ICML: International Conference on Machine Learning

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2024 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
ICML 2023 International Conference on Machine Learning
Jul 24, 2023 - Jul 30, 2023 Seoul, South Korea TBD
ICML 2022 39th International Conference on Machine Learning
Jul 17, 2022 - Jul 23, 2022 Baltimore, United States Feb 3, 2022 (Jan 27, 2022)
ICML 2021 International Conference on Machine Learning
Jul 18, 2021 - Jul 24, 2021 Virtual Feb 4, 2021 (Jan 28, 2021)
ICML 2020 37th International Conference on Machine Learning
Jul 12, 2020 - Jul 18, 2020 Vienna, AUSTRIA Feb 6, 2020 (Jan 30, 2020)
ICML 2019 36th International Conference on Machine Learning
Jun 10, 2019 - Jun 15, 2019 Long Beach, CA, USA Jan 23, 2019 (Jan 18, 2019)
ICML 2018 The 35th International Conference on Machine Learning
Jul 10, 2018 - Jul 15, 2018 Stockholmsmässan, Stockholm SWEDEN Feb 9, 2018
ICML 2017 34th International Conference on Machine Learning
Aug 6, 2017 - Aug 11, 2017 Sydney, Australia Feb 24, 2017
ICML 2016 33rd International Conference on Machine Learning (ICML-2016)
Jun 19, 2016 - Jun 24, 2016 New York Feb 5, 2016
ICML 2015 International Conference on Machine Learning 2015
Jul 6, 2015 - Jul 11, 2015 Lille, France Feb 6, 2015
ICML 2014 31st International Conference on Machine Learning
Jun 21, 2014 - Jun 26, 2014 Beijing, China Jan 31, 2014
ICML 2013 The 30th International Conference on Machine Learning
Jun 16, 2013 - Jun 21, 2013 Atlanta, GA, USA Feb 15, 2013
ICML 2012 29th International Conference on Machine Learning
Jun 27, 2012 - Jun 29, 2012 Edinburgh, Scotland, United Kingdom Feb 24, 2012
ICML 2010 The 27th International Conference on Machine Learning
Jun 21, 2010 - Jun 24, 2010 Haifa, Israel Feb 1, 2010
ICML 2009 The 26th International Conference On Machine Learning
Jun 14, 2009 - Jun 18, 2009 Montreal, Canada Jan 26, 2009
ICML 2008 International Conference on Machine Learning
Jul 6, 2008 - Jul 9, 2008 Helsinki, Finland Feb 8, 2008
 
 

Present CFP : 2023

ICML 2023 Call For Papers

The 40th International Conference on Machine Learning (ICML 2022) will be held in Honolulu, Hawaii USA July 23rd - July 29th, 2023, and is planned to be an in person conference with virtual elements. In addition to the main conference sessions, the conference will also include Expo, Tutorials, and Workshops. Please submit proposals to the appropriate chairs.

We invite submissions of papers on all topics related to machine learning for the main conference proceedings. All papers will be reviewed in a double-blind process and accepted papers will be presented at the conference. As with last year, papers need to be prepared and submitted as a single file: 8 pages as main paper, with unlimited pages for references and appendix. There will be no separate deadline for the submission of supplementary material. In addition, we require that, barring exceptional circumstances (such as visa problems) upon the acceptance of their papers, at least one of the authors must attend the conference, in person.

Important dates:

As noted above, this year, ICML will use a single paper submission deadline with a single review cycle, as follows.

Submissions open Jan 9th, 2023.

Full paper submission deadline Jan 26th, 2023 3pm EST.

Abstracts and papers can be submitted through OpenReview: https://openreview.net/group?id=ICML.cc/2023/Conference

Topics of interest include (but are not limited to):

General Machine Learning (active learning, clustering, online learning, ranking, reinforcement learning, supervised, semi- and self-supervised learning, time series analysis, etc.)
Deep Learning (architectures, generative models, deep reinforcement learning, etc.)
Learning Theory (bandits, game theory, statistical learning theory, etc.)
Optimization (convex and non-convex optimization, matrix/tensor methods, stochastic, online, non-smooth, composite, etc.)
Probabilistic Inference (Bayesian methods, graphical models, Monte Carlo methods, etc.)
Trustworthy Machine Learning (accountability, causality, fairness, privacy, robustness, etc.)
Applications (computational biology, crowdsourcing, healthcare, neuroscience, social good, climate science, etc.)
 

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