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Editors: Tetiana Lutchyn, Adín Ramírez Rivera, Benjamin Ricaud
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FastStitch: Speech editing by hitch-hiking a pre-trained FastSpeech2 model
; 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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