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cs.LG2023
Chunking: Continual Learning is not just about Distribution Shift
Thomas L. Lee, Amos Storkey
Work on continual learning (CL) has thus far largely focused on the problems arising from shifts in the data distribution. However, CL can be decomposed into two sub-problems: (a)…
cs.LG2023
Approximate Bayesian Class-Conditional Models under Continuous Representation Shift
Thomas L. Lee, Amos Storkey
For models consisting of a classifier in some representation space, learning online from a non-stationary data stream often necessitates changes in the representation. So, the ques…