[CFP] Northern Lights Deep Learning Conference (9th edition), Tromsø (“North Pole”), Norway
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Benjamin Ricaud
Jun 11, 2025, 6:53:58 AM6/11/25
to Machine Learning News
**Deadline for full paper submissions: September 01, 2025.**
The 2026 edition of the Northern Lights Deep Learning Conference (NLDL) will take place on 6-8 January 2026 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.
The conference includes scientific topics, an industry event, diversity in AI event, and transferable skills. The NLDL winter school, which is a part of the NORA research school http://nora.ai, starts on Jan 5, ends on Jan 9, and incorporates events during the main conference days. The winter school tutorials are hosted by internationally leading experts, and we are happy to have researchers such as Mihaela van der Schaar from the University of Cambridge and Aiden Durrant from the University of Aberdeen already confirmed as tutorial speakers. More information is coming soon at 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 Deep Learning (architectures, generative models, deep reinforcement learning, etc.)
- Machine Learning related to deep learning (active learning, clustering, online learning, ranking, reinforcement learning, supervised, semi- and self-supervised learning, time series analysis, etc.)
- Optimization (convex and non-convex optimization, matrix/tensor methods, stochastic, online, non-smooth, composite, etc.)
- 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, we have confirmed:
- Devis Tuia, Swiss Federal Technology Institute of Lausanne (EPFL), Switzerland
- Yuki M. Asano, the University of Technology Nuremberg, Germany
and more to come.
We are accepting two tracks of contributions: (1) Full paper submissions (5 to 8 pages full paper included in proceedings) 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 and will appear in PMLR. (2) Extended abstracts (2 pages) will be presented as posters (but not published in the conference proceedings). The review process is double-blind.
Deadline for full paper submissions: September 01, 2025.
Deadline for extended abstracts: Mid-October 2025 (exact date to be announced).
Instructions about the template and submission can be found on http://www.nldl.org.
A tentative program will be available soon at http://www.nldl.org/ and will include keynotes, scientific talks, an industry event, a diversity 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!
Kind regards,
The NLDL 2026 organizing committee
http://visual-intelligence.no
http://machine-learning.uit.no
The 2026 edition of the Northern Lights Deep Learning Conference (NLDL) will take place on 6-8 January 2026 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.
The conference includes scientific topics, an industry event, diversity in AI event, and transferable skills. The NLDL winter school, which is a part of the NORA research school http://nora.ai, starts on Jan 5, ends on Jan 9, and incorporates events during the main conference days. The winter school tutorials are hosted by internationally leading experts, and we are happy to have researchers such as Mihaela van der Schaar from the University of Cambridge and Aiden Durrant from the University of Aberdeen already confirmed as tutorial speakers. More information is coming soon at 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 Deep Learning (architectures, generative models, deep reinforcement learning, etc.)
- Machine Learning related to deep learning (active learning, clustering, online learning, ranking, reinforcement learning, supervised, semi- and self-supervised learning, time series analysis, etc.)
- Optimization (convex and non-convex optimization, matrix/tensor methods, stochastic, online, non-smooth, composite, etc.)
- 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, we have confirmed:
- Devis Tuia, Swiss Federal Technology Institute of Lausanne (EPFL), Switzerland
- Yuki M. Asano, the University of Technology Nuremberg, Germany
and more to come.
We are accepting two tracks of contributions: (1) Full paper submissions (5 to 8 pages full paper included in proceedings) 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 and will appear in PMLR. (2) Extended abstracts (2 pages) will be presented as posters (but not published in the conference proceedings). The review process is double-blind.
Deadline for full paper submissions: September 01, 2025.
Deadline for extended abstracts: Mid-October 2025 (exact date to be announced).
Instructions about the template and submission can be found on http://www.nldl.org.
A tentative program will be available soon at http://www.nldl.org/ and will include keynotes, scientific talks, an industry event, a diversity 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!
Kind regards,
The NLDL 2026 organizing committee
http://visual-intelligence.no
http://machine-learning.uit.no
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