ICML 2025 Papers
3,340 papers found • Page 3 of 67
Adversarial Robustness via Deformable Convolution with Stochasticity
Yanxiang Ma, Zixuan Huang, Minjing Dong et al.
Adversaries Can Misuse Combinations of Safe Models
Erik Jones, Anca Dragan, Jacob Steinhardt
AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion Models
Yaopei Zeng, Yuanpu Cao, Bochuan Cao et al.
AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs
Anselm Paulus, Arman Zharmagambetov, Chuan Guo et al.
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Attention Networks
Biswadeep Chakraborty, Harshit Kumar, Saibal Mukhopadhyay
AEQA-NAT : Adaptive End-to-end Quantization Alignment Training Framework for Non-autoregressive Machine Translation
Xiangyu Qu, Guojing Liu, Liang Li
Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks
Nurbek Tastan, Samuel Horváth, Karthik Nandakumar
AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models
Zheng Lian, Haoyu Chen, Lan Chen et al.
AffinityFlow: Guided Flows for Antibody Affinity Maturation
Can Chen, Karla-Luise Herpoldt, Chenchao Zhao et al.
A First-order Generative Bilevel Optimization Framework for Diffusion Models
Quan Xiao, Hui Yuan, A F M Saif et al.
A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control
Zilin Kang, Chenyuan Hu, Yu Luo et al.
AGAV-Rater: Adapting Large Multimodal Model for AI-Generated Audio-Visual Quality Assessment
Yuqin Cao, Xiongkuo Min, Yixuan Gao et al.
A General Framework for Inference-time Scaling and Steering of Diffusion Models
Raghav Singhal, Zachary Horvitz, Ryan Teehan et al.
A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition
Nian Liu, Xiaoxin He, Thomas Laurent et al.
A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments
Yuchen Wang, Hongjue Zhao, Haohong Lin et al.
A Generalization Result for Convergence in Learning-to-Optimize
Michael Sucker, Peter Ochs
A Generalization Theory for Zero-Shot Prediction
Ronak Mehta, Zaid Harchaoui
A General Representation-Based Approach to Multi-Source Domain Adaptation
Ignavier Ng, Yan Li, Zijian Li et al.
A Generic Family of Graphical Models: Diversity, Efficiency, and Heterogeneity
Yufei Huang, Changhu Wang, Junjie Tang et al.
Agent-as-a-Judge: Evaluate Agents with Agents
Mingchen Zhuge, Changsheng Zhao, Dylan Ashley et al.
Agent-Centric Actor-Critic for Asynchronous Multi-Agent Reinforcement Learning
Whiyoung Jung, Sunghoon Hong, Deunsol Yoon et al.
Agent Reviewers: Domain-specific Multimodal Agents with Shared Memory for Paper Review
Kai Lu, Shixiong Xu, Jinqiu Li et al.
Agent Workflow Memory
Zhiruo Wang, Jiayuan Mao, Daniel Fried et al.
A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings
Shib S Dasgupta, Michael Boratko, Andrew McCallum
Aggregation Buffer: Revisiting DropEdge with a New Parameter Block
Dooho Lee, Myeong Kong, Sagad Hamid et al.
Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders
Rogelio A. Mancisidor, Robert Jenssen, Shujian Yu et al.
Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction
Yiheng Xu, Zekun Wang, Junli Wang et al.
A Hitchhiker's Guide to Scaling Law Estimation
Leshem Choshen, Yang Zhang, Jacob Andreas
AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N
Tianyu Zhang, Andrew Williams, Phillip Wozny et al.
AKORN: Adaptive Knots generated Online for RegressioN splines
Sunil Madhow, Dheeraj Baby, Yu-Xiang Wang
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings
Yilin Ye, Junchao Huang, Xingchen ZENG et al.
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
Thomas Schmied, Thomas Adler, Vihang Patil et al.
Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery
Pratinav Seth, Michelle Lin, BREFO YAW et al.
A Lens into Interpretable Transformer Mistakes via Semantic Dependency
Ruo-Jing Dong, Yu Yao, Bo Han et al.
Algorithm Development in Neural Networks: Insights from the Streaming Parity Task
Loek van Rossem, Andrew Saxe
Algorithmic Recourse for Long-Term Improvement
Kentaro Kanamori, Ken Kobayashi, Satoshi Hara et al.
Algorithms and Hardness for Active Learning on Graphs
Vincent Cohen-Addad, Silvio Lattanzi, Simon Meierhans
Algorithms with Calibrated Machine Learning Predictions
Judy Hanwen Shen, Ellen Vitercik, Anders Wikum
Aligned Multi Objective Optimization
Yonathan Efroni, Ben Kretzu, Daniel Jiang et al.
Aligning LLMs by Predicting Preferences from User Writing Samples
Stéphane Aroca-Ouellette, Natalie Mackraz, Barry-John Theobald et al.
Aligning Multimodal Representations through an Information Bottleneck
Antonio Almudévar, Jose Miguel Hernandez-Lobato, Sameer Khurana et al.
Aligning Protein Conformation Ensemble Generation with Physical Feedback
Jiarui Lu, Xiaoyin Chen, Stephen Lu et al.
Aligning Spoken Dialogue Models from User Interactions
Anne Wu, Laurent Mazaré, Neil Zeghidour et al.
Aligning with Logic: Measuring, Evaluating and Improving Logical Preference Consistency in Large Language Models
Yinhong Liu, Zhijiang Guo, Tianya Liang et al.
A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models
Shivam Kumar, Yun Yang, Lizhen Lin
All-atom Diffusion Transformers: Unified generative modelling of molecules and materials
Chaitanya Joshi, Xiang Fu, Yi-Lun Liao et al.
All-atom inverse protein folding through discrete flow matching
Kai Yi, Kiarash Jamali, Sjors Scheres
All-Purpose Mean Estimation over R: Optimal Sub-Gaussianity with Outlier Robustness and Low Moments Performance
Jasper Lee, Walter McKelvie, Maoyuan Song et al.
Almost Optimal Fully Dynamic $k$-Center Clustering with Recourse
Sayan Bhattacharya, Martín Costa, Ermiya Farokhnejad et al.
ALMTokenizer: A Low-bitrate and Semantic-rich Audio Codec Tokenizer for Audio Language Modeling
Dongchao Yang, Songxiang Liu, Haohan Guo et al.