Conference Information
ICML 2024: International Conference on Machine Learning
https://icml.cc/
Submission Date:
2024-02-01
Notification Date:
2024-05-01
Conference Date:
2024-07-21
Location:
Vienna, Austria
Years:
41
CCF: a   CORE: a*   QUALIS: a1   Viewed: 180635   Tracked: 632   Attend: 33

Call For Papers
The 41st International Conference on Machine Learning (ICML 2024) will be held in Vienna, Austria, July 21st - 27th, 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.

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.) - we do welcome strong application papers even if there is no new method or theory

This year we are introducing a separate track for position papers. Please consider submitting to this track if you feel that your work would be a better fit for this track instead of the main conference track. We anticipate similar acceptance rates for this track and the main conference track.

Papers published at ICML are indexed in the Proceedings of Machine Learning Research through the Journal of Machine Learning Research.
Last updated by Dou Sun in 2023-11-11
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
20225630123521.9%
20215513118421.5%
20204990108821.8%
2019342477322.6%
2018247362125.1%
2017167643425.9%
2015103727026%
201289024227.2%
201158915225.8%
201059415225.6%
200959516026.9%
200858315526.6%
200752215028.7%
200670014020%
200549113427.3%
200436811832.1%
200337111932.1%
20022618633%
20012498032.1%
200034915143.3%
19991525435.5%
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Related Journals
CCFFull NameImpact FactorPublisherISSN
aJournal of Machine Learning Research Microtome Publishing1532-4435
International Journal of Modern Physics CWorld Scientific0129-1831
cMachine TranslationSpringer0922-6567
Foundations and Trends in Machine LearningNow Publishers Inc.1935-8237
Electronic Journal of e-LearningAcademic Publishing Limited1479-4403
Journal of Function Spaces0.451Hindawi2314-8896
Engineering7.553Elsevier2095-8099
Wireless Power TransferCambridge University Press2052-8418
MachinesMDPI2075-1702
IEEE Transactions on Technology and SocietyIEEE2637-6415
Full NameImpact FactorPublisher
Journal of Machine Learning Research Microtome Publishing
International Journal of Modern Physics CWorld Scientific
Machine TranslationSpringer
Foundations and Trends in Machine LearningNow Publishers Inc.
Electronic Journal of e-LearningAcademic Publishing Limited
Journal of Function Spaces0.451Hindawi
Engineering7.553Elsevier
Wireless Power TransferCambridge University Press
MachinesMDPI
IEEE Transactions on Technology and SocietyIEEE
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