Connectionists: 7th Northern Lights Deep Learning Conference (NLDL) Deadline: Sep 15

[Ali Ramezani-Kebrya]

Please join the 7th Northern Lights Deep Learning Conference (NLDL) on 9-11 January 2024 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<http://nora.ai/>, starts on Jan 8, ends on Jan 12, and incorporates events during the main conference days. The winter school includes scientific topics, industry event, women in AI event, and transferable skills. Speakers include Mihaela van der Schaar, Gitta Kutyniok, and Rogelio Andrade Mancisidor. More information is available 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:

·         Mark Girolami - University of Cambridge & the Alan Turing Institute

·         Narges Razavian – New York University

·         Mathilde Caron – Google Research

·         Aasa Feragen – Technical University of Denmark


We are accepting two alternatives for contributions: (1) Full paper submissions (6 pages) will be presented either as orals or as posters and will be published in the conference proceedings. The proceedings are approved as a level 1 publication in the Norwegian national list of authorized research publication channels; (2) Extended abstracts (2 pages) will be presented as posters (but not published in the conference proceedings). The review process is double-blind.

Submission website: https://openreview.net/group?id=NLDL.org/2024



Deadline for both types of submissions: September 15th, 2023.



Instructions on template etc. can be found on https://www.nldl.org/call-for-papers.

A tentative program will be available soon at http://www.nldl.org/ and will include keynotes, scientific talks, an industry event, a Women in AI event and social events.

We hope to see many participants for a nice scientific gathering on the “north pole”, including social events, and hopefully some northern lights.

We thank our sponsors: G-Research, Kongsberg Satellite Services, Norwegian Computing Center, and DIPS AS.


Kind regards,

Adín Ramírez Rivera, Ali Ramezani-Kebrya, Benjamin Ricaud, Ahcene Boubekki, Kristoffer Wickstrøm, Sigurd Løkse

The NLDL 2024 program committee

nldl.conf at gmail.com<mailto:nldl.conf at gmail.com>

http://visual-intelligence.no<http://visual-intelligence.no/>

http://machine-learning.uit.no<http://machine-learning.uit.no/>


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