ICML 2024

2,610 papers

Position: Measure Dataset Diversity, Don’t Just Claim It

Dora Zhao, Jerone Andrews, Orestis Papakyriakopoulos, Alice Xiang

Accelerating Iterative Retrieval-augmented Language Model Serving with Speculation

Zhihao Zhang, Alan Zhu, Lijie Yang, Yihua Xu, Lanting Li

Fast Text-to-3D-Aware Face Generation and Manipulation via Direct Cross-modal Mapping and Geometric Regularization

Jinlu Zhang, Yiyi Zhou, Qiancheng Zheng, Xiaoxiong Du, Gen Luo

Transferable Facial Privacy Protection against Blind Face Restoration via Domain-Consistent Adversarial Obfuscation

Kui Zhang, Hang Zhou, Jie Zhang, Wenbo Zhou, Weiming Zhang

The Emergence of Reproducibility and Consistency in Diffusion Models

Huijie Zhang, Jinfan Zhou, Yifu Lu, Minzhe Guo, Peng Wang

Neural Jump-Diffusion Temporal Point Processes

SHUAI ZHANG, Chuan Zhou, Yang Aron Liu, Peng Zhang, Xixun Lin

Position: Social Environment Design Should be Further Developed for AI-based Policy-Making

Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt

On the Expressive Power of Spectral Invariant Graph Neural Networks

Bohang Zhang, Lingxiao Zhao, Haggai Maron

Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize

Tianren Zhang, Chujie Zhao, Guanyu Chen, Yizhou Jiang, Feng Chen

Uncertainty-Aware Reward-Free Exploration with General Function Approximation

Junkai Zhang, Weitong ZHANG, Dongruo Zhou, Quanquan Gu

Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases

Ziyi Zhang, Sen Zhang, Yibing Zhan, Yong Luo, Yonggang Wen

Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching

Yuchen Zhang, Tianle Zhang, Kai Wang, Ziyao Guo, Yuxuan Liang

Efficient Denoising Diffusion via Probabilistic Masking

Weizhong Zhang, Zhiwei Zhang, Renjie Pi, Zhongming Jin, Yuan Gao

Efficient Contextual Bandits with Uninformed Feedback Graphs

Mengxiao Zhang, Yuheng Zhang, Haipeng Luo, Paul Mineiro

Offline Training of Language Model Agents with Functions as Learnable Weights

Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang

Lightweight Image Super-Resolution via Flexible Meta Pruning

Yulun Zhang, Kai Zhang, Luc Van Gool, Martin Danelljan, Fisher Yu

MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization

Yu Zhang, Qi Zhang, Zixuan Gong, Yiwei Shi, Yepeng Liu

PARDEN, Can You Repeat That? Defending against Jailbreaks via Repetition

Ziyang Zhang, Qizhen Zhang, Jakob Nicolaus Foerster

Quantum Algorithms and Lower Bounds for Finite-Sum Optimization

Yexin Zhang, Chenyi Zhang, Cong Fang, Liwei Wang, Tongyang Li

Generalization Analysis for Multi-Label Learning

Yifan Zhang, Min-ling Zhang

Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness

Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui

Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach

Weijia Zhang, Chenlong Yin, Hao Liu, Xiaofang Zhou, Hui Xiong

Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions

Kaihong Zhang, Heqi Yin, Feng Liang, Jingbo Liu

NExT-Chat: An LMM for Chat, Detection and Segmentation

Ao Zhang, Yuan Yao, Wei Ji, Zhiyuan Liu, Tat-Seng Chua

Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective

Yulong Zhang, Yuan Yao, Shuhao Chen, Pengrong Jin, Yu Zhang

FESSNC: Fast Exponentially Stable and Safe Neural Controller

Jingdong Zhang, Luan Yang, Qunxi Zhu, Wei LIN

Causal Representation Learning from Multiple Distributions: A General Setting

Kun Zhang, Shaoan Xie, Ignavier Ng, Yujia Zheng

Exploring the Benefit of Activation Sparsity in Pre-training

Zhengyan Zhang, Chaojun Xiao, Qiujieli Qin, Yankai Lin, Zhiyuan Zeng

EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction

Yang Zhang, Zhewei Wei, Ye Yuan, Chongxuan Li, Wenbing Huang

Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data

Jiahan Zhang, Qi Wei, Feng Liu, Lei Feng

GroupCover: A Secure, Efficient and Scalable Inference Framework for On-device Model Protection based on TEEs

