3 papers
cs.LG2025
Evaluation of Multi- and Single-objective Learning Algorithms for Imbalanced Data
Szymon Wojciechowski, Michał Woźniak
Many machine learning tasks aim to find models that work well not for a single, but for a group of criteria, often opposing ones. One such example is imbalanced data classification…
cs.LG2025
How to Protect Models against Adversarial Unlearning?
Patryk Jasiorski, Marek Klonowski, Michał Woźniak
AI models need to be unlearned to fulfill the requirements of legal acts such as the AI Act or GDPR, and also because of the need to remove toxic content, debiasing, the impact of…
cs.LG2025
What is the role of memorization in Continual Learning?
Jędrzej Kozal, Jan Wasilewski, Alif Ashrafee +2
Memorization impacts the performance of deep learning algorithms. Prior works have studied memorization primarily in the context of generalization and privacy. This work studies th…