目前ICML2024官网已经公布截稿时间线和Call For Papers信息，官网地址：
https://icml.cc/Conferences/2024/
论文提交地址：
https://openreview.net/group?id=ICML.cc/2024/Conference
Openreview开放投稿时间：24/1/9
全文截稿时间：24/2/1
录用通知时间：24/5/1
会议时间：24/7/21
征稿范围：
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
关于使用LLM写作：
The use of LLMs is allowed as a
general-purpose writing assist tool. Authors should understand that they
take full responsibility for the contents of their papers, including
content generated by LLMs that could be construed as plagiarism or
scientific misconduct (e.g., fabrication of facts). LLMs are not
eligible for authorship.
去年ICML2023要求的是只能使用LLM润色文字，不能有整段的生成内容，再看今年的要求，能明显感觉到趋势是开放的。
双盲审稿要求：
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. They are also
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 paper to the communication of
the accept/reject decisions.
点击【轻松参会】小程序进ICML投稿交流群：
近期热门推文：
新鲜出炉! ICLR2024审稿分数统计! 附投稿交流群
11.3-11.16截稿CCF会议8条, 最高录用35.48%, CVPR等 (附投稿群)
【轻松参会】为所有CCF收录会议与期刊设立投稿交流群，后台回复会议名/期刊名即可进群。公众号文章会发布近期截稿会议、转投会议推荐、录用率趋势、录用分数分析等重要信息，同时会发布最新的CS/AI招聘招生信息。
