ICML 2024

2,610 papers

A Dense Reward View on Aligning Text-to-Image Diffusion with Preference

Shentao Yang, Tianqi Chen, Mingyuan Zhou

DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent)

Zongxin Yang, Guikun Chen, Xiaodi Li, Wenguan Wang, Yi Yang

Sample-Efficient Multiagent Reinforcement Learning with Reset Replay

Yaodong Yang, Guangyong Chen, Jianye Hao, Pheng-Ann Heng

Mind the Boundary: Coreset Selection via Reconstructing the Decision Boundary

Shuo Yang, Zhe Cao, Sheng Guo, Ruiheng Zhang, Ping Luo

Do Efficient Transformers Really Save Computation?

Kai Yang, Jan Ackermann, Zhenyu He, Guhao Feng, Bohang Zhang

Reducing Balancing Error for Causal Inference via Optimal Transport

Yuguang Yan, Hao Zhou, Zeqin Yang, Weilin Chen, Ruichu Cai

Retrieval Across Any Domains via Large-scale Pre-trained Model

Jiexi Yan, Zhihui Yin, Chenghao Xu, Cheng Deng, Heng Huang

Foundations of Testing for Finite-Sample Causal Discovery

Tom Yan, Ziyu Xu, Zachary Chase Lipton

Handling Heterogeneous Curvatures in Bandit LQR Control

Yu-Hu Yan, Jing Wang, Peng Zhao

Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching

Kai Yan, Alex Schwing, Yu-Xiong Wang

A Space Group Symmetry Informed Network for O(3) Equivariant Crystal Tensor Prediction

Keqiang Yan, Alexandra Saxton, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji

Exploring the LLM Journey from Cognition to Expression with Linear Representations

Yuzi Yan, Jialian Li, Yipin Zhang, Dong Yan

Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model

Tijin Yan, Hengheng Gong, He Yongping, Yufeng Zhan, Yuanqing Xia

Kunda Yan, Sen Cui, Abudukelimu Wuerkaixi, Jingfeng ZHANG, Bo Han

Mean Field Langevin Actor-Critic: Faster Convergence and Global Optimality beyond Lazy Learning

Kakei Yamamoto, Kazusato Oko, Zhuoran Yang, Taiji Suzuki

FairProof : Confidential and Certifiable Fairness for Neural Networks

Chhavi Yadav, Amrita Roy Chowdhury, Dan Boneh, Kamalika Chaudhuri

Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations

Kaiwen Xue, Yuhao Zhou, Shen Nie, Xu Min, Xiaolu Zhang

OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Fuzhao Xue, Zian Zheng, Yao Fu, Jinjie Ni, Zangwei Zheng

Offline Multi-Objective Optimization

Ke Xue, Rongxi Tan, Xiaobin Huang, Chao Qian

Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings

Yihao Xue, Ali Payani, Yu Yang, Baharan Mirzasoleiman

Iterative Regularized Policy Optimization with Imperfect Demonstrations

Gong Xudong, Feng Dawei, Kele Xu, Yuanzhao Zhai, Chengkang Yao

Exponential Spectral Pursuit: An Effective Initialization Method for Sparse Phase Retrieval

Mengchu Xu, Yuxuan Zhang, Jian Wang

Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning

Jing Xu, Jingzhao Zhang

Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference

Jian Xu, Delu Zeng, John Paisley

Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble

Chenhui Xu, Fuxun Yu, Zirui Xu, Nathan Inkawhich, Xiang Chen

Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game

Zelai Xu, Chao Yu, Fei Fang, Yu Wang, Yi Wu

A Sparsity Principle for Partially Observable Causal Representation Learning

Danru Xu, Dingling Yao, Sébastien Lachapelle, Perouz Taslakian, Julius von Kügelgen

Libra: Building Decoupled Vision System on Large Language Models

Yifan Xu, Xiaoshan Yang, Yaguang Song, Changsheng Xu

SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter

Haobo Xu, Yuchen Yan, Dingsu Wang, Zhe Xu, Zhichen Zeng

Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement

Sheng Xu, Mingze Wang, Yanjing Li, Mingbao Lin, Baochang Zhang

Principled Preferential Bayesian Optimization

Wenjie Xu, Wenbin Wang, Yuning Jiang, Bratislav Svetozarevic, Colin Jones

Pricing with Contextual Elasticity and Heteroscedastic Valuation

Jianyu Xu, Yu-Xiang Wang

Learning Exceptional Subgroups by End-to-End Maximizing KL-Divergence

Sascha Xu, Nils Philipp Walter, Janis Kalofolias, Jilles Vreeken

Robust Universal Adversarial Perturbations

Changming Xu, Gagandeep Singh

Adaptive Group Personalization for Federated Mutual Transfer Learning

Haoqing Xu, Dian Shen, Meng Wang, Beilun Wang

Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Haoran Xu, Amr Sharaf, Yunmo Chen, Weiting Tan, Lingfeng Shen

