Call for Papers
Important dates
Submission: September 02 , 2024 (23:59 AoE)
Review period: September 25 to October 09, 2024
Rebuttal for authors: October 16 to 23, 2024
Post-rebuttal discussion (final decisions): October 24 - 31, 2024
Author notification: November 06, 2023
Call for Papers
Please join for the 8th Northern Lights Deep Learning Conference (NLDL) in Tromsø, Norway, organized by Visual Intelligence and the UiT Machine Learning Group.
We look forward to gathering the deep learning community again in the cool arctic air for a physical conference.
In addition, the NLDL winter school, which is a part of the NORA research school http://nora.ai, starts at Jan 8 and ends at Jan 12 and incorporates events during the main conference days. The winter school includes scientific topics, industry event, women in AI event, and transferrable skills. More information coming soon at http://www.nldl.org/winter-school.
We invite submissions presenting new and original research on all aspects of Deep Learning. The topics include but are not limited to the following:
General Machine Learning (active learning, clustering, online learning, ranking, reinforcement learning, supervised, semi- and self-supervised learning, time series analysis, etc.)
General Deep Learning (architectures, generative models, deep reinforcement learning, etc.)
Optimization (convex and non-convex optimization, matrix/tensor methods, stochastic, online, non-smooth, composite, etc.)
Probabilistic methods (Bayesian methods, variational inference, graphical models, etc.)
Social and economic aspects of Machine Learning (accountability, causality, fairness, privacy, robustness, interpretability, etc.)
Applications (vision, language, signals, speech and audio, etc.)
Deep Learning for Sciences (biology and medicine, environment and ecology, physics, etc.)
As always, we are happy to have top international speakers. This year, for instance
A tentative program will be available soon. We hope to see many participants for a nice scientific gathering on the “north pole”, including social events, and hopefully some northern lights
How to submit a contribution
We invite participants to submit in PDF format a 5-page full paper (included in proceedings) 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.
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.
Reference instructions
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.
Additional information
All authors must have an active account in Open Review (no exceptions).
Authors cannot be added to the papers once the submission is made (no exceptions).
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 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.
Follow the following link to submit your submission in Open Review:
Proceedings
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. 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, check the Author FAQ. For problems with the submission side, please contact the program chairs: nldl.conf@gmail.com.
Contacting PCs: the PCs will be fully dedicated to ensuring the proper allocation of papers to suitable ACs and reviewers and to overseeing the review process. PCs will strictly adhere to the following policies:
Late submissions will not be accepted under any circunstances.
Submissions of papers, or updates to papers, via email will not be accepted.
Requests to modify lists of authors will not be considered, regardless of the justification provided.
Detailed elucidation of the policies will not be provided.
Questions already answered in the FAQ will not be answered by contacting the PCs.