NLDL

Keyphrases

Publications

2024

Asbjørn Munk, Mads Nielsen
MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical Guarantees, a Proof of Concept. NLDL (2024)
Sanaullah Sanaullah
A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models. NLDL (2024)
Alberto Pepe, Sven Buchholz, Joan Lasenby
Clifford Group Equivariant Neural Network Layers for Protein Structure Prediction. NLDL (2024)
Aritra Mukhopadhyay, Adhilsha A, Subhankar Mishra
Large Neural Networks at a Fraction. NLDL (2024)
Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki
Deep Perceptual Similarity is Adaptable to Ambiguous Contexts. NLDL (2024)
Nawid Keshtmand, Raúl Santos-Rodríguez, Jonathan Lawry
Typicality-based point OOD detection with contrastive learning. NLDL (2024)
Alouette van Hove, Kristoffer Aalstad, Norbert Pirk
Guiding drones by information gain. NLDL (2024)
Tessa Bauman, Sven Goluza, Bruno Gasperov, Zvonko Kostanjcar
Deep Reinforcement Learning for Goal-Based Investing Under Regime-Switching. NLDL (2024)
Jeffrey Nicholas Clark, Edward Alexander Small, Nawid Keshtmand, Michelle Wing Lam Wan, Elena Fillola Mayoral, Enrico Werner, Christopher P. Bourdeaux, Raúl Santos-Rodríguez
TraCE: Trajectory Counterfactual Explanation Scores. NLDL (2024)
Pål Vegard Johnsen, Filippo Remonato
SafetyCage: A misclassification detector for feed-forward neural networks. NLDL (2024)
Laurits Fromberg, Troels Nielsen, Flavia Dalia Frumosu, Line H. Clemmensen
Beyond Accuracy: Fairness, Scalability, and Uncertainty Considerations in Facial Emotion Recognition. NLDL (2024)
Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi
Heterogeneous Learning for Brain Lesion Segmentation, Detection, and Classification. NLDL (2024)
Pieter Meiresone, David Van Hamme, Wilfried Philips
Loop closure with a low power millimeter wave radar sensor using an autoencoder. NLDL (2024)
Simon Hallösta, Mats Ingemar Pettersson, Mattias Dahl
Effects of Foreground Augmentations in Synthetic Training Data on the Use of UAVs for Weed Detection. NLDL (2024)
Beatrix Miranda Ginn Nielsen, Lars Kai Hansen
Hubness Reduction Improves Sentence-BERT Semantic Spaces. NLDL (2024)
Lydia Bryan-Smith, Nina Dethlefs
Towards AI for approximating hydrodynamic simulations as a 2D segmentation task. NLDL (2024)
Jørgen Aarmo Lund, Karl Øyvind Mikalsen, Per Joel Burman, Ashenafi Zebene Woldaregay, Robert Jenssen
Instruction-guided deidentification with synthetic test cases for Norwegian clinical text. NLDL (2024)
Edvin Listo Zec, Johan Östman, Olof Mogren, Daniel Gillblad
Efficient Node Selection in Private Personalized Decentralized Learning. NLDL (2024)
Carina Geldhauser, Hermann Diebel-Fischer
Is diverse and inclusive AI trapped in the gap between reality and algorithmizability? NLDL (2024)
Martijn Vermeer, Jacob Alexander Hay, David Völgyes, Zsófia Koma, Johannes Breidenbach, Daniele Fantin
Lidar-based Norwegian tree species detection using deep learning. NLDL (2024)
Jon Middleton, Marko Bauer, Kaining Sheng, Jacob Johansen, Mathias Perslev, Silvia Ingala, Mads Nielsen, Akshay Pai
Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI. NLDL (2024)
Simon Martinus Koop, Mark A. Peletier, Jacobus Willem Portegies, Vlado Menkovski
Neural Langevin Dynamics: Towards Interpretable Neural Stochastic Differential Equations. NLDL (2024)
Jonas Vestergaard Jensen, Mikkel Jordahn, Michael Riis Andersen
Neural machine translation for automated feedback on children's early-stage writing. NLDL (2024)
Pierre Baldi
Deep Learning Over-Parameterization: the Shallow Fallacy. NLDL (2024)
Are C. Jensen
Beyond output-mask comparison: A self-supervised inspired object scoring system for building change detection. NLDL (2024)
Jorge García-Torres, Øyvind Meinich-Bache, Siren Irene Rettedal, Amalie Kibsgaard, Sara Brunner, Kjersti Engan
Comparative Analysis of Binary and Multiclass Activity Recognition in High-Quality Newborn Resuscitation Videos. NLDL (2024)
Phuong Dinh, Deddy Jobson, Takashi Sano, Hirotada Honda, Shugo Nakamura
Understanding Neural ODE prediction decision using SHAP. NLDL (2024)
Antonios Alexos, Pierre Baldi
FastStitch: Speech editing by hitch-hiking a pre-trained FastSpeech2 model. NLDL (2024)
John Isak Fjellvang Villanger, Troels Arnfred Bojesen
An Inductive Bias for Emergent Communication in a Continuous Setting. NLDL (2024)
Anton Debner, Maximilian Krahn, Vesa Hirvisalo
Scheduling conditional task graphs with deep reinforcement learning. NLDL (2024)
Marie Bø-Sande, Edvin Benjaminsen, Neel Kanwal, Saul Fuster, Helga Hardardottir, Ingrid Lundal, Emilius A. M. Janssen, Kjersti Engan
A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and Prognostics. NLDL (2024)

volume 233, 2024

Northern Lights Deep Learning Conference, NLDL 2024, 9-11 January 2024, UiT The Arctic University, Tromsø, Norway. NLDL 233 (2024)

2023