most citedClass-Incremental Lifelong Learning in Multi-Label Classification

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cs.LG2023

Centroid Distance Distillation for Effective Rehearsal in Continual Learning

Daofeng Liu, Fan Lyu, Linyan Li +2

Rehearsal, retraining on a stored small data subset of old tasks, has been proven effective in solving catastrophic forgetting in continual learning. However, due to the sampled da…

cs.LG2022★ 2 cited

Class-Incremental Lifelong Learning in Multi-Label Classification

Kaile Du, Linyan Li, Fan Lyu +3

Existing class-incremental lifelong learning studies only the data is with single-label, which limits its adaptation to multi-label data. This paper studies Lifelong Multi-Label (L…