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ICML 2021 Call for Papers

The 38th International Conference on Machine Learning (ICML 2021) will be held online July 18-24, 2021. 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.

Important dates

This year, ICML will continue with a single review cycle,  as follows. 

Submissions open             Jan 09, 2024

Abstract submission deadline     The date PaperAbstractSubmissionDeadline not found.

Full paper submission deadline     Feb 01, 2024 AOE

All paper submission deadlines are "Anywhere On Earth." You may subscribe to these dates in your calendar on the dates page.

Abstracts and papers can be submitted through CMT:

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

  • General Machine Learning (active learning, clustering, online learning, ranking, reinforcement learning, semi-supervised learning, time series analysis, unsupervised learning, 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, sparsity, 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.)

Papers published at ICML are indexed in the Proceedings of Machine Learning Research through the Journal of Machine Learning Research.



Abstract and paper submission deadlines are strict. In no circumstances will extensions be given.

Changes of title/abstract/authorship:

Authors should include a full title for their paper, as well as a complete abstract by the abstract submission deadline. Submission titles should not be modified after the abstract submission deadline, and abstracts should not be modified by more than 50% after the abstract submission deadline. Submissions violating these rules may be deleted after the paper submission deadline without reviewing. The author list at the submission deadline will be considered final, and no changes in authorship will be permitted for accepted papers.

Double-Blind Review:

All submissions must be anonymized and may not contain any information with the intention or consequence of violating the double-blind reviewing policy, including (but not limited to) citing previous works of the authors or sharing links in a way that can infer any author’s identity or institution, actions that reveal the identities of the authors to potential reviewers.  

Authors are allowed to post versions of their work on preprint servers such as Arxiv. Also they are allowed to give talks to restricted audiences on the work(s) submitted to ICML during the review. If you have posted or plan to post a non-anonymized version of your paper online before the ICML decisions are made, the submitted version must not refer to the non-anonymized version.  

ICML strongly discourages advertising the preprint on social media or in the press while under submission to ICML. Under no circumstances should your work  be explicitly identified as ICML submission at any time during the review period, i.e. from the time you submit the abstract to the communication of the accept/reject decisions. 

Dual Submission:

It is not appropriate to submit papers that are identical (or substantially similar) to versions that have been previously published, accepted for publication, or submitted in parallel to other conferences or journals. Such submissions violate our dual submission policy, and the organizers have the right to reject such submissions, or to remove them from the proceedings. 

Reviewing Criteria:

Accepted papers must contain significant novel results. Results can be either theoretical or empirical. Results will be judged on the degree to which they have been objectively established and/or their potential for scientific and technological impact. Reproducibility of results and easy availability of code will be taken into account in the decision-making process.

Style and Author Instructions:

View author and style instructions. Style files and an example paper are available. Submitted papers that do not conform to these policies will be rejected without review.

Program Chairs:

Marina Meila (University of Washington)
Tong Zhang (The Hong Kong University of Science and Technology)

General Chair:

Maria Florina Balcan (Carnegie Mellon University)