8 citations · 11 across the 10 of their papers we have counts for
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cs.SD2021
FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing Applications
Young D. Kwon, Jagmohan Chauhan, Cecilia Mascolo
Various incremental learning (IL) approaches have been proposed to help deep learning models learn new tasks/classes continuously without forgetting what was learned previously (i.…
cs.LG2021★ 3 cited
Knowing when we do not know: Bayesian continual learning for sensing-based analysis tasks
Sandra Servia-Rodriguez, Cecilia Mascolo, Young D. Kwon
Despite much research targeted at enabling conventional machine learning models to continually learn tasks and data distributions sequentially without forgetting the knowledge acqu…