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cs.LG2026
Unlearning-based sliding window for continual learning under concept drift
Michal Wozniak, Marek Klonowski, Maciej Maczynski +1
Traditional machine learning assumes a stationary data distribution, yet many real-world applications operate on nonstationary streams in which the underlying concept evolves over…
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…
cs.LG2024
Balanced Gradient Sample Retrieval for Enhanced Knowledge Retention in Proxy-based Continual Learning
Hongye Xu, Jan Wasilewski, Bartosz Krawczyk
Continual learning in deep neural networks often suffers from catastrophic forgetting, where representations for previous tasks are overwritten during subsequent training. We propo…