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ICML 2021 : International Conference on Machine Learning

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Conference Series : International Conference on Machine Learning
 
Link: https://icml.cc/Conferences/2021/CallForPapers
 
When Jul 18, 2021 - Jul 24, 2021
Where Virtual
Abstract Registration Due Jan 28, 2021
Submission Deadline Feb 4, 2021
Notification Due May 8, 2021
Final Version Due Jun 10, 2021
Categories    machine learning   artificial intelligence
 

Call For Papers

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 Dec 29, 2020

Abstract submission deadline Jan 28, 2021 AOE

Full paper submission deadline Feb 04, 2021 AOE

Supplementary materials deadline Feb 11, 2021 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:

https://cmt3.research.microsoft.com/ICML2021/

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.

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