Hannah Clarke

SPARCL: Spectral Partitioned Analytic Continual Learning

SPARCL is proposed, a spectral partitioned analytic continual learner that decomposes the running autocorrelation into a high-energy core and a residual complement, freezes old-class classifier components in the core subspace, and updates only the residual block through recursive least squares with an optional residual...