17 citations · 35 across the 13 of their papers we have counts for
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cs.LG2022★ 17 cited
A Theoretical Study on Solving Continual Learning
Gyuhak Kim, Changnan Xiao, Tatsuya Konishi +2
Continual learning (CL) learns a sequence of tasks incrementally. There are two popular CL settings, class incremental learning (CIL) and task incremental learning (TIL). A major c…
cs.LG2022★ 2 cited
Generalized Data Distribution Iteration
Jiajun Fan, Changnan Xiao
To obtain higher sample efficiency and superior final performance simultaneously has been one of the major challenges for deep reinforcement learning (DRL). Previous work could han…
cs.CV2022
Continual Learning Based on OOD Detection and Task Masking
Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao +1
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…