Announcing the ICML 2026 Workshops and Affinity Workshops

April 6 2026 Announcing the ICML 2026 Workshops and Affinity Workshops Gautam Kamath ICML 2026 By ICML 2026 Workshop Chairs Gergely Neu and Courtney Paquette. We are thrilled to announce the accepted workshops at ICML 2026. This year’s cohort reflects the remarkable breadth and energy of the machine learning community, spanning foundational theory, applications, and the pressing societal questions our field continues to grapple with. Whether you are a seasoned researcher, a newcomer to the conference, or somewhere in between, we hope you will find workshops that challenge and inspire you. ICML 2026 will feature 44 workshops (which will run during the post-conference workshop days, Friday July 10 and Saturday July 11),  as well as 4 affinity workshops (which will run concurrently to the main conference, from Tuesday July 7 to Thursday July 9). In this post, we’ll first give some insight into the workshop selection process, and then share the full list of accepted workshops and affinity workshops. Selection Process The process was especially competitive this year, due to an unprecedented volume of submissions. Up from about 150 proposals for ICML 2025, we received 247 proposals (not counting a handful of desk rejected and withdrawn submissions). Nearly all submissions were of very high quality, which made it very challenging to select the 44 workshops that we will be able to host. Our selection procedure was driven by the following principles. Our objective throughout the selection process was to make sure that we end up with a program that covers a diverse range of topics that excites the ICML community. We had outstanding material to work with, which forced us to make some hard decisions to make sure that our goals are met within the strict space constraints imposed by the venue. To deal with this challenge, we designed a two-phase process. In the first phase, we arrived at a shortlist of outstanding proposals. In the second phase, this was refined down to the final list. For consistency, the selection process was conducted entirely by the two workshop chairs, with no external reviewers. As a main principle, each proposal was evaluated according to the criteria laid out in the Call for Workshops , but the massive volume of excellent submissions required us to additionally make the final decisions based on soft criteria and subjective comparisons of proposals. In the first round, each of the submissions was read by one of the two workshop chairs to verify they meet the standards we expect at ICML. Within this round, we had to eliminate several workshops that had any sort of shortcoming: e.g., not having a (nearly) fully confirmed lineup of speakers or a feasible schedule, not having a well designed organization committee with clearly specified roles, not having a clear explanation of the relevance of the proposed speakers to the topic of the workshop, or not having sufficient detail on the background of the organizers to help us verify that they can indeed run their proposed event successfully. We also ruled out workshops with topics that are not relevant for the ICML audience (or whose relevance was not argued clearly enough in the proposal). After this initial round, we ended up with about 70 proposals. We are confident that all these 70 proposals would have resulted in great ICML workshops. In an ideal world, the process could have stopped there, but unfortunately we still had to make significant cuts to arrive at the final list. This is where we took a closer look at the topics of the workshops, and clustered together proposals on similar topics to get a better side-by-side comparison within each area. We converged on the final decisions after reading all of the surviving proposals one more time, followed by several video calls where we discussed the merits of each potential workshop. Inevitably, we had to make some subjective decisions at this stage, reflecting our personal taste as scientists. We also had to consider some more complex soft criteria, such as whether to admit second (or third, etc.) installments of previous ICML workshops run by one group of organizers or to give a new group a chance to run a workshop on the same topic instead (answers varied on a case-by-case basis). During the review process, we had the privilege of getting a first-hand account of the topics that get the AI/ML community excited in 2026. It is no surprise that a significant part of the submissions were concerned with aspects of generative AI and large language models. Perhaps more surprisingly, some specific topics within this area were especially popular, most notably with some variation of “agentic AI” appearing in the title of no less than 60 submissions! Many of these proposals had significant overlap not only in their titles, self-described scopes and objectives, but also their invited speakers. Despite the massive interest, we could only accept a handful of these workshops to leave space for other topics as well. And indeed, besides a handful of exceedingly popular areas, the distribution of the topics observed in the submissions was extremely heavy-tailed: these ranged from philosophy, ethics, and governance through statistical hypothesis testing and game theory, all the way to wireless networking and finance. The diversity of the originally received proposals is clearly reflected in the final program, which stands as a testament to the lively creativity of our field today. We hope that each member of the ICML audience will find inspiration, insight, or possibly other unexpected values within the program. The selection of affinity workshops was independent of the workshop selection process, and done in consultation with the Inclusion & Accessibility chairs. Seven affinity workshop proposals were submitted, and four were selected for inclusion in the program. The proposals not selected were incomplete in some way, e.g., having unconfirmed speakers (or no speakers at all), or not having enough content to fill an entire workshop. Workshops Links to individual workshops are provided where available, several workshop submission servers can be found on OpenReview . Details may be updated, please email Gautam Kamath if there is information that is incorrect or missing. SCALE: Scalable Learning and Optimization for Efficient Multimodal AI Agents 2nd Workshop on Compositional Learning: Safety, Interpretability, and Agents Structured Probabilistic Inference & Generative Modeling: open challenges and beliefs beyond scaling and benchmarking Combining Theory and Benchmarks: Towards A Virtuous Cycle to Understand and Guarantee Foundation Model Performance 1st Workshop on Culture x AI: Evaluating AI as a Cultural Technology AI for Science: AI Scientists — Tools, Co-authors, or Founders? Trustworthy AI for Good Graph Foundation Models: A New Era for Graph Machine Learning Technical AI Governance Research The 2nd Workshop on the Impact of Memorization on Trustworthy Foundation Models Workshop on Human-AI Co-Creativity: Advances, Opportunities, and Challenges The 2nd Workshop on Connecting Low-rank Representations in AI High Dimensional Learning Dynamics: the Science of Scaling Failure Modes in Agentic AI: Reproducible Triggers, Trace Diagnostics, and Verified Fixes The Second Workshop on Agents in the Wild: Safety, Security, and Beyond 3rd AI for Math Workshop: Toward Self-Evolving Scientific Agents ICML 2026 Workshop on Hypothesis Testing 3rd Workshop on Multi-modal Foundation Models and Large Language Models  for Life Sciences RLxF: RL from World Feedback Philosophy Meets Machine Learning: What Counts as Trustworthy? Game Theory in Nature: From Optimality to Equilibrium AI as a Tool for Mathematics, Computer Science, and Machine Learning Foundations of Deep Generative Models: Understanding Memorization, Generalization, and Reasoning Mechanistic Interpretability Continual Adaptation at Scale: Towards Sustainable AI AdaptFM: Resource-Adaptive Foundation Model Inference New Frontiers in Game-Theoretic Learning — NExT-Game The future of AI for biology at the intersection of generative and agentic AI AI for Law Workshop Efficient Multimodal Question Answering Pluralistic Alignment Workshop at ICML 2026 Planning in The Era of Language Models (LM4Plan) Learning to Listen: ICML 2026 Workshop on Machine Learning for Audio Structured Data for Health The 2nd Workshop on Epistemic Intelligence in Machine Learning: Learning under Unknown Unknowns for Real-world Impact Forecasting as a New Frontier of Intelligence Second Workshop of AI4NextG: AI and ML for Next-Generation Wireless – An Academia-Industry Collaboration Perspective Workshop on Weight-Space Symmetries: from Foundations to Practical Applications Foundation Models for Structured Data (FMSD @ ICML 2026) Decision-Making from Offline Datasets to Online Adaptation: Black-Box Optimization to Reinforcement Learning From Frames to Stories (F2S): Toward Reliable, Controllable and Trustworthy Long-Horizon Video Generation Deep Learning for Code: Towards Human-Centered Coding Agents Statistical Frameworks for Uncertainty in Agentic Systems AI4Physics: An ICML 2026 Workshop on AI for Physics Affinity Workshops The 6th Muslims in ML (MusIML) Workshop WiML Symposium at ICML 2026 LatinX in AI Workshop GlobalSouthML @ ICML 2026