ICML 2024

2,610 papers

Interacting Diffusion Processes for Event Sequence Forecasting

Mai Zeng, Florence Regol, Mark Coates

Graph Mixup on Approximate Gromov–Wasserstein Geodesics

Zhichen Zeng, Ruizhong Qiu, Zhe Xu, Zhining Liu, Yuchen Yan

Learning Reward for Robot Skills Using Large Language Models via Self-Alignment

Yuwei Zeng, Yao Mu, Lin Shao

Token-level Direct Preference Optimization

Yongcheng Zeng, Guoqing Liu, Weiyu Ma, Ning Yang, Haifeng Zhang

tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)

Junhua Zeng, CHAO LI, Zhun Sun, Qibin Zhao, Guoxu Zhou

Continuous Treatment Effects with Surrogate Outcomes

Zhenghao Zeng, David Arbour, Avi Feller, Raghavendra Addanki, Ryan A. Rossi

Theoretical Analysis of Learned Database Operations under Distribution Shift through Distribution Learnability

Sepanta Zeighami, Cyrus Shahabi

Low-Cost High-Power Membership Inference Attacks

Sajjad Zarifzadeh, Philippe Liu, Reza Shokri

Robustly Learning Single-Index Models via Alignment Sharpness

Nikos Zarifis, Puqian Wang, Ilias Diakonikolas, Jelena Diakonikolas

DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation

Zelin Zang, Hao Luo, Kai Wang, Panpan Zhang, Fan Wang

See More Details: Efficient Image Super-Resolution by Experts Mining

Eduard Zamfir, Zongwei Wu, Nancy Mehta, Yulun Zhang, Radu Timofte

How to Explore with Belief: State Entropy Maximization in POMDPs

Riccardo Zamboni, Duilio Cirino, Marcello Restelli, Mirco Mutti

More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms

Hossein Zakerinia, Amin Behjati, Christoph H. Lampert

Sample as you Infer: Predictive Coding with Langevin Dynamics

Umais Zahid, Qinghai Guo, Zafeirios Fountas

Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution

Eslam Zaher, Maciej Trzaskowski, Quan Nguyen, Fred Roosta

Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge

Conghan Yue, Zhengwei Peng, Junlong Ma, Shiyan Du, Pengxu Wei

How to Leverage Diverse Demonstrations in Offline Imitation Learning

Sheng Yue, Jiani Liu, Xingyuan Hua, Ju Ren, Sen Lin

Federated Self-Explaining GNNs with Anti-shortcut Augmentations

Linan Yue, Qi Liu, Weibo Gao, Ye Liu, Kai Zhang

OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning

Sheng Yue, Xingyuan Hua, Ju Ren, Sen Lin, Junshan Zhang

RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content

Zhuowen Yuan, Zidi Xiong, Yi Zeng, Ning Yu, Ruoxi Jia

Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators

Jianhao Yuan, Francesco Pinto, Adam Davies, Philip Torr

Self-Rewarding Language Models

Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho, Xian Li, Sainbayar Sukhbaatar

SHINE: Shielding Backdoors in Deep Reinforcement Learning

Zhuowen Yuan, Wenbo Guo, Jinyuan Jia, Bo Li, Dawn Song

A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM)

Dehao Yuan, Cornelia Fermuller, Tahseen Rabbani, Furong Huang, Yiannis Aloimonos

Smoothing Proximal Gradient Methods for Nonsmooth Sparsity Constrained Optimization: Optimality Conditions and Global Convergence

Ganzhao Yuan

Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling

Guoqi Yu, Jing Zou, Xiaowei Hu, Angelica I Aviles-Rivero, Jing Qin

A Unified Adaptive Testing System Enabled by Hierarchical Structure Search

Junhao Yu, Yan Zhuang, Zhenya Huang, Qi Liu, Xin Li

Improving Sharpness-Aware Minimization by Lookahead

Runsheng Yu, Youzhi Zhang, James Kwok

Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Le Yu, Bowen Yu, Haiyang Yu, Fei Huang, Yongbin Li

MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Weihao Yu, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin

Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind

Mo Yu, Qiujing Wang, Shunchi Zhang, Yisi Sang, Kangsheng Pu

Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders

Yi Yu, Yufei Wang, Song Xia, Wenhan Yang, Shijian Lu

Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration

Zhongzhi Yu, Zheng Wang, Yonggan Fu, Huihong Shi, Khalid Shaikh

ViP: A Differentially Private Foundation Model for Computer Vision

Yaodong Yu, Maziar Sanjabi, Yi Ma, Kamalika Chaudhuri, Chuan Guo

Learning Causal Dynamics Models in Object-Oriented Environments

Zhongwei Yu, Jingqing Ruan, Dengpeng Xing

Generalization Bound and New Algorithm for Clean-Label Backdoor Attack

Lijia Yu, Shuang Liu, yibo miao, Xiao-Shan Gao, Lijun Zhang

Enabling Few-Shot Learning with PID Control: A Layer Adaptive Optimizer

Le Yu, Xinde Li, Pengfei Zhang, Zhentong Zhang, Fir Dunkin

Learning Scale-Aware Spatio-temporal Implicit Representation for Event-based Motion Deblurring

Wei Yu, Jianing Li, Shengping Zhang, Xiangyang Ji

Learning Latent Structures in Network Games via Data-Dependent Gated-Prior Graph Variational Autoencoders

Xue Yu, Muchen Li, Yan Leng, Renjie Liao

Privacy-Preserving Instructions for Aligning Large Language Models

Da Yu, Peter Kairouz, Sewoong Oh, Zheng Xu

Collage: Light-Weight Low-Precision Strategy for LLM Training

Tao Yu, Gaurav Gupta, Karthick Gopalswamy, Amith R Mamidala, Hao Zhou

Activation-Descent Regularization for Input Optimization of ReLU Networks

Hongzhan Yu, Sicun Gao

Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering

Shengju Yu, Zhibin Dong, Siwei Wang, Xinhang Wan, Yue Liu

Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond

Dingzhi Yu, Yunuo Cai, Wei Jiang, Lijun Zhang

SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN

Kang You, Zekai Xu, Chen Nie, Zhijie Deng, Qinghai Guo

When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models

Haoran You, Yichao Fu, Zheng Wang, Amir Yazdanbakhsh, Yingyan Celine Lin

Breadth-First Exploration on Adaptive Grid for Reinforcement Learning

Youngsik Yoon, Gangbok Lee, Sungsoo Ahn, Jungseul Ok

FRAG: Frequency Adapting Group for Diffusion Video Editing

Sunjae Yoon, Gwanhyeong Koo, Geonwoo Kim, Chang D. Yoo

Optimal Acceleration for Minimax and Fixed-Point Problems is Not Unique

TaeHo Yoon, Jaeyeon Kim, Jaewook J. Suh, Ernest K. Ryu

Uncertainty Estimation by Density Aware Evidential Deep Learning

Taeseong Yoon, Heeyoung Kim

Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning

Jinsoo Yoo, Yunpeng Liu, Frank Wood, Geoff Pleiss

MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI

Kaining Ying, Fanqing Meng, Jin Wang, Zhiqian Li, Han Lin

Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Lu Yin, You Wu, Zhenyu Zhang, Cheng-Yu Hsieh, Yaqing Wang

High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling

Yuxuan Yin, Yu Wang, Peng Li

Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension

Fan Yin, Jayanth Srinivasa, Kai-Wei Chang

Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs “Difficult" Downstream Tasks in LLMs

Lu Yin, Ajay Kumar Jaiswal, Shiwei Liu, Souvik Kundu, Zhangyang Wang

StableMask: Refining Causal Masking in Decoder-only Transformer

Qingyu Yin, Xuzheng He, Xiang Zhuang, Yu Zhao, Jianhua Yao

Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction

Chen-Yu Yen, Raghav Singhal, Umang Sharma, Rajesh Ranganath, Sumit Chopra

Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption

Chenlu Ye, Jiafan He, Quanquan Gu, Tong Zhang

EMC$^2$: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence

Chung-Yiu Yau, Hoi To Wai, Parameswaran Raman, Soumajyoti Sarkar, Mingyi Hong

Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation

Can Yaras, Peng Wang, Laura Balzano, Qing Qu

Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration

Xinjie Yao, Yu Wang, Pengfei Zhu, Wanyu Lin, Jialu Li

Mobile Attention: Mobile-Friendly Linear-Attention for Vision Transformers

Zhiyu Yao, Jian Wang, Haixu Wu, Jingdong Wang, Mingsheng Long

Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict?

Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu

Empowering Graph Invariance Learning with Deep Spurious Infomax

Tianjun Yao, Yongqiang Chen, Zhenhao Chen, Kai Hu, Zhiqiang Shen

Protein Conformation Generation via Force-Guided SE(3) Diffusion Models

Yan Wang, Lihao Wang, Yuning Shen, Yiqun Wang, Huizhuo Yuan

What is Dataset Distillation Learning?

William Yang, Ye Zhu, Zhiwei Deng, Olga Russakovsky

Mol-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective

Junwei Yang, Kangjie Zheng, Siyu Long, Zaiqing Nie, Ming Zhang

MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation

Nianzu Yang, Kaipeng Zeng, Haotian Lu, Yexin Wu, Zexin Yuan

Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need

Shangda Yang, Vitaly Zankin, Maximilian Balandat, Stefan Scherer, Kevin Thomas Carlberg

Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs

Ling Yang, Zhaochen Yu, Chenlin Meng, Minkai Xu, Stefano Ermon

One Meta-tuned Transformer is What You Need for Few-shot Learning

Xu Yang, Huaxiu Yao, Ying Wei

Neuro-Symbolic Temporal Point Processes

Yang Yang, Chao Yang, Boyang Li, Yinghao Fu, Shuang Li

Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition

Zhiyong Yang, Qianqian Xu, Zitai Wang, Sicong Li, Boyu Han

How Graph Neural Networks Learn: Lessons from Training Dynamics

Chenxiao Yang, Qitian Wu, David Wipf, Ruoyu Sun, Junchi Yan

Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms

Ming Yang, Xiyuan Wei, Tianbao Yang, Yiming Ying

Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts

Xiao-wen Yang, Wen-Da Wei, Jie-Jing Shao, Yu-feng Li, Zhi-Hua Zhou

Gated Linear Attention Transformers with Hardware-Efficient Training

Songlin Yang, bailin wang, Yikang Shen, Rameswar Panda, Yoon Kim

ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories

Qianlan Yang, Yu-Xiong Wang

Position: Video as the New Language for Real-World Decision Making

Sherry Yang, Jacob C Walker, Jack Parker-Holder, Yilun Du, Jake Bruce

Explain Temporal Black-Box Models via Functional Decomposition

Linxiao Yang, Yunze Tong, Xinyue Gu, Liang Sun

UniAudio: Towards Universal Audio Generation with Large Language Models

Dongchao Yang, Jinchuan Tian, Xu Tan, Rongjie Huang, Songxiang Liu

Exploration and Anti-Exploration with Distributional Random Network Distillation

Kai Yang, Jian Tao, Jiafei Lyu, Xiu Li

Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training

Jinxia Yang, Bing Su, Xin Zhao, Ji-Rong Wen

Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation

Yuchen Yang, Yingdong Shi, Cheems Wang, Xiantong Zhen, Yuxuan Shi

Representation Surgery for Multi-Task Model Merging

Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen

ILILT: Implicit Learning of Inverse Lithography Technologies

Haoyu Yang, Haoxing Ren

Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation

Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu

Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment

Rui Yang, Xiaoman Pan, Feng Luo, Shuang Qiu, Han Zhong

Position: Towards Unified Alignment Between Agents, Humans, and Environment

Zonghan Yang, An Liu, Zijun Liu, Kaiming Liu, Fangzhou Xiong

Position: Towards Implicit Prompt For Text-To-Image Models

Yue Yang, Yuqi Lin, Hong Liu, Wenqi Shao, Runjian Chen

Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs

Shenzhi Yang, Bin Liang, An Liu, Lin Gui, Xingkai Yao

Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation

Yibo Yang, Xiaojie Li, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Adel Bibi

Small-loss Adaptive Regret for Online Convex Optimization

Wenhao Yang, Wei Jiang, Yibo Wang, Ping Yang, Yao Hu

SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation

Danni Yang, Jiayi Ji, Yiwei Ma, Tianyu Guo, Haowei Wang

Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss

Yahong Yang, Juncai He

Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor Attacks

Wenhan Yang, Jingdong Gao, Baharan Mirzasoleiman

Guidance with Spherical Gaussian Constraint for Conditional Diffusion

Lingxiao Yang, Shutong Ding, Yifan Cai, Jingyi Yu, Jingya Wang

Latent Space Symmetry Discovery

Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu

Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation

Lujie Yang, Hongkai Dai, Zhouxing Shi, Cho-jui Hsieh, Russ Tedrake