ICML

VTGaussian-SLAM: RGBD SLAM for Large Scale Scenes with Splatting View-Tied 3D Gaussians

Pengchong Hu, Zhizhong Han

机构 * Pengchong Hu ； Zhizhong Han 纠错

Comments ICML 2025

Theoretical Performance Guarantees for Partial Domain Adaptation via Partial Optimal Transport

Jayadev Naram, Fredrik Hellström, Ziming Wang, Rebecka Jörnsten, Giuseppe Durisi

机构 * Chalmers University of Technology（查尔姆斯理工大学） ； University College London（伦敦大学学院） 纠错

Comments ICML 2025

Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation

Jintao Tong, Yixiong Zou, Guangyao Chen, Yuhua Li, Ruixuan Li

Comments Accepted by ICML 2025

Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation

Roie Reshef, Kfir Yehuda Levy

Comments arXiv admin note: text overlap with arXiv:2407.12396

Journal ref ICML 2025

Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models

Shizhan Gong, Yankai Jiang, Qi Dou, Farzan Farnia

Comments ICML 2025

CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation

Aditya Gorla, Ryan Wang, Zhengtong Liu, Ulzee An, Sriram Sankararaman

Journal ref In Proc. 42th International Conference on Machine Learning (ICML 2025 Spotlight)

DLP: Dynamic Layerwise Pruning in Large Language Models

Yuli Chen, Bo Cheng, Jiale Han, Yingying Zhang, Yingting Li, Shuhao Zhang

Comments Accepted by ICML 2025

InfoSAM: Fine-Tuning the Segment Anything Model from An Information-Theoretic Perspective

Yuanhong Zhang, Muyao Yuan, Weizhan Zhang, Tieliang Gong, Wen Wen, Jiangyong Ying, Weijie Shi

Comments Accepted by ICML 2025 (spotlight)

Learning Soft Sparse Shapes for Efficient Time-Series Classification

Zhen Liu, Yicheng Luo, Boyuan Li, Emadeldeen Eldele, Min Wu, Qianli Ma

Comments Accepted in ICML 2025

Safe-EF: Error Feedback for Nonsmooth Constrained Optimization

Rustem Islamov, Yarden As, Ilyas Fatkhullin

机构 * University of Basel（巴塞尔大学） ； ETH Zürich（苏黎世联邦理工学院） ； ETH AI Center（苏黎世联邦理工学院人工智能中心） 纠错

Journal ref International Conference on Machine Learning 2025

ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $α$-$β$-Divergence

Guanghui Wang, Zhiyong Yang, Zitai Wang, Shi Wang, Qianqian Xu, Qingming Huang

Comments ICML 2025 Spotlight

Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning

Lang Feng, Weihao Tan, Zhiyi Lyu, Longtao Zheng, Haiyang Xu, Ming Yan, Fei Huang, Bo An

Comments ICML 2025

Enhancing Target-unspecific Tasks through a Features Matrix

Fangming Cui, Yonggang Zhang, Xuan Wang, Xinmei Tian, Jun Yu

Comments Accepted by ICML 2025

OmniAudio: Generating Spatial Audio from 360-Degree Video

Huadai Liu, Tianyi Luo, Kaicheng Luo, Qikai Jiang, Peiwen Sun, Jialei Wang, Rongjie Huang, Qian Chen, Wen Wang, Xiangtai Li, Shiliang Zhang, Zhijie Yan, Zhou Zhao, Wei Xue

Comments ICML 2025

UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models

Xin Xu, Qiyun Xu, Tong Xiao, Tianhao Chen, Yuchen Yan, Jiaxin Zhang, Shizhe Diao, Can Yang, Yang Wang

Comments Accepted to ICML 2025

Large Language Models to Diffusion Finetuning

Edoardo Cetin, Tianyu Zhao, Yujin Tang

Comments Camera-ready version, presented at ICML 2025. Code available at: https://github.com/SakanaAI/L2D

Instruction-Following Pruning for Large Language Models

Bairu Hou, Qibin Chen, Jianyu Wang, Guoli Yin, Chong Wang, Nan Du, Ruoming Pang, Shiyu Chang, Tao Lei

Comments ICML 2025

Elucidating Flow Matching ODE Dynamics with Respect to Data Geometries and Denoisers

Zhengchao Wan, Qingsong Wang, Gal Mishne, Yusu Wang

机构 * Department of Mathematics, University of Missouri（密苏里大学数学系） ； Halıcıoğlu Data Science Institute, University of California San Diego（加州大学圣地亚哥分校Halıcıoğlu数据科学研究院） 纠错

Comments Accepted to ICML 2025, title updated

Hyperband-based Bayesian Optimization for Black-box Prompt Selection

Lennart Schneider, Martin Wistuba, Aaron Klein, Jacek Golebiowski, Giovanni Zappella, Felice Antonio Merra

Comments Accepted at ICML 2025. 26 pages, 11 tables, 7 figures

Adversarial Inception Backdoor Attacks against Reinforcement Learning

Ethan Rathbun, Alina Oprea, Christopher Amato

Comments 9 pages, 6 figures, ICML 2025

A Hitchhiker's Guide to Scaling Law Estimation

Leshem Choshen, Yang Zhang, Jacob Andreas

Comments ICML

SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference

Yuan Zhang, Chun-Kai Fan, Junpeng Ma, Wenzhao Zheng, Tao Huang, Kuan Cheng, Denis Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Shanghang Zhang

Comments Accepted by ICML 2025

AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Anselm Paulus, Arman Zharmagambetov, Chuan Guo, Brandon Amos, Yuandong Tian

Comments Accepted to ICML 2025. Code is available at http://github.com/facebookresearch/advprompter

Differentiable Mapper For Topological Optimization Of Data Representation

Ziyad Oulhaj, Mathieu Carrière, Bertrand Michel

机构 * Nantes Université, Centrale Nantes Laboratoire de Mathématiques Jean Leray, CNRS UMR 6629（南特大学，中央南特理工大学Jean Leray数学实验室，CNRS UMR 6629） 纠错

Journal ref Proceedings of the 41st International Conference on Machine Learning (2024), PMLR 235:38919-38936

MCU: An Evaluation Framework for Open-Ended Game Agents

Xinyue Zheng, Haowei Lin, Kaichen He, Zihao Wang, Zilong Zheng, Yitao Liang

Journal ref ICML 2025 Spotlight

SPACE: Your Genomic Profile Predictor is a Powerful DNA Foundation Model

Zhao Yang, Jiwei Zhu, Bing Su

Comments Accepted to ICML 2025

unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning

Yafei Yang, Zihui Zhang, Bo Yang

Comments ICML 2025. Code and data are available at: https://github.com/vLAR-group/unMORE

BOPO: Neural Combinatorial Optimization via Best-anchored and Objective-guided Preference Optimization

Zijun Liao, Jinbiao Chen, Debing Wang, Zizhen Zhang, Jiahai Wang

Comments This paper has been accepted by ICML 2025

The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking

Yuchun Miao, Sen Zhang, Liang Ding, Yuqi Zhang, Lefei Zhang, Dacheng Tao

Comments The paper has been accepted by ICML 2025

The Brain's Bitter Lesson: Scaling Speech Decoding With Self-Supervised Learning

Dulhan Jayalath, Gilad Landau, Brendan Shillingford, Mark Woolrich, Oiwi Parker Jones

Comments Published as a conference paper at ICML 2025. 16 pages, 4 figures, 4 tables