ICML 2024

2,610 papers

Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization

Yichen WU, Hong Wang, Peilin Zhao, Yefeng Zheng, Ying Wei

Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE

Hao Wu, Huiyuan Wang, Kun Wang, Weiyan Wang, Changan Ye

A Theory of Fault-Tolerant Learning

Changlong Wu, Yifan Wang, Ananth Grama

Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning

Lirong Wu, Yijun Tian, Haitao Lin, Yufei Huang, Siyuan Li

Policy Learning for Balancing Short-Term and Long-Term Rewards

Peng Wu, Ziyu Shen, Feng Xie, Wang Zhongyao, Chunchen Liu

Profile Reconstruction from Private Sketches

Hao Wu, Rasmus Pagh

Learning Divergence Fields for Shift-Robust Graph Representations

Qitian Wu, Fan Nie, Chenxiao Yang, Junchi Yan

VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model

Pengying Wu, Yao Mu, Bingxian Wu, Yi Hou, Ji Ma

Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value

Young Wu, Jeremy McMahan, Yiding Chen, Yudong Chen, Jerry Zhu

Confidence-aware Contrastive Learning for Selective Classification

Yu-Chang Wu, Shen-Huan Lyu, Haopu Shang, Xiangyu Wang, Chao Qian

Transolver: A Fast Transformer Solver for PDEs on General Geometries

Haixu Wu, Huakun Luo, Haowen Wang, Jianmin Wang, Mingsheng Long

AND: Audio Network Dissection for Interpreting Deep Acoustic Models

Tung-Yu Wu, Yu-Xiang Lin, Tsui-Wei Weng

Learning Causal Relations from Subsampled Time Series with Two Time-Slices

Anpeng Wu, Haoxuan Li, Kun Kuang, Zhang Keli, Fei Wu

Surface-VQMAE: Vector-quantized Masked Auto-encoders on Molecular Surfaces

Fang Wu, Stan Z. Li

DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation

Yinjun Wu, Mayank Keoliya, Kan Chen, Neelay Velingker, Ziyang Li

Borda Regret Minimization for Generalized Linear Dueling Bandits

Yue Wu, Tao Jin, Qiwei Di, Hao Lou, Farzad Farnoud

Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models

Mingrui Wu, Jiayi Ji, Oucheng Huang, Jiale Li, Yuhang Wu

PointMC: Multi-instance Point Cloud Registration based on Maximal Cliques

Yue Wu, Xidao Hu, Yongzhe Yuan, Xiaolong Fan, Maoguo Gong

Planning, Fast and Slow: Online Reinforcement Learning with Action-Free Offline Data via Multiscale Planners

Chengjie Wu, Hao Hu, Yiqin Yang, Ning Zhang, Chongjie Zhang

Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models

Dennis Wu, Jerry Yao-Chieh Hu, Teng-Yun Hsiao, Han Liu

A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models

Yihan Wu, Zhengmian Hu, Junfeng Guo, Hongyang Zhang, Heng Huang

FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames

Ruidong Wu, Ruihan Guo, Rui Wang, Shitong Luo, Yue Xu

Understanding Stochastic Natural Gradient Variational Inference

Kaiwen Wu, Jacob R. Gardner

NExT-GPT: Any-to-Any Multimodal LLM

Shengqiong Wu, Hao Fei, Leigang Qu, Wei Ji, Tat-Seng Chua

Ditto: Quantization-aware Secure Inference of Transformers upon MPC

Haoqi Wu, Wenjing Fang, Yancheng Zheng, Junming Ma, Jin Tan

Adaptive Accompaniment with ReaLchords

Yusong Wu, Tim Cooijmans, Kyle Kastner, Adam Roberts, Ian Simon

Theoretical insights for diffusion guidance: A case study for Gaussian mixture models

Yuchen Wu, Minshuo Chen, Zihao Li, Mengdi Wang, Yuting Wei

Repoformer: Selective Retrieval for Repository-Level Code Completion

Di Wu, Wasi Uddin Ahmad, Dejiao Zhang, Murali Krishna Ramanathan, Xiaofei Ma

Optimizing Watermarks for Large Language Models

Bram Wouters

Reweighted Solutions for Weighted Low Rank Approximation

David Woodruff, Taisuke Yasuda

Coresets for Multiple ℓ_p Regression

David Woodruff, Taisuke Yasuda

Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices

Jiin Woo, Laixi Shi, Gauri Joshi, Yuejie Chi

Unified Training of Universal Time Series Forecasting Transformers

Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese

Expressivity and Generalization: Fragment-Biases for Molecular GNNs

Tom Wollschläger, Niklas Kemper, Leon Hetzel, Johanna Sommer, Stephan Günnemann

Fundamental Limitations of Alignment in Large Language Models

Yotam Wolf, Noam Wies, Oshri Avnery, Yoav Levine, Amnon Shashua

Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem

Maciej Wolczyk, Bartłomiej Cupiał, Mateusz Ostaszewski, Michał Bortkiewicz, Michał Zając

Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion models

Ludwig Winkler, Lorenz Richter, Manfred Opper

A Distributional Analogue to the Successor Representation

Harley Wiltzer, Jesse Farebrother, Arthur Gretton, Yunhao Tang, Andre Barreto

Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains

Steven Wilkins-Reeves, Xu Chen, Qi Ma, Christine Agarwal, Aude Hofleitner

QuRating: Selecting High-Quality Data for Training Language Models

Alexander Wettig, Aatmik Gupta, Saumya Malik, Danqi Chen

Stability-Informed Initialization of Neural Ordinary Differential Equations

Theodor Westny, Arman Mohammadi, Daniel Jung, Erik Frisk

On the Asymptotic Distribution of the Minimum Empirical Risk

Jacob Westerhout, TrungTin Nguyen, Xin Guo, Hien Duy Nguyen

Distributional Bellman Operators over Mean Embeddings

Li Kevin Wenliang, Grégoire Delétang, Matthew Aitchison, Marcus Hutter, Anian Ruoss

Provable Contrastive Continual Learning

Yichen Wen, Zhiquan Tan, Kaipeng Zheng, Chuanlong Xie, Weiran Huang

From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble

Qianlong Wen, Mingxuan Ju, Zhongyu Ouyang, Chuxu Zhang, Yanfang Ye

Which Frequencies do CNNs Need? Emergent Bottleneck Structure in Feature Learning

Yuxiao Wen, Arthur Jacot

Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering

Jie Wen, Shijie Deng, Waikeung Wong, Guoqing Chao, Chao Huang

Cross-domain Open-world Discovery

Shuo Wen, Maria Brbic

Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning

Xiaoyu Wen, Chenjia Bai, Kang Xu, Xudong Yu, Yang Zhang

SiT: Symmetry-invariant Transformers for Generalisation in Reinforcement Learning

Matthias Weissenbacher, Rishabh Agarwal, Yoshinobu Kawahara

Position: AI/ML Influencers Have a Place in the Academic Process

Iain Weissburg, Mehir Arora, Xinyi Wang, Liangming Pan, William Yang Wang

Extending Test-Time Augmentation with Metamorphic Relations for Combinatorial Problems

Siwei Wei, Xudong Zhang, Zhiyang Zhou, Yan Cai

Magicoder: Empowering Code Generation with OSS-Instruct

Yuxiang Wei, Zhe Wang, Jiawei Liu, Yifeng Ding, LINGMING ZHANG

Learning Label Shift Correction for Test-Agnostic Long-Tailed Recognition

Tong Wei, Zhen Mao, Zi-Hao Zhou, Yuanyu Wan, Min-ling Zhang

Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications

Boyi Wei, Kaixuan Huang, Yangsibo Huang, Tinghao Xie, Xiangyu Qi

Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models

Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Yu Li

MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance

Yake Wei, Di Hu

Rethinking Generative Large Language Model Evaluation for Semantic Comprehension

Fangyun Wei, Xi Chen, Lin Luo

Learning Pseudo-Contractive Denoisers for Inverse Problems

Deliang Wei, Peng Chen, Fang Li

Exploiting Human-AI Dependence for Learning to Defer

Zixi Wei, Yuzhou Cao, Lei Feng

Exact Soft Analytical Side-Channel Attacks using Tractable Circuits

Thomas Wedenig, Rishub Nagpal, Gaëtan Cassiers, Stefan Mangard, Robert Peharz

Learning to Compile Programs to Neural Networks

Logan Weber, Jesse Michel, Alex Renda, Michael Carbin

Reinforcement Learning and Regret Bounds for Admission Control

Lucas Weber, Ana Busic, Jiamin Zhu

Mapping the Multiverse of Latent Representations

Jeremy Wayland, Corinna Coupette, Bastian Rieck

Batch Singular Value Polarization and Weighted Semantic Augmentation for Universal Domain Adaptation

Wang Ziqi, Wei Wang, Chao Huang, Jie Wen, Cong Wang

Neural Collapse meets Differential Privacy: Curious behaviors of NoisyGD with Near-Perfect Representation Learning

