17 citations · 18 across the 3 of their papers we have counts for
3 papers
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.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…
cs.LG2021★ 1 cited
An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning
Changnan Xiao, Haosen Shi, Jiajun Fan +1
Policy-based reinforcement learning methods suffer from the policy collapse problem. We find valued-based reinforcement learning methods with ε-greedy mechanism are capable of enjo…