ICML

Video Self-Distillation for Single-Image Encoders: A Step Toward Physically Plausible Perception

Marcel Simon, Tae-Ho Kim, Seul-Ki Yeom

机构 * Nota AI GmbH 纠错

Comments 4 pages, 2 figures, 2 tables

Journal ref 2025 International Conference on Machine Learning Workshop

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator

YuXin Li, Felix Dangel, Derek Tam, Colin Raffel

机构 * University of Toronto \& Vector Institute 纠错

Comments 19 pages, 2 figures. Accepted as a spotlight poster at ICML 2025

Reactivation: Empirical NTK Dynamics Under Task Shifts

Yuzhi Liu, Zixuan Chen, Zirui Zhang, Yufei Liu, Giulia Lanzillotta

机构 * Department of Mathematics, ETH Zurich, Switzerland（苏黎世联邦理工学院数学系） ； Department of Computer Science, ETH Zurich, Switzerland（苏黎世联邦理工学院计算机科学系） 纠错

Comments Accepted by the 3rd Workshop on High-dimensional Learning Dynamics (HiLD), ICML 2025

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them

Neel Rajani, Aryo Pradipta Gema, Seraphina Goldfarb-Tarrant, Ivan Titov

机构 * Institute for Language, Cognition and Computation (ILCC), University of Edinburgh, United Kingdom（语言、认知与计算研究所（ILCC），爱丁堡大学，英国） ； Institute for Logic, Language and Computation (ILLC), University of Amsterdam, Netherlands（逻辑、语言与计算研究所（ILLC），阿姆斯特丹大学，荷兰） 纠错

Journal ref Actionable Interpretability Workshop ICML 2025

Exploration Behavior of Untrained Policies

Jacob Adamczyk

机构 * Department of Physics, University of Massachusetts Boston（马萨诸塞大学波士顿分校物理系） 纠错

Comments High-dimensional Learning Dynamics Workshop at ICML-2025

Bridging Quantum and Classical Computing in Drug Design: Architecture Principles for Improved Molecule Generation

Andrew Smith, Erhan Guven

机构 * Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland（约翰霍普金斯大学工程学院，巴尔的摩，马里兰州） 纠错

Comments Published in Proceedings of the Workshop on Generative AI for Biology at the 42nd International Conference on Machine Learning 10 pages, 7 figures

Journal ref Proceedings of the Workshop on Generative AI for Biology at the 42nd International Conference on Machine Learning. PMLR 267, 2025

Distillation Scaling Laws

Dan Busbridge, Amitis Shidani, Floris Weers, Jason Ramapuram, Etai Littwin, Russ Webb

机构 * Apple（苹果公司） ； University of Oxford, UK（牛津大学） 纠错

Comments Version accepted to ICML 2025. 69 pages, 54 figures, 13 tables

Value-Based Deep RL Scales Predictably

Oleh Rybkin, Michal Nauman, Preston Fu, Charlie Snell, Pieter Abbeel, Sergey Levine, Aviral Kumar

机构 * University of Warsaw（华沙大学） 纠错

Comments ICML 2025

Towards Constraint-aware Learning for Resource Allocation in NFV Networks

Tianfu Wang, Long Yang, Chao Wang, Chuan Qin, Liwei Deng, Wei Wu, Junyang Wang, Li Shen, Hui Xiong

Comments ICML 2025 Workshop on ML4Wireless (Best Paper Award)

Spatial Transformer Network YOLO Model for Agricultural Object Detection

Yash Zambre, Ekdev Rajkitkul, Akshatha Mohan, Joshua Peeples

机构 * 1 Department of Electrical ； Computer Engineering, Texas A\&M University, College Station, TX, USA 2 Department of Computer Science ； Engineering, Texas A\&M University, College Station, TX, USA ； 2 Department of Computer Science 纠错

Comments 7 pages, 5 figures, accepted to 2024 IEEE International Conference on Machine Learning and Applications