On the Geometry of Forgetting in Continual Self-Supervised Learning
This work investigates catastrophic forgetting in continual SSL from an explicitly geometric perspective, moving beyond downstream linear probe accuracy to characterize the evolution of the representation space directly and inform the development of novel methods that specifically preserve the embedding space geometry.
Arjan Chakravarthy
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