The International Conference on Machine Learning (ICML) is the longest-running and most prestigious venue for publishing and presenting machine learning research. Organized annually by the International Machine Learning Society (IMLS), ICML covers machine learning theory, algorithms, and applications spanning artificial intelligence, statistics, data science, computer vision, computational biology, and robotics. It is one of the fastest-growing AI conferences in the world, with submissions more than doubling year over year in recent years, and attracts academic researchers, industry professionals, engineers, and students from around the globe.
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Theory of Change
ICML advances machine learning research by providing a rigorous peer-reviewed venue for disseminating new findings, methods, and theories. By convening the global ML research community annually, it accelerates scientific progress, facilitates collaboration, and raises the quality bar for published work. Indirectly, this supports AI safety by advancing understanding of ML systems, though ICML itself is not specifically focused on safety or existential risk reduction.
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Details
- Last Updated
- Apr 2, 2026, 9:53 PM UTC
- Created
- Mar 20, 2026, 2:34 AM UTC