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Editors: Tetiana Lutchyn, Adín Ramírez Rivera, Benjamin Ricaud
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Hallucination Detection in LLMs: Fast and Memory-Efficient Finetuned Models
; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:1-15
FreqRISE: Explaining time series using frequency masking
Thea Brüsch, Kristoffer Knutsen Wickstrøm, Mikkel N. Schmidt, Tommy Sonne Alstrøm, Robert Jenssen; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:16-31
Towards concurrent real-time audio-aware agents with deep reinforcement learning
Anton Debner, Vesa Hirvisalo; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:32-40
Connecting Concept Convexity and Human-Machine Alignment in Deep Neural Networks
Teresa Dorszewski, Lenka Tětková, Lorenz Linhardt, Lars Kai Hansen; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:41-50
BoRA: Bayesian Hierarchical Low-Rank Adaption for Multi-task Large Language Models
Simen Eide, Arnoldo Frigessi; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:51-57
Familiarity-Based Open-Set Recognition Under Adversarial Attacks
Philip Enevoldsen, Christian Gundersen, Nico Lang, Serge Belongie, Christian Igel; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:58-65
World Model Agents with Change-Based Intrinsic Motivation
Jeremias Lino Ferrao, Rafael F. Cunha; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:66-74
Graph Counterfactual Explainable AI via Latent Space Traversal
Andreas Abildtrup Hansen, Paraskevas Pegios, Anna Calissano, Aasa Feragen; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:75-84
Learning incomplete factorization preconditioners for GMRES
Paul Häusner, Aleix Nieto Juscafresa, Jens Sjölund; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:85-99
Enhancing Fault Detection in Optical Networks with Conditional Denoising Diffusion Probabilistic Models
Meadhbh Healy, Thomas Martini Jørgensen; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:100-109
One-Class SVM-guided Negative Sampling for Enhanced Contrastive Learning
Dhruv Jain, Tsiry Mayet, Romain HÉRAULT, Romain MODZELEWSKI; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:110-119
Deep Active Latent Surfaces for Medical Geometries
Patrick Møller Jensen, Udaranga Wickramasinghe, Anders Dahl, Pascal Fua, Vedrana Andersen Dahl; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:120-132
SPARDACUS SafetyCage: A new misclassification detector
Pål Vegard Johnsen, Filippo Remonato, Shawn Benedict, Albert Ndur-Osei; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:133-140
Interpretable Function Approximation with Gaussian Processes in Value-Based Model-Free Reinforcement Learning
Matthijs van der Lende, Matthia Sabatelli, Juan Cardenas-Cartagena; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:141-154
Deep Learning for Localization of White Matter Lesions in Neurological Diseases
Julia Machnio, Mads Nielsen, Mostafa Mehdipour Ghazi; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:155-167
Bounds on the Generalization Error in Active Learning
Vincent Menden, Yahya Saleh, Armin Iske; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:168-175
Deep Q-Learning with Whittle Index for Contextual Restless Bandits: Application to Email Recommender Systems
Ibtihal El Mimouni, Konstantin Avrachenkov; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:176-183
NEMt: Fast Targeted Explanations for Medical Image Models via Neural Explanation Masks
Bjørn Leth Møller, Sepideh Amiri, Christian Igel, Kristoffer Knutsen Wickstrøm, Robert Jenssen, Matthias Keicher, Mohammad Farid Azampour, Nassir Navab, Bulat Ibragimov; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:184-192
Transformers at a fraction
Aritra Mukhopadhyay, Rucha Bhalchandra Joshi, Nidhi Tiwari, Subhankar Mishra; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:193-203
Predicting Oligomeric states of Fluorescent Proteins using Mamba
Agney K Rajeev, Joel Joseph K B, Subhankar Mishra; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:204-212
Learning anomalies from graph: predicting compute node failures on HPC clusters
Joze M. Rozanec, Roy Krumpak, Martin Molan, Andrea Bartolini; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:213-219
PePR: Performance Per Resource Unit as a Metric to Promote Small-scale Deep Learning
Raghavendra Selvan, Bob Pepin, Christian Igel, Gabrielle Samuel, Erik B Dam; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:220-229
Zero-Shot Open-Vocabulary OOD Object Detection and Grounding using Vision Language Models
Poulami Sinhamahapatra, Shirsha Bose, Karsten Roscher, Stephan Günnemann; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:230-238
Locally orderless networks
Jon Sporring, Peidi Xu, Jiahao Lu, Francois Bernard Lauze, Sune Darkner; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:239-244
Investigating the Impact of Feature Reduction for Deep Learning-based Seasonal Sea Ice Forecasting
Lars Uebbing, Harald Lykke Joakimsen, Luigi Tommaso Luppino, Iver Martinsen, Andrew McDonald, Kristoffer Knutsen Wickstrøm, Sébastien Lefèvre, Arnt B. Salberg, Scott Hosking, Robert Jenssen; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:245-254
Exploring Segment Anything Foundation Models for Out of Domain Crevasse Drone Image Segmentation
Steven Wallace, Aiden Durrant, William David Harcourt, Richard Hann, Georgios Leontidis; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:255-268
Toward Learning Distributions of Distributions
Moritz Wohlstein, Ulf Brefeld; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:269-275
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