AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection
NeurIPSSpotlight2025
TL;DR
This paper studies the problem of class-incremental learning (CIL), a core setting within continual learning where a model learns a sequence of tasks, each containing a distinct set of classes…
Opening excerpt from the authors’ abstract. source
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Topics
continual learning contrastive
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