Call for Abstracts
Important dates
Submission: October 20, 2024 (23:59 AoE)
Review period: October 24 to November 03, 2024
Author notification: November 08, 2024
Call for Abstracts
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.
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 2-page extended abstract (non-archival) 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 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 extended abstracts in Open Review:
Proceedings
The extended abstracts will not be archived. Consequently, they won't appear on the proceedings.
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.