Important dates

• Submission due: October 4, 2023, 11:59pm PST ---> October 6, 2023 at 11:59pm PST.

• Decision notification:  November 2, 2023

• Meeting dates: November 30 - December 1, 2023

Poster and oral presentation instructions

• Oral presentations: TBD

• Poster presentations: TBD

Submission instructions

Papers should describe research on novel learning approaches or application areas in computational biology. A strong submission to the workshop typically presents a new learning method that yields new biological insights or applies an existing learning method to a new biological problem. However, submissions that improve upon existing methods for solving previously studied problems will also be considered. Examples of research presented in previous years: MLCB2022, MLCB2021, MLCB2019. 

We will accept submission in two tracks through CMT: https://cmt3.research.microsoft.com/MLCB2023. 

1) 8-page papers that are eligible to (optionally) be published online in an MLCB section of the Proceedings of Machine Learning Research. 

2) 2-page abstracts which is more appropriate for work in progress (not eligible for publication). 

Format and submission guidelines

• Researchers should upload a 2 page abstract (excluding references) or an 8 page paper (excluding references) in PDF format to the MLCB submission website by October 4 (see above for submission link). Submissions exceeding the page limit will be automatically rejected. 

• No special style is required for 2-page abstracts. For 8-page papers, we ask authors to use standard font size 11 pt and margins 1 in.  We prefer single-column format. 

• We also allow parallel submission to the preprint servers, and the inclusion of appendix/supplementary materials as long as the main paper is self-contained and reviewers are not required to read the appendix.

• The workshop allows submissions of papers (for both tracks) that are under review or have been recently published in a conference or a journal.  If you are submitting such a paper, please specify whether the submission is published or under consideration. Such submissions are not eligible for publication in PMLR. 

• We are no longer asking the authors to anonymize their submission(s).