2 papers
cs.LG2026
Bayesian Fine-tuning in Projected Subspaces
Viktar Dubovik, Patryk MarszaÅek, Jacek Tabor +1
Low-Rank Adaptation (LoRA) enables parameter-efficient fine-tuning of large models by decomposing weight updates into low-rank matrices, significantly reducing storage and computat…
cs.CV2025
SIDE: Sparse Information Disentanglement for Explainable Artificial Intelligence
Viktar Dubovik, Åukasz Struski, Jacek Tabor +1
Understanding the decisions made by deep neural networks is essential in high-stakes domains such as medical imaging and autonomous driving. Yet, these models often lack transparen…