Chendi Wang, Yuqing Zhu, Weijie J Su, Yu-Xiang Wang

Diffusion Language Models Are Versatile Protein Learners

Xinyou Wang, Zaixiang Zheng, Fei Ye, Dongyu Xue, Shujian Huang

Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning

Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu, Quanzeng You, Mengdi Huai

Boximator: Generating Rich and Controllable Motions for Video Synthesis

Jiawei Wang, Yuchen Zhang, Jiaxin Zou, Yan Zeng, Guoqiang Wei

Knowledge-aware Reinforced Language Models for Protein Directed Evolution

Yuhao Wang, Qiang Zhang, Ming Qin, Xiang Zhuang, Xiaotong Li

Exploring Intrinsic Dimension for Vision-Language Model Pruning

Hanzhang Wang, Jiawen Zhang, Qingyuan Ma

FreeBind: Free Lunch in Unified Multimodal Space via Knowledge Fusion

Zehan Wang, Ziang Zhang, Xize Cheng, Rongjie Huang, Luping Liu

Benign Overfitting in Adversarial Training of Neural Networks

Yunjuan Wang, Kaibo Zhang, Raman Arora

Calibration Bottleneck: Over-compressed Representations are Less Calibratable

Deng-Bao Wang, Min-ling Zhang

An Empirical Study of Realized GNN Expressiveness

Yanbo Wang, Muhan Zhang

Taylor Videos for Action Recognition

Lei Wang, Xiuyuan Yuan, Tom Gedeon, Liang Zheng

Learning with Adaptive Resource Allocation

Jing Wang, Miao Yu, Peng Zhao, Zhi-Hua Zhou

Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks

Lihao Wang, Zhaofei Yu

Can Gaussian Sketching Converge Faster on a Preconditioned Landscape?

Yilong Wang, Haishan Ye, Guang Dai, Ivor Tsang

Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits

Jiachen T. Wang, Tianji Yang, James Zou, Yongchan Kwon, Ruoxi Jia

Vision Transformers as Probabilistic Expansion from Learngene

Qiufeng Wang, Xu Yang, Haokun Chen, Xin Geng

Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization

Hao Wang, Kaifeng Yang, Michael Affenzeller

Quality-Diversity with Limited Resources

Ren-Jian Wang, Ke Xue, Cong Guan, Chao Qian

RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation

Yufei Wang, Zhou Xian, Feng Chen, Tsun-Hsuan Wang, Yian Wang

Defense against Model Extraction Attack by Bayesian Active Watermarking

Zhenyi Wang, Yihan Wu, Heng Huang

Transformers Provably Learn Sparse Token Selection While Fully-Connected Nets Cannot

Zixuan Wang, Stanley Wei, Daniel Hsu, Jason D. Lee

A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design

Zhihai Wang, Jie Wang, Dongsheng Zuo, Ji Yunjie, Xilin Xia

Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation

Yudan Wang, Yue Wang, Yi Zhou, Shaofeng Zou

Probabilistic Subgoal Representations for Hierarchical Reinforcement Learning

Vivienne Huiling Wang, Tinghuai Wang, Wenyan Yang, Joni-Kristian Kämäräinen, Joni Pajarinen

Open-Vocabulary Calibration for Fine-tuned CLIP

Shuoyuan Wang, Jindong Wang, Guoqing Wang, Bob Zhang, Kaiyang Zhou

FADAS: Towards Federated Adaptive Asynchronous Optimization

Yujia Wang, Shiqiang Wang, Songtao Lu, Jinghui Chen

A New Theoretical Perspective on Data Heterogeneity in Federated Optimization

Jiayi Wang, Shiqiang Wang, Rong-Rong Chen, Mingyue Ji

Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks

Haixiao Wang, Zhichao Wang

CW Complex Hypothesis for Image Data

Yi Wang, Zhiren Wang

Benchmarking Deletion Metrics with the Principled Explanations

Yipei Wang, Xiaoqian Wang

AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors

Yucen Wang, Shenghua Wan, Le Gan, Shuai Feng, De-Chuan Zhan

Integrated Hardware Architecture and Device Placement Search

Irene Wang, Jakub Tarnawski, Amar Phanishayee, Divya Mahajan

Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models

Hengyi Wang, Shiwei Tan, Hao Wang

RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback

Yufei Wang, Zhanyi Sun, Jesse Zhang, Zhou Xian, Erdem Biyik

The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright BreachesWithout Adjusting Finetuning Pipeline

Haonan Wang, Qianli Shen, Yao Tong, Yang Zhang, Kenji Kawaguchi