NLDL-2023 crowd
Harald Lykke Joakimsen

NLDL-2023 crowd

High spirits at the Northern Lights Deep Learning Conference - NLDL 2023

The Northern Lights Deep Learning Conference, Tromsø, January 9th to 13th, was a great gathering of 250 deep learning researchers.

Hight spirits at the Northern Lights Deep Learning Conference – NLDL 2023

The Northern Lights Deep Learning Conference, Tromsø, January 9th to 13th, was a great gathering of 250 deep learning researchers.

The conference brought together an international crowd of PhD students, academic researchers, and industry, for five days filled with keynotes, presentations, posters, diversity in AI event, industry event, panel discussions and social gatherings.

Line Clemmensen from the Technical University of Denmark giving a tutorial on data representativity and low-resource modeling in deep learning at the winter school. Photo: Harald Lykke Joakimsen/UiT

NLDL received a record number of submissions from 18 different countries yielding a strong scientific program and a high quality proceedings of articles.

New to NLDL this year was the PhD winter school which consisted of two days of tutorials by experts in the field, co-hosted by NORA as part of the NORA Research School. The winter school gathered 150 PhD students and young researchers. The tutorials were:

  • A gentle introduction to Deep Reinforcement Learning (Rudolf Mester and Even Klemsdal, NTNU Trondheim)
  • Self-Supervised Learning: Training Targets and Loss Functions (Zheng-Hua Tan, Aalborg University)
  • The Challenge of Unverfiability in eXplainable AI Evaluation (Anna Hedstrøm, TU Berlin)
  • Data representativity and low-resource modeling in deep learning (Line Clemmensen, Technical University of Denmark)
  • High Performance Computing for Deep Learning (Sabry Razick, University of Oslo; Hicham Agueny, University of Bergen; Vetle Hofsøy, UiT The Arctic University of Norway)
  • Representation learning and learning with few data (Marcus Liwicki, Luleå University of Technology)
Anna Hedstrøm fron TU Berlin giving a tutorial on explainable AI at the first day of the Winter School. Photo: Harald Lykke Joakimsen/UiT.

NLDL featured prominent keynote speakers within deep learning research giving exciting talks:

  • AI for Science: Discovering diverse classes of equations in medicine and beyond (Mihaela van der Schaar, Cambridge University)
  • Learning to read X-ray: applications to heart failure monitoring (Polina Golland, MIT)
  • Deep Learning and remote sensing for ecosystem monitoring (Christian Igel, University of Copenhagen)
We are extremely proud to gather our international, Nordic, and national colleagues for a whole week of scientific interactions and chasing of the Northern Lights. NLDL is organized by the Visual Intelligence research centre and the UiT Machine Learning Group, and we are truly grateful to all our co-workers for taking part in the local organization. NLDL wouldn’t be possible without all the fantastic reviewers, and of course all the participants. Thank you!  

Says the organizers Michael Kampffmeyer, Robert Jenssen and  Sigurd Eivindson Løkse.

Next years conference is already under planning and will be hosted January 8th– 12th 2024.

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