomized and Deterministic Maximin-share Approximations for Fractionally Subadditive Valuations

Hannaneh Akrami, Kurt Mehlhorn, Masoud Seddighin, Golnoosh Shahkarami

Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions

Çağlar Hızlı, ST John, Anne Juuti, Tuure Saarinen, Kirsi Pietiläinen

Counterfactual Evaluation of Peer-Review Assignment Policies

Martin Saveski, Steven Jecmen, Nihar Shah, Johan Ugander

Generalized Information-theoretic Multi-view Clustering

Weitian Huang, Sirui Yang, Hongmin Cai

MixFormerV2: Efficient Fully Transformer Tracking

Yutao Cui, Tianhui Song, Gangshan Wu, Limin Wang

3D-Aware Visual Question Answering about Parts, Poses and Occlusions

Xingrui Wang, Wufei Ma, Zhuowan Li, Adam Kortylewski, Alan L. Yuille

Joint Attribute and Model Generalization Learning for Privacy-Preserving Action Recognition

Duo Peng, Li Xu, Qiuhong Ke, Ping Hu, Jun Liu

Efficient Hyper-parameter Optimization with Cubic Regularization

Zhenqian Shen, Hansi Yang, Yong Li, James T. Kwok, Quanming Yao

A Competitive Algorithm for Agnostic Active Learning

Yihan Zhou, ecprice

Stable Diffusion is Unstable

Chengbin Du, Yanxi Li, Zhongwei Qiu, Chang Xu

Towards Distribution-Agnostic Generalized Category Discovery

Jianhong Bai, Zuozhu Liu, Hualiang Wang, Ruizhe Chen, Lianrui Mu

Blurred-Dilated Method for Adversarial Attacks

Yang Deng, Weibin Wu, Jianping Zhang, Zibin Zheng

Conditional independence testing under misspecified inductive biases

Felipe Maia Polo, Yuekai Sun, Moulinath Banerjee

CS-Isolate: Extracting Hard Confident Examples by Content and Style Isolation

Yexiong Lin, Yu Yao, Xiaolong Shi, Mingming Gong, Xu Shen

Federated Spectral Clustering via Secure Similarity Reconstruction

Dong Qiao, Chris Ding, Jicong Fan

Towards Consistent Video Editing with Text-to-Image Diffusion Models

Zicheng Zhang, Bonan Li, Xuecheng Nie, Congying Han, Tiande Guo

Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations

Lifan Yuan, Yangyi Chen, Ganqu Cui, Hongcheng Gao, FangYuan Zou

Identifiable Contrastive Learning with Automatic Feature Importance Discovery

Qi Zhang, Yifei Wang, Yisen Wang

Beyond probability partitions: Calibrating neural networks with semantic aware grouping

De-Chuan Zhan, Le Gan, Jiaqi Yang, Jia-Qi Yang

Game Solving with Online Fine-Tuning

Ti-Rong Wu, Hung Guei, Ting Han Wei, Chung-Chin Shih, Jui-Te Chin

Non-Rigid Shape Registration via Deep Functional Maps Prior

Puhua Jiang, Mingze Sun, Ruqi Huang

4M: Massively Multimodal Masked Modeling

David Mizrahi, Roman Bachmann, Oguzhan Kar, Teresa Yeo, Mingfei Gao

DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning

Alexander H. Liu, Heng-Jui Chang, Michael Auli, Wei-Ning Hsu, Jim Glass

Reverse Engineering Self-Supervised Learning

Ido Ben-Shaul, Ravid Shwartz-Ziv, Tomer Galanti, Shai Dekel, Yann LeCun

ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation

Chenyang Le, Yao Qian, Long Zhou, Shujie LIU, Yanmin Qian