2025年国际机器学习大会（ICML）将于7月13日至19日在加拿大温哥华举行。大会日程丰富，包括五位特邀演讲嘉宾的精彩演讲，以及口头报告、海报展示、专题活动、教程和研讨会。本次大会涵盖机器学习领域的最新进展，如生成式AI、强化学习、大型语言模型等，同时关注算法的校准、偏差、公平性、可靠性和鲁棒性。此外，大会还设有关于机器学习在生物学、数学、无线通信、地球观测等领域的应用研讨会，以及面向女性、拉丁裔等群体的专题活动，为机器学习领域的专业人士提供了交流与学习的平台。

🎤 大会亮点：ICML 2025将有五位特邀演讲嘉宾，包括Jon Kleinberg、Pamela Samuelson等，为大会带来精彩的学术分享。

🗓️ 专题活动：大会期间将举办多个专题活动，例如“拉丁裔在AI研究”、“机器学习中的女性研讨会”等，为不同背景的参会者提供交流平台。

📚 教程内容：大会教程涵盖多个热门领域，包括生成式AI、扩散模型、算法校准、大型语言模型对齐等，为参会者提供深入学习的机会。

💡 研讨会主题：研讨会聚焦于机器学习的多个前沿领域，如世界模型评估、生成式AI在生物学中的应用、AI for Math、以及面向AI对齐的模型等，涵盖广泛。

🌍 应用领域：大会关注机器学习在各个领域的应用，包括无线通信、地球观测、生命科学等，展示了机器学习的广泛影响力。

This year’s International Conference on Machine Learning (ICML) will take place in Vancouver, Canada from 13-19 July 2025. As well as five invited talks, the programme boasts oral and poster presentations, affinity events, tutorials, and workshops.

Invited speakers

The five invited speakers are as follows:

Jon KleinbergPamela SamuelsonFrauke KreuterAnca DraganAndreas Krause

Affinity events

There are four affinity group workshops scheduled for this year:

LatinX in AI (LXAI) Research – Monday 14 July4th MusIML workshop at ICML’25 – Monday 14 JulyNew in ML – Tuesday 15 JulyWomen in Machine Learning Symposium – Wednesday 16 July

Tutorials

The tutorials will take place on Monday 14 July. There are 12 to choose from this year.

Generative AI Meets Reinforcement LearningHarnessing Low Dimensionality in Diffusion Models: From Theory to PracticeCalibration and Bias in Algorithms, Data, and Models: a tutorial on metrics and plots for measuring calibration, bias, fairness, reliability, and robustnessModern Methods in Associative MemoryAlignment Methods for Large Language ModelsDP-fy your DATA: How to (and why) synthesize Differentially Private Synthetic DataFlowing Through Continuous-Time Generative Models: A Clear and Systematic TourTutorial on Mechanistic Interpretability for Language ModelsThe Underlying Logic of Language ModelsJailbreaking LLMs and Agentic Systems: Attacks, Defenses, and EvaluationsGame-theoretic Statistics and Sequential Anytime-Valid InferenceTraining Neural Networks at Any Scale

Workshops

The workshops will take place on Friday 18 and Saturday 19 July.

Assessing World Models: Methods and Metrics for Evaluating Understanding3rd Workshop on High-dimensional Learning Dynamics (HiLD)2nd Generative AI for Biology Workshop2nd AI for Math Workshop @ ICML 20252nd Workshop on Models of Human Feedback for AI Alignment (MoFA)CODEML: Championing Open-source DEvelopment in Machine LearningMachine Learning for Wireless Communication and Networks (ML4Wireless)Programmatic Representations for Agent LearningTokenization Workshop (TokShop)Multi-Agent Systems in the Era of Foundation Models: Opportunities, Challenges and Futures1st Workshop on Foundation Models for Structured Data (FMSD)ICML 2025 Workshop on Computational Optimization of Buildings (CO-BUILD)2nd Workshop on Test-Time Adaptation: Putting Updates to the Test (PUT)Machine Unlearning for Generative AIScaling Up Intervention ModelsTiny Titans: The next wave of On-Device Learning for Foundation Models (TTODLer-FM)The 1st Workshop on Vector DatabasesWorkshop on Computer Use AgentsMethods and Opportunities at Small Scale (MOSS)DataWorld: Unifying data curation frameworks across domainsDIG-BUGS: Data in Generative Models (The Bad, the Ugly, and the Greats)TerraBytes: Towards global datasets and models for Earth ObservationActionable InterpretabilityThe Second Workshop on Long-Context Foundation ModelsThe Impact of Memorization on Trustworthy Foundation ModelsES-FoMo III: 3rd Workshop on Efficient Systems for Foundation ModelsExploration in AI Today (EXAIT)The 2nd Workshop on Reliable and Responsible Foundation ModelsWorkshop on Multi-modal Foundation Models and Large Language Models for Life SciencesWorkshop on Technical AI GovernanceBuilding Physically Plausible World ModelsAI Heard That! ICML 2025 Workshop on Machine Learning for AudioICML 2025 Workshop on Collaborative and Federated Agentic Workflows (CFAgentic @ ICML’25)

You can find out more about the conference here.