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Jun, 2023
持续学习的可学习性和算法
Learnability and Algorithm for Continual Learning