2024 - Call For Papers
May 7th to May 11th, 2024
We invite submissions to the 12th International Conference on Learning Representations, and welcome paper submissions from all areas of machine learning.
For any information needed that is not listed below, please submit questions using this link: https://iclr.cc/Help/Contact.
Questions can be directed to: email@example.com
The planned dates are as follows (all times are UTC-12h, aka “Anywhere on Earth”):
- Abstract submission: 11:59pm, Sept 23 (Note: this date was originally Sept 21st)
- Submission date: 11:59pm, Sept 28
- Reviews released: Nov 10
- Author/Reviewer Discussion: Nov 10-22
- Final decisions: Jan 15 2024
We consider a broad range of subject areas including feature learning, metric learning, compositional modeling, structured prediction, reinforcement learning, uncertainty quantification and issues regarding large-scale learning and non-convex optimization, as well as applications in vision, audio, speech, language, music, robotics, games, healthcare, biology, sustainability, economics, ethical considerations in ML, and others.
A non-exhaustive list of relevant topics:
- unsupervised, self-supervised, semi-supervised, and supervised representation learning
- transfer learning, meta learning, and lifelong learning
- reinforcement learning
- representation learning for computer vision, audio, language, and other modalities
- metric learning, kernel learning, and sparse coding
- probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.)
- generative models
- causal reasoning
- learning theory
- learning on graphs and other geometries & topologies
- societal considerations including fairness, safety, privacy
- visualization or interpretation of learned representations
- datasets and benchmarks
- infrastructure, software libraries, hardware, etc.
- neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.)
- applications to robotics, autonomy, planning
- applications to neuroscience & cognitive science
- applications to physical sciences (physics, chemistry, biology, etc.)
- general machine learning (i.e., none of the above)
Double blind reviewing
Submissions will be double blind: reviewers cannot see author names when conducting reviews, and authors cannot see reviewer names. Having papers on arxiv is allowed per the dual submission policy outlined below.
We use OpenReview to host papers and allow for public discussions that can be seen by all, comments that are posted by reviewers will remain anonymous. The program will include oral presentations and posters of accepted papers.
Authors can revise their paper as many times as needed up to the paper submission deadline. Changes to the paper will not be allowed while the paper is being reviewed. During the discussion phase (between area chairs, reviewers and authors), edits will again be allowed; a pdfdiff will be done against the submission at the paper submission deadline. Authors are encouraged to be explicit and precise about changes to the paper in their response to reviews. Area chairs and reviewers reserve the right to ignore changes that are significant from the original scope of the paper.
As in past years, workshops will have their own organization and call for contributions.
This year we are asking authors to submit paper abstracts by the abstract submission deadline of Sept 23, 2023. Please note that no changes on the authors and their orders can be made after the abstract submission deadline. Also, please make sure that all authors have an OpenReview profile with the latest information. Abstracts submitted by the abstract submission deadline must be genuine; placeholder or duplicate abstracts will be removed.
The full paper submission deadline is Sept 28, 2023 11:59pm AOE. Abstracts and papers must be submitted using the conference submission system at: https://openreview.net/group?id=ICLR.cc/2024/Conference. The submission site will be open on September 15, 2023. Supplementary material is due at the same time as the main paper.
There will be a strict upper limit of 9 pages for the main text of the submission, with unlimited additional pages for citations. This page limit applies to both the initial and final camera ready version.
- Authors may use as many pages of appendices (after the bibliography) as they wish, but reviewers are not required to read the appendix.
Style files and Templates
To prepare your submission to ICLR 2024, please use the LaTeX style files provided at:
Authors are strongly encouraged to participate in the public discussion of their paper, as well as of any other paper submitted to the conference. Submissions and reviews are both anonymous. For detailed instructions about the format of the paper, please visit www.iclr.cc.
- Submissions to ICLR are uploaded on OpenReview, which enables public discussion. Official reviews are anonymous and publicly visible. During the public discussion phase, anybody who is logged in can post comments that are publicly visible, or restrict visibility to reviewers and up, ACs and up, or just PCs. In addition, the author of a comment can decide to post anonymously or not. Login is required before posting any comment.
- Once reviews have been posted, authors are encouraged to revise their paper until the paper submission deadline. Authors can participate in the discussion about their paper, as well as about any other paper submitted to the conference, at any time.
- Full reviews are posted by Nov 10. Reviews are anonymous and publicly visible in OpenReview. Once the reviews are posted, authors are free to upload modifications to the paper during the discussion period.
- During the discussion period, if you choose to update the submission, a pdfdiff will be applied to compare new changes to the paper against the original submission. Area chairs and reviewers reserve the right to ignore changes that are significantly different from the original paper. In addition, during this period, any submission that is cited will be given an anonymous BibTex entry.
- After discussion there will be an internal discussion period amongst reviewers and ACs with the aim of summarizing the review process, after which acceptance decisions are made. Papers that are not accepted will be considered non-archival, and may be submitted elsewhere (modified or not), although the OpenReview site will maintain the reviews, the comments, and links to the versions submitted to ICLR.
- All submitted papers (accepted or rejected) will be deanonymized after the notification. The submissions and reviews will be released to the public.
Code of Conduct
All ICLR participants, including authors, are required to adhere to the ICLR code of conduct (https://iclr.cc/public/CodeOfConduct). More detailed guidance for authors, reviewers, and all other participants will be made available in due course, and participation will require acknowledging and adhering to the provided guidelines.
Code of Ethics
All ICLR participants, including authors, are required to adhere to the ICLR Code of Ethics (https://iclr.cc/public/CodeOfEthics). All authors of submitted papers are required to read the Code of Ethics, adhere to it, and explicitly acknowledge this during the submission process. The Code of Ethics applies to all conference participation, including paper submission, reviewing, and paper discussion.
Dual Submission Policy
Submissions that are identical (or substantially similar) to versions that have been previously published, or accepted for publication, or that have been submitted in parallel to this or other conferences or journals, are not allowed and violate our dual submission policy. However, papers that cite previous related work by the authors and papers that have appeared on non-peer reviewed websites (like arXiv) or that have been presented at workshops (i.e., venues that do not have publication proceedings) do not violate the policy. The policy is enforced during the whole reviewing process period. Submission of the paper to archival repositories such as arXiv is allowed during the review period.
To allow citation of papers that are under review at ICLR2024, OpenReview provides BibTeX entries that do not list the authors, but does give the title, year and url. Author names are revealed at the end of the conference.
The Use of Large Language Models (LLMs)
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.
Authors have the right to withdraw papers from consideration at any time until paper notification. Before the paper submission deadline, if an author withdraws the paper it will be deleted from the OpenReview hosting site. However, note that after the paper submission deadline, if an author chooses to withdraw a submission, it will remain hosted by OpenReview in a publicly visible "withdrawn papers" section. Like on arXiv, submissions to ICLR cannot be deleted or modified. Withdrawn papers will be de-anonymized immediately.