International Conference on Machine Learning

The International Conference on Machine Learning (ICML) is an international academic conference in machine learning held annually since 1980. It is the oldest and, along with NeurIPS and ICLR, one of the three primary conferences of highest impact and reputation in machine learning and artificial intelligence research. It is organized by the International Machine Learning Society (IMLS). Precise dates vary year to year, but paper submissions are generally due at the end of January, and the conference is generally held the following July.

International Conference on Machine Learning
AbbreviationICML
DisciplineMachine learning, artificial intelligence, feature learning
Publication details
History1980–present
FrequencyAnnual
Open access
yes (on openreview.net)
Websitehttps://icml.cc/

History

ICML began as the International Workshop on Machine Learning, first held at Carnegie Mellon University in Pittsburgh in July 1980 and organized by Jaime Carbonell, Ryszard S. Michalski, and Tom M. Mitchell. In 1993 it transitioned to a full conference series under the current name, building on nearly a decade of workshops.  Since the 2010s its proceedings have been published open-access in the Proceedings of Machine Learning Research (PMLR), which grew out of JMLR’s Workshop & Conference Proceedings and was renamed PMLR in 2015.

ICML has published many important research papers that form the foundation of modern Artificial Intelligence. Some notable works include Lawrence Berkeley National Laboratory's K-means clustering via PCA (ICML 2004); Google's Batch Normalization; Google Brain's EfficientNet (ICML 2019); OpenAI's CLIP (ICML 2021) and the University of Berkeley's Soft Actor-Critic (ICML 2018).

The number of submitted (and accepted) papers has sharply increased within 10 years; from 1037 (270) in 2015 to 12107 (3260) in 2025. Meanwhile, the acceptance rate continues to averages between 21 % (2020) and 30 % (2024). 2026 marked a new record with 24371 submitted papers, more than doubling the previous year.

Profile

ICML’s scope spans the full breadth of machine learning, with particular emphasis on theoretical analysis, algorithmic innovation, and statistical learning. Compared to the other two big machine learning conferences NeurIPS and ICLR, ICML traditionally features more content on statistical learning theory, reinforcement learning and robotics, and optimization theory. Its annual proceedings are published in the open-access Proceedings of Machine Learning Research (PMLR).

ICML attracts sponsors seeking access to ML research and talent. Technology companies such as Google, Microsoft, Amazon, Meta, Apple are among sponsors, regularly publishing their research and recruiting researchers at the conference. Financial firms, such as Citadel Securities, Jane Street Capital and D.E. Shaw, also often have a presence at ICML.

Locations

  • ICML 2026 Seoul, South Korea
  • ICML 2025 Vancouver, Canada
  • ICML 2024 Vienna, Austria
  • ICML 2023 Honolulu, United States
  • ICML 2022 Baltimore, United States
  • ICML 2021 Vienna, Austria (virtual conference)
  • ICML 2020 Vienna, Austria (virtual conference)
  • ICML 2019 Los Angeles, United States
  • ICML 2018 Stockholm, Sweden
  • ICML 2017 Sydney, Australia
  • ICML 2016 New York City, United States
  • ICML 2015 Lille, France
  • ICML 2014 Beijing, China
  • ICML 2013 Atlanta, United States
  • ICML 2012 Edinburgh, United Kingdom
  • ICML 2011 Bellevue, United States
  • ICML 2010 Haifa, Israel
  • ICML 2009 Montréal, Canada
  • ICML 2008 Helsinki, Finland
  • ICML 2007 Corvallis, United States
  • ICML 2006 Pittsburgh, United States
  • ICML 2005 Bonn, Germany
  • ICML 2004 Banff, Canada
  • ICML 2003 Washington DC, United States
  • ICML 2002 Sydney, Australia
  • ICML 2001 Williamstown, United States
  • ICML 2000 Stanford, United States
  • ICML 1999 Bled, Slovenia
  • ICML 1998 Madison, United States
  • ICML 1997 Nashville, United States
  • ICML 1996 Bari, Italy
  • ICML 1995 Tahoe City, United States
  • ICML 1994 New Brunswick, United States
  • ICML 1993 Amherst, United States
  • ICML 1992 Aberdeen, United Kingdom
  • ICML 1991 Evanston, United States
  • ICML 1990 Austin, United States
  • ICML 1989 Ithaca, United States
  • ICML 1988 Ann Arbor, United States
  • ICML 1987 Irvine, United States
  • ICML 1985 Skytop, United States
  • ICML 1983 Monticello, United States
  • ICML 1980 Pittsburgh, United States

See also

  • ICLR
  • Journal of Machine Learning Research
  • Machine Learning (journal)
  • NeurIPS

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