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Volume 233: Northern Lights Deep Learning Conference, 9-11 January 2024, UiT The Arctic University, Tromsø, Norway

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Editors: Tetiana Lutchyn, Adín Ramírez Rivera, Benjamin Ricaud

[bib][citeproc]

FastStitch: Speech editing by hitch-hiking a pre-trained FastSpeech2 model

Antonios Alexos, Pierre Baldi; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:1-6

Deep Learning Over-Parameterization: the Shallow Fallacy

Pierre Baldi; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:7-12

Deep Reinforcement Learning for Goal-Based Investing Under Regime-Switching

Tessa Bauman, Sven Goluža, Bruno Gasperov, Zvonko Kostanjcar; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:13-19

A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and Prognostics

Marie Bø-Sande, Edvin Benjaminsen, Neel Kanwal, Saul Fuster, Helga Hardardottir, Ingrid Lundal, Emilius A.M. Janssen, Kjersti Engan; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:20-26

Towards AI for approximating hydrodynamic simulations as a 2D segmentation task

Lydia Bryan-Smith, Nina Dethlefs; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:27-35

TraCE: Trajectory Counterfactual Explanation Scores

Jeffrey Nicholas Clark, Edward Alexander Small, Nawid Keshtmand, Michelle Wing Lam Wan, Elena Fillola Mayoral, Enrico Werner, Christopher Bourdeaux, Raul Santos-Rodriguez; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:36-45

Scheduling conditional task graphs with deep reinforcement learning

Anton Debner, Maximilian Krahn, Vesa Hirvisalo; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:46-52

Understanding Neural ODE prediction decision using SHAP

Phuong Dinh, Deddy Jobson, Takashi Sano, Hirotada Honda, Shugo Nakamura; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:53-58

Comparative Analysis of Binary and Multiclass Activity Recognition in High-Quality Newborn Resuscitation Videos

Jorge García-Torres, Øyvind Meinich-Bache, Siren Irene Rettedal, Amalie Kibsgaard, Sara Brunner, Kjersti Engan; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:59-66

Beyond Accuracy: Fairness, Scalability, and Uncertainty Considerations in Facial Emotion Recognition

Laurits Fromberg, Troels Nielsen, Flavia Dalia Frumosu, Line H Clemmensen; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:67-74

Is diverse and inclusive AI trapped in the gap between reality and algorithmizability?

Carina Geldhauser, Hermann Diebel-Fischer; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:75-80

Effects of Foreground Augmentations in Synthetic Training Data on the Use of UAVs for Weed Detection

Simon Hallösta, Mats Ingemar Pettersson, Mattias Dahl; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:81-88

Guiding drones by information gain

Alouette van Hove, Kristoffer Aalstad, Norbert Pirk; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:89-96

Beyond output-mask comparison: A self-supervised inspired object scoring system for building change detection

Are C Jensen; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:97-103

Neural machine translation for automated feedback on children’s early-stage writing

Jonas Vestergaard Jensen, Mikkel Jordahn, Michael Riis Andersen; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:104-112

SafetyCage: A misclassification detector for feed-forward neural networks

Pål Vegard Johnsen, Filippo Remonato; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:113-119

Typicality-based point OOD detection with contrastive learning

Nawid Keshtmand, Raul Santos-Rodriguez, Jonathan Lawry; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:120-129

Neural Langevin Dynamics: Towards Interpretable Neural Stochastic Differential Equations

Simon Martinus Koop, Mark A Peletier, Jacobus Willem Portegies, Vlado Menkovski; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:130-137

Heterogeneous Learning for Brain Lesion Segmentation, Detection, and Classification

Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour Ghazi; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:138-144

Instruction-guided deidentification with synthetic test cases for Norwegian clinical text

Jørgen Aarmo Lund, Karl Øyvind Mikalsen, Joel Burman, Ashenafi Zebene Woldaregay, Robert Jenssen; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:145-152

Loop closure with a low power millimeter wave radar sensor using an autoencoder

Pieter Meiresone, David Van Hamme, Wilfried Philips; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:153-157

Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI

Jon Middleton, Marko Bauer, Kaining Sheng, Jacob Johansen, Mathias Perslev, Silvia Ingala, Mads Nielsen, Akshay Pai; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:158-164

Large Neural Networks at a Fraction

Aritra Mukhopadhyay, Adhilsha A, Subhankar Mishra; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:165-173

MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical Guarantees, a Proof of Concept

Asbjørn Munk, Mads Nielsen; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:174-180

Hubness Reduction Improves Sentence-BERT Semantic Spaces

Beatrix Miranda Ginn Nielsen, Lars Kai Hansen; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:181-204

Clifford Group Equivariant Neural Network Layers for Protein Structure Prediction

Alberto Pepe, Sven Buchholz, Joan Lasenby; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:205-211

Deep Perceptual Similarity is Adaptable to Ambiguous Contexts

Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:212-219

A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models

Sanaullah Sanaullah; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:220-227

Lidar-based Norwegian tree species detection using deep learning

Martijn Vermeer, Jacob Alexander Hay, David Völgyes, Zsofia Koma, Johannes Breidenbach, Daniele Fantin; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:228-234

An Inductive Bias for Emergent Communication in a Continuous Setting

John Isak Fjellvang Villanger, Troels Arnfred Bojesen; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:235-243

Efficient Node Selection in Private Personalized Decentralized Learning

Edvin Listo Zec, Johan Östman, Olof Mogren, Daniel Gillblad; Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}), PMLR 233:244-250

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