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Continual Learning Based on OOD Detection and Task Masking
[article]
2022
arXiv
pre-print
Existing continual learning techniques focus on either task incremental learning (TIL) or class incremental learning (CIL) problem, but not both. CIL and TIL differ mainly in that the task-id is provided for each test sample during testing for TIL, but not provided for CIL. Continual learning methods intended for one problem have limitations on the other problem. This paper proposes a novel unified approach based on out-of-distribution (OOD) detection and task masking, called CLOM, to solve
arXiv:2203.09450v1
fatcat:sjrfhcnx6jgh7kq33ufh47fhle