2 papers
cs.CV2024
Memory-efficient Continual Learning with Neural Collapse Contrastive
Trung-Anh Dang, Vincent Nguyen, Ngoc-Son Vu +1
Contrastive learning has significantly improved representation quality, enhancing knowledge transfer across tasks in continual learning (CL). However, catastrophic forgetting remai…
cs.AI2024
Towards Explainable Clustering: A Constrained Declarative based Approach
Mathieu Guilbert, Christel Vrain, Thi-Bich-Hanh Dao
The domain of explainable AI is of interest in all Machine Learning fields, and it is all the more important in clustering, an unsupervised task whose result must be validated by a…