Preprint
Sep 2026
Exemplar-Free Analytic Learning for Multi-Label Audio Class-Incremental Learning
This study investigates exemplar-free analytic continual learning as a principled alternative, in which a linear classifier is updated in closed form without storing historical recordings or performing incremental back-propagation, and previously learned weights remain intact by construction.
Si-Yuan Luo, Yang Xiao, Ting Dang
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