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Volume 265: Northern Lights Deep Learning Conference, 7-9 January 2025, UiT The Arctic University, Tromsø, Norway
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Editors: Tetiana Lutchyn, Adín Ramírez Rivera, Benjamin Ricaud
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
; 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
; 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
; 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
; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:51-57
Familiarity-Based Open-Set Recognition Under Adversarial Attacks
; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:58-65
World Model Agents with Change-Based Intrinsic Motivation
; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:66-74
Graph Counterfactual Explainable AI via Latent Space Traversal
; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:75-84
Learning incomplete factorization preconditioners for GMRES
; 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
; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:100-109
One-Class SVM-guided Negative Sampling for Enhanced Contrastive Learning
; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:110-119
Deep Active Latent Surfaces for Medical Geometries
; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:120-132
SPARDACUS SafetyCage: A new misclassification detector
; 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
; 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
; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:155-167
Bounds on the Generalization Error in Active Learning
; 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
; 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
; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:184-192
Transformers at a fraction
; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:193-203
Predicting Oligomeric states of Fluorescent Proteins using Mamba
; 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
; 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
; 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
; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:230-238
Locally orderless networks
; 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
; 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
; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:255-268
Toward Learning Distributions of Distributions
; Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL), PMLR 265:269-275
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