Call for Papers

Please join for 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, 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 

• Mark Girolami – University of Cambridge/Alan Turing Institute 

• Narges Razavian – New York University

• Mathilde Caron – Google Research

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