Soft Prompt Recovers Compressed LLMs, Transferably

Zhaozhuo Xu, Zirui Liu, Beidi Chen, Shaochen Zhong, Yuxin Tang

Robust Inverse Constrained Reinforcement Learning under Model Misspecification

Sheng Xu, Guiliang Liu

Yue Xu, Zhilin Lin, Yusong Qiu, Cewu Lu, Yong-Lu Li

Prompt-guided Precise Audio Editing with Diffusion Models

Manjie Xu, Chenxing Li, Duzhen Zhang, Dan Su, Wei Liang

Meta-Reinforcement Learning Robust to Distributional Shift Via Performing Lifelong In-Context Learning

Tengye Xu, Zihao Li, Qinyuan Ren

Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network Module

Yixing Xu, CHAO LI, Dong Li, Xiao Sheng, Fan Jiang

Conformal prediction for multi-dimensional time series by ellipsoidal sets

Chen Xu, Hanyang Jiang, Yao Xie

BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model

Chenwei Xu, Yu-Chao Huang, Jerry Yao-Chieh Hu, Weijian Li, Ammar Gilani

Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning

Ning Xu, Yihao Hu, Congyu Qiao, Xin Geng

Equivariant Graph Neural Operator for Modeling 3D Dynamics

Minkai Xu, Jiaqi Han, Aaron Lou, Jean Kossaifi, Arvind Ramanathan

Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity Theory

Kai Xu, Hong Ge

Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study

Shusheng Xu, Wei Fu, Jiaxuan Gao, Wenjie Ye, Weilin Liu

Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate

Yuancheng Xu, Chenghao Deng, Yanchao Sun, Ruijie Zheng, Xiyao Wang

DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents

Yilun Xu, Gabriele Corso, Tommi Jaakkola, Arash Vahdat, Karsten Kreis

Semantic-Aware Human Object Interaction Image Generation

Zhu Xu, Qingchao Chen, Yuxin Peng, Yang Liu

Intersectional Unfairness Discovery

Gezheng Xu, Qi Chen, Charles Ling, Boyu Wang, Changjian Shui

Stochastic Bandits with ReLU Neural Networks

Kan Xu, Hamsa Bastani, Surbhi Goel, Osbert Bastani

Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling

Weijia Xu, Andrzej Banburski, Nebojsa Jojic

Parameter-Dependent Competitive Analysis for Online Capacitated Coverage Maximization through Boostings and Attenuations

Pan Xu

A General Framework for Sequential Decision-Making under Adaptivity Constraints

Nuoya Xiong, Zhaoran Wang, Zhuoran Yang

Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control

Zheng Xiong, Risto Vuorio, Jacob Beck, Matthieu Zimmer, Kun Shao

Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback

GUOJUN XIONG, Jian Li

Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-constraint

Wei Xiong, Hanze Dong, Chenlu Ye, Ziqi Wang, Han Zhong

SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms

Xingrun Xing, Zheng Zhang, Ziyi Ni, Shitao Xiao, Yiming Ju

HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction

Lanxiang Xing, Haixu Wu, Yuezhou Ma, Jianmin Wang, Mingsheng Long

Less is More: on the Over-Globalizing Problem in Graph Transformers

Yujie Xing, Xiao Wang, Yibo Li, Hai Huang, Chuan Shi

Federated Neuro-Symbolic Learning

Pengwei Xing, Songtao Lu, Han Yu

Reflected Flow Matching

Tianyu Xie, Yu Zhu, Longlin Yu, Tong Yang, Ziheng Cheng

TravelPlanner: A Benchmark for Real-World Planning with Language Agents

jian xie, Kai Zhang, Jiangjie Chen, Tinghui Zhu, Renze Lou

Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training

Ming-Kun Xie, Jia-Hao Xiao, Pei Peng, Gang Niu, Masashi Sugiyama

MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis

Luyuan Xie, Manqing Lin, Tianyu Luan, Cong Li, Yuejian Fang

Differentially Private Synthetic Data via Foundation Model APIs 2: Text

Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu

Local Causal Structure Learning in the Presence of Latent Variables

Feng Xie, Zheng Li, Peng Wu, Yan Zeng, Chunchen Liu

Implicit Bias of AdamW: ℓ_∞-Norm Constrained Optimization

Shuo Xie, Zhiyuan Li

Improving SAM Requires Rethinking its Optimization Formulation

Wanyun Xie, Fabian Latorre, Kimon Antonakopoulos, Thomas Pethick, Volkan Cevher

FedREDefense: Defending against Model Poisoning Attacks for Federated Learning using Model Update Reconstruction Error

Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong

Automating the Selection of Proxy Variables of Unmeasured Confounders

Feng Xie, Zhengming Chen, Shanshan Luo, Wang Miao, Ruichu Cai

Learning to Explore in POMDPs with Informational Rewards

Annie Xie, Logan Mondal Bhamidipaty, Evan Zheran Liu, Joey Hong, Sergey Levine

Intersecting-Boundary-Sensitive Fingerprinting for Tampering Detection of DNN Models

Bai Xiaofan, Chaoxiang He, Xiaojing Ma, Bin Benjamin Zhu, Hai Jin

CCM: Real-Time Controllable Visual Content Creation Using Text-to-Image Consistency Models

Jie Xiao, Kai Zhu, Han Zhang, Zhiheng Liu, Yujun Shen

Efficient Contrastive Learning for Fast and Accurate Inference on Graphs

Teng Xiao, Huaisheng Zhu, Zhiwei Zhang, Zhimeng Guo, Charu C. Aggarwal

Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning

Mingqing Xiao, Yixin Zhu, Di He, Zhouchen Lin

Uniformly Stable Algorithms for Adversarial Training and Beyond

Jiancong Xiao, Jiawei Zhang, Zhi-Quan Luo, Asuman E. Ozdaglar

Improving Transformers with Dynamically Composable Multi-Head Attention

Da Xiao, Qingye Meng, Shengping Li, Xingyuan Yuan

Improved Operator Learning by Orthogonal Attention

Zipeng Xiao, Zhongkai Hao, Bokai Lin, Zhijie Deng, Hang Su

Category-Aware Active Domain Adaptation

Wenxiao Xiao, Jiuxiang Gu, Hongfu Liu

Towards a Self-contained Data-driven Global Weather Forecasting Framework

Yi Xiao, LEI BAI, Wei Xue, Hao Chen, Kun Chen

Towards Neural Architecture Search through Hierarchical Generative Modeling

Lichuan Xiang, Łukasz Dudziak, Mohamed S Abdelfattah, Abhinav Mehrotra, Nicholas Donald Lane

Differentially Private Post-Processing for Fair Regression

Ruicheng Xian, Qiaobo Li, Gautam Kamath, Han Zhao

Delving into the Convergence of Generalized Smooth Minimax Optimization

Wenhan Xian, Ziyi Chen, Heng Huang

Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems

Yifan Xia, Xianliang Yang, Zichuan Liu, Zhihao Liu, Lei Song

Contrastive Learning for Clinical Outcome Prediction with Partial Data Sources

Meng Xia, Jonathan Wilson, Benjamin Goldstein, Ricardo Henao

SMaRt: Improving GANs with Score Matching Regularity

Mengfei Xia, Yujun Shen, Ceyuan Yang, Ran Yi, Wenping Wang

LESS: Selecting Influential Data for Targeted Instruction Tuning

Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, Sanjeev Arora, Danqi Chen

Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints

Xiaobo Xia, Jiale Liu, Shaokun Zhang, Qingyun Wu, Hongxin Wei

Unbiased Multi-Label Learning from Crowdsourced Annotations

Mingxuan Xia, Zenan Huang, Runze Wu, Gengyu Lyu, Junbo Zhao

Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization

Haocheng Xi, Yuxiang Chen, Kang Zhao, Kai Jun Teh, Jianfei Chen

Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning

Zhiheng Xi, Wenxiang Chen, Boyang Hong, Senjie Jin, Rui Zheng

Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels

Haoning Wu, Zicheng Zhang, Weixia Zhang, Chaofeng Chen, Liang Liao

HGCN2SP: Hierarchical Graph Convolutional Network for Two-Stage Stochastic Programming

Yang Wu, Yifan Zhang, Zhenxing Liang, Jian Cheng

Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays

Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Yuhui Wang, Chung-Wei Lin

Mitigating Label Noise on Graphs via Topological Sample Selection

Yuhao Wu, Jiangchao Yao, Xiaobo Xia, Jun Yu, Ruxin Wang

Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning

Yuhao Wu, Jiangchao Yao, Bo Han, Lina Yao, Tongliang Liu

Detecting Any instruction-to-answer interaction relationship:Universal Instruction-to-Answer Navigator for Med-VQA

Zhongze Wu, Hongyan Xu, Yitian Long, Shan You, Xiu Su