2 papers
cs.LG2026
Holistic Continual Learning under Concept Drift with Adaptive Memory Realignment
Alif Ashrafee, Jedrzej Kozal, Michal Wozniak +1
Traditional continual learning methods prioritize knowledge retention and focus primarily on mitigating catastrophic forgetting, implicitly assuming that the data distribution of p…
cs.LG2024
Continual Learning with Weight Interpolation
JÄdrzej Kozal, Jan Wasilewski, Bartosz Krawczyk +1
Continual learning poses a fundamental challenge for modern machine learning systems, requiring models to adapt to new tasks while retaining knowledge from previous ones. Addressin…