Call for Papers
Submission (extended): September 1st, 2023 September 15th, 2023 (23:59 AoE)
Review period starts: September 25, 2023
Review period ends: October 08, 2023
Rebuttal for authors: October 16 to 23, 2023
Post-rebuttal discussion (final decisions): October 24 - 31, 2023
Author notification: November 06, 2023
Call for Papers
How to submit a contribution
We invite participants to submit in PDF format either
a 2-page extended abstract (non-archival) or
a 5-page 6-page full paper (included in proceedings). Given the changes in the template, the equivalent content requires less number of pages.
in the area of Deep Learning. References can go beyond the page limit.
All submissions will undergo double-blind peer review. It will be up to the authors to ensure the proper anonymization of their paper. Do not include any names or affiliations. Refer to your own past work in the third-person, or if needed insert a blank reference. Accepted contributions will be accepted as contributing talks or poster presentations.
A ZIP archive with a LaTeX template can be downloaded here.
We are moving to a new template and it is maintained in the repository for the conference. You can download the latest packaged template here or follow the instructions in the repository to clone the template. Detailed style guidelines can be found within the main.tex or in the compiled versions here.
References need to include a DOI (if it exists)
When citing arXiv papers, the authors need to check if the paper has been published. If there is a published version of the paper, it should be cited instead of the arXiv version.
We allow authors to upload a preprint of the submitted papers to arXiv
For the camera ready version of accepted papers, we allow the authors to add a 6th 7th page to their paper in order to address requests from the reviewers
At least one author must register for the conference and present their work in person. If the covid-situation should change dramatically, then we will inform about any changes in this policy and will inform the registered participants
Follow the following link to submit your submission (both full papers and extended abstracts):
There will be a peer-review process for the NLDL submissions and the 5-6 page contributions are to be considered as 'full' publications. The proceedings will be published through Proceedings of Machine Learning Research Septentrio Academic Publishing. The proceedings have been accepted as a Level 1 publication in the Norwegian system.
Copyright for accepted papers
Authors of accepted extended abstracts (non-archival submissions) retain full copyright of their work, and acceptance of such a submission does not preclude publication of the same material in another journal or conference.
Papers aimed for proceedings should follow general dual submission policies and submissions that are identical or substantially similar to papers that are in submission to, have been accepted to, or have been published in other archival conferences, journals, workshops, etc. will be rejected. Authors should clearly state any overlapping published or submitted work at the time of submission. Authors should ensure that they are not violating any other venue dual submission policies. Papers in proceedings will be assigned the CCBY 4.0 license, and must sign a publication license agreement with PMLR.
Questions & Problems
For questions about the submission process or problems with the submission side, please contact the program chairs: email@example.com.