Zheng Zhang, Na Wang, Ziqi Zhang, Yao Zhang, Tianyi Zhang

Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet

Zeyang Zhang, Xin Wang, Yijian Qin, Hong Chen, Ziwei Zhang

Directly Denoising Diffusion Models

Dan Zhang, Jingjing Wang, Feng Luo

Interpreting and Improving Large Language Models in Arithmetic Calculation

Wei Zhang, Chaoqun Wan, Yonggang Zhang, Yiu-ming Cheung, Xinmei Tian

Switchable Decision: Dynamic Neural Generation Networks

Shujian Zhang, Korawat Tanwisuth, Chengyue Gong, Pengcheng He, Mingyuan Zhou

Matrix Information Theory for Self-Supervised Learning

Yifan Zhang, Zhiquan Tan, Jingqin Yang, Weiran Huang, Yang Yuan

Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds

Yuyang Zhang, Shahriar Talebi, Na Li

Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning

Zongmeng Zhang, Yufeng Shi, Jinhua Zhu, Wengang Zhou, Xiang Qi

Online Matching with Stochastic Rewards: Provable Better Bound via Adversarial Reinforcement Learning

Qiankun Zhang, Aocheng Shen, Boyu Zhang, Hanrui Jiang, Bingqian Du

Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks

Lujing Zhang, Aaron Roth, Linjun Zhang

Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning

Hongming Zhang, Tongzheng Ren, Chenjun Xiao, Dale Schuurmans, Bo Dai

Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics

Xinyu Zhang, Wenjie Qiu, Yi-Chen Li, Lei Yuan, Chengxing Jia

Flexible Residual Binarization for Image Super-Resolution

Yulun Zhang, Haotong Qin, Zixiang Zhao, Xianglong Liu, Martin Danelljan

Online Resource Allocation with Non-Stationary Customers

Xiaoyue Zhang, Hanzhang Qin, Mabel Chou

Enhancing Storage and Computational Efficiency in Federated Multimodal Learning for Large-Scale Models

Zixin Zhang, Fan Qi, Changsheng Xu

How Language Model Hallucinations Can Snowball

Muru Zhang, Ofir Press, William Merrill, Alisa Liu, Noah A. Smith

Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models

Fangzhao Zhang, Mert Pilanci

A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization

Xinwen Zhang, Ali Payani, Myungjin Lee, Richard Souvenir, Hongchang Gao

Sparsest Models Elude Pruning: An Exposé of Pruning’s Current Capabilities

Stephen Zhang, Vardan Papyan

Sequential Asynchronous Action Coordination in Multi-Agent Systems: A Stackelberg Decision Transformer Approach

Bin Zhang, Hangyu Mao, Lijuan Li, Zhiwei Xu, Dapeng Li

In-Context Principle Learning from Mistakes

Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra

Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models

Jie Zhang, Xiaosong Ma, Song Guo, Peng Li, Wenchao Xu

Sparse-to-dense Multimodal Image Registration via Multi-Task Learning

Kaining Zhang, Jiayi Ma

Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning

Dake Zhang, Boxiang Lyu, Shuang Qiu, Mladen Kolar, Tong Zhang

Nonparametric Teaching of Implicit Neural Representations

Chen Zhang, Steven Tin Sui Luo, Jason Chun Lok Li, Yik Chung Wu, Ngai Wong

Wukong: Towards a Scaling Law for Large-Scale Recommendation

Buyun Zhang, Liang Luo, Yuxin Chen, Jade Nie, Xi Liu

MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions

Kai Zhang, Yi Luan, Hexiang Hu, Kenton Lee, Siyuan Qiao

Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training

Jiacheng Zhang, Feng Liu, Dawei Zhou, Jingfeng ZHANG, Tongliang Liu

UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis

Yunhao Zhang, Minghao Liu, Shengyang Zhou, Junchi Yan

Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction

He Zhang, Chang Liu, Zun Wang, Xinran Wei, Siyuan Liu

Multi-Factor Adaptive Vision Selection for Egocentric Video Question Answering

Haoyu Zhang, Meng Liu, Zixin Liu, Xuemeng Song, Yaowei Wang

BLO-SAM: Bi-level Optimization Based Finetuning of the Segment Anything Model for Overfitting-Preventing Semantic Segmentation

Li Zhang, Youwei Liang, Ruiyi Zhang, Amirhosein Javadi, Pengtao Xie

Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation

Wanpeng Zhang, Yilin Li, Boyu Yang, Zongqing Lu

Conditional Language Learning with Context

Xiao Zhang, Miao Li, Ji Wu

DPZero: Private Fine-Tuning of Language Models without Backpropagation

Liang Zhang, Bingcong Li, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He

S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Video

Hao Zhang, Fang Li, Samyak Rawlekar, Narendra Ahuja

Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark

Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang

An Interpretable Evaluation of Entropy-based Novelty of Generative Models

Jingwei Zhang, Cheuk Ting Li, Farzan Farnia

Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples

Thomas TCK Zhang, Bruce D Lee, Ingvar Ziemann, George J. Pappas, Nikolai Matni

Understanding Unimodal Bias in Multimodal Deep Linear Networks

Yedi Zhang, Peter E. Latham, Andrew M Saxe

Deep Regression Representation Learning with Topology

Shihao Zhang, Kenji Kawaguchi, Angela Yao

Parameter-Efficient Fine-Tuning with Controls

Chi Zhang, Cheng Jingpu, Yanyu Xu, Qianxiao Li

Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention

Jiaqi Zhang, Joel Jennings, Agrin Hilmkil, Nick Pawlowski, Cheng Zhang

On the Duality Between Sharpness-Aware Minimization and Adversarial Training

Yihao Zhang, Hangzhou He, Jingyu Zhu, Huanran Chen, Yifei Wang

Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment

Chen Zhang, Qiang He, Yuan Zhou, Elvis S. Liu, Hong Wang

Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks

Guanhua Zhang, Moritz Hardt

Generating Chain-of-Thoughts with a Pairwise-Comparison Approach to Searching for the Most Promising Intermediate Thought

Zhen-Yu Zhang, Siwei Han, Huaxiu Yao, Gang Niu, Masashi Sugiyama

Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring

Jiewei Zhang, Song Guo, Peiran Dong, Jie Zhang, Ziming Liu

Model-based Reinforcement Learning for Parameterized Action Spaces

Renhao Zhang, Haotian Fu, Yilin Miao, George Konidaris

SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning

SHUAI ZHANG, Heshan Devaka Fernando, Miao Liu, Keerthiram Murugesan, Songtao Lu

MILP-FBGen: LP/MILP Instance Generation with Feasibility/Boundedness

Yahong Zhang, Chenchen Fan, Donghui Chen, Congrui Li, Wenli Ouyang

Watermarks in the Sand: Impossibility of Strong Watermarking for Language Models

Hanlin Zhang, Benjamin L. Edelman, Danilo Francati, Daniele Venturi, Giuseppe Ateniese

CaM: Cache Merging for Memory-efficient LLMs Inference

Yuxin Zhang, Yuxuan Du, Gen Luo, Yunshan Zhong, Zhenyu Zhang

Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining

Qi Zhang, Tianqi Du, Haotian Huang, Yifei Wang, Yisen Wang

Towards Certified Unlearning for Deep Neural Networks

Binchi Zhang, Yushun Dong, Tianhao Wang, Jundong Li

Random Scaling and Momentum for Non-smooth Non-convex Optimization

Qinzi Zhang, Ashok Cutkosky

LQER: Low-Rank Quantization Error Reconstruction for LLMs

Cheng Zhang, Jianyi Cheng, George Anthony Constantinides, Yiren Zhao

Reshape and Adapt for Output Quantization (RAOQ): Quantization-aware Training for In-memory Computing Systems

Bonan Zhang, Chia-Yu Chen, Naveen Verma

Verification of Machine Unlearning is Fragile

Binchi Zhang, Zihan Chen, Cong Shen, Jundong Li

Provably Efficient Partially Observable Risk-sensitive Reinforcement Learning with Hindsight Observation

Tonghe Zhang, Yu Chen, Longbo Huang

Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning

Yuelin Zhang, Jiacheng Cen, Jiaqi Han, Zhiqiang Zhang, Jun Zhou

Discounted Adaptive Online Learning: Towards Better Regularization

Zhiyu Zhang, David Bombara, Heng Yang

Efficient Stochastic Approximation of Minimax Excess Risk Optimization

Lijun Zhang, Haomin Bai, Wei-Wei Tu, Ping Yang, Yao Hu

SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation

Junjie Zhang, Chenjia Bai, Haoran He, Zhigang Wang, Bin Zhao

DAG-Based Column Generation for Adversarial Team Games

Youzhi Zhang, Bo An, Daniel Dajun Zeng

Tight Partial Identification of Causal Effects with Marginal Distribution of Unmeasured Confounders

Zhiheng Zhang

Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations

Jiaqi Zhai, Lucy Liao, Xing Liu, Yueming Wang, Rui Li

Robust Learning-Augmented Dictionaries

Ali Zeynali, Shahin Kamali, Mohammad Hajiesmaili

Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon Divergence Between Initial and Target Distribution

Johannes Zenn, Robert Bamler

IM-Unpack: Training and Inference with Arbitrarily Low Precision Integers

Zhanpeng Zeng, Karthikeyan Sankaralingam, Vikas Singh