International Conference on Machine Learning
ICML workshops
This page tracks 114 ICML workshop editions from 2024 to 2026, with 5,586 accepted papers. There are no open ICML workshop calls right now — new cycles are imported automatically as they're announced.
Call for ICML 2026 workshop proposals ↗ — closed Feb 13, 2026
By year: ICML 2026 · ICML 2025 · ICML 2024 · Acceptance rate ↓
ICML 2026 deadline and dates
The ICML 2026 paper deadline was Jan 29, 2026, 11:59 UTC (abstracts closed Jan 24, 2026, 11:59 UTC). The conference ran Jul 6–11, 2026 in Seoul, South Korea.
ICML 2026: deadline, dates and workshops → · icml.cc ↗ · All AI conference deadlines →
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ICML 2026
- PastICML Workshop on Technical AI Governance Research
- PastEpistemic Intelligence in Machine Learning
- PastMultimodal AI Agents
- PastStatistical Frameworks for Uncertainty in Agentic Systems
- PastStructured Data for Health
- PastSecond Workshop of AI4NextG @ ICML 2026: AI and ML for Next-Generation Wireless
- PastContinual Adaptation at Scale: Towards Sustainable AI Workshop
- Past
- PastLM4Plan -26May 7, 2026, 13:30 UTCLM4Plan
- PastAI4ScienceMay 8, 2026, 11:59 UTC· abstract closed May 7, 2026, 11:59 UTC· 176 papersSeoul, South KoreaAI for Science Workshop
- PastAI4PhysicsMay 8, 2026, 23:59 UTCAI for Physics
- Past2nd Workshop on Compositional Learning: Safety, Interpretability, and Agents
- Past2nd ICML Workshop on Foundation Models for Structured Data
- PastAdaptFM: Resource-Adaptive Foundation Model Inference
- PastCombining Theory and Benchmarks: Towards A Virtuous Cycle to Understand and Guarantee Foundation Model Performance
- PastFoundations of Deep Generative Models: Understanding Memorization, Generalization, and Reasoning
- PastMechanistic Interpretability Workshop
- PastWeight-Space Symmetries: from Foundations to Practical Applications
- PastWorkshop on Graph Foundation Models: A New Era for Graph Machine Learning
- PastPluralistic Alignment Workshop
- PastSecond Workshop on Agents in the Wild: Safety, Security, and Beyond
- PastStructured Probabilistic Inference & Generative Modeling
- PastThe 2026 Workshop on Generative and Agentic AI for Biology
- PastThe Second Workshop on the Impact of Memorization on Trustworthy Foundation Models at ICML
- PastHuman-AI Co-Creativity
- PastDecision-Making from Offline Datasets to Online Adaptation: Black-Box Optimization to Reinforcement Learning
- PastTrustworthy AI for Good (AI4GOOD) Workshop
- PastWorkshop on Failure Modes of Agentic AI
- Past3rd Workshop on Multi-modal Foundation Models and Large Language Models for Life Sciences
- PastFrom Frames to Stories (F2S): Toward Reliable, Controllable and Trustworthy Long-Horizon Video Generation
- PastICML'26 workshop on CoLoRAI - The 2nd Workshop on Connecting Low-rank Representations in AI
- PastHigh-dimensional Learning Dynamics 2026
- PastNew Frontiers in Game-Theoretic Learning - NExT-Game
- PastCulture x AI: Evaluating AI as a Cultural Technology
- PastThe ICML 2026 Workshop on Hypothesis Testing
- PastAI as a Tool for Mathematics, Computer Science, and Machine Learning
- PastRLxFMay 14, 2026, 23:59 UTCRL from World Feedback
- PastForecasting as a New Frontier of Intelligence
- PastDL4CMay 20, 2026, 12:00 UTCDeep Learning for Code: Towards Human-Centered Coding Agents
- PastAI for Law Workshop
- PastLatinX in AI Workshop
- Past3rd AI for Math Workshop: Toward Self-Evolving Scientific Agents
- PastThe 6th Muslims in ML (MusIML) Workshop
- PastEMM-QAMay 30, 2026, 12:30 UTCICML Workshop - Efficient Multimodal Question Answering
- PastPhilosophy Meets Machine Learning
ICML 2025
36 workshops · 1,568 accepted papers · All ICML 2025 workshops →
ICML 2024
33 workshops · 1,505 accepted papers · All ICML 2024 workshops →
ICML acceptance rate
ICML 2026 accepted 6,552 of 24,661 submissions, an acceptance rate of 26.6%. Over the 12 years recorded here it has ranged from 21.5% to 27.9%.
| Year | Submitted | Accepted | Rate | Breakdown |
|---|---|---|---|---|
| ICML 2026 | 24,661 | 6,552 | 26.6% | |
| ICML 2025 | 12,107 | 3,260 | 26.9% | |
| ICML 2024 | 9,473 | 2,609 | 27.5% | |
| ICML 2023 | 6,538 | 1,827 | 27.9% | 158 live orals, 1669 virtual orals with posters |
| ICML 2022 | 5,630 | 1,235 | 21.9% | 118 long talks, 1117 short talks |
| ICML 2021 | 5,513 | 1,184 | 21.5% | 166 long talks, 1018 short talks |
| ICML 2020 | 4,990 | 1,088 | 21.8% | |
| ICML 2019 | 3,424 | 773 | 22.6% | |
| ICML 2018 | 2,473 | 621 | 25.1% | |
| ICML 2017 | 1,676 | 434 | 25.9% | |
| ICML 2016 | — | 322 | 24.0% | |
| ICML 2015 | 1,037 | 270 | 26.0% |
Main-conference figures from the community-maintained ccf-deadlines and Conference-Acceptance-Rate tables, refreshed daily. Workshops set their own, usually higher, acceptance rates.
Frequently asked questions
- When is the ICML 2026 paper submission deadline?
- The ICML 2026 paper deadline was Jan 29, 2026, 11:59 UTC (abstracts closed Jan 24, 2026, 11:59 UTC). The conference ran Jul 6–11, 2026 in Seoul, South Korea. Workshop deadlines are separate and usually later; each ICML workshop below lists its own. Confirm the main-conference date on the official site before submitting.
- When are ICML workshop paper submission deadlines?
- There are no open ICML workshop calls at the moment. Upcoming deadlines are added automatically as workshops announce them; past editions and their deadlines are listed below.
- What is the ICML acceptance rate?
- ICML 2026 accepted 6,552 of 24,661 submissions, an acceptance rate of 26.6%. Over the 12 years recorded here it has ranged from 21.5% to 27.9%. The full table, with the accepted and submitted counts per year, is on this page; workshops have their own, usually higher, rates.
- How many ICML workshops are tracked here?
- 114 ICML workshop editions spanning 2024–2026, together listing 5,586 accepted papers.
- Where can I find accepted papers from ICML workshops?
- Each workshop's page lists its accepted papers, sourced from OpenReview where available. Across ICML workshops, 5,586 papers are currently listed and searchable.
- Are these ICML workshop deadlines official?
- These deadlines are drawn from each workshop's official call for papers and its OpenReview page where available, so they're generally reliable — but the data is community-maintained, and a workshop may update its own page without updating OpenReview. Always confirm the exact deadline on the official workshop page before submitting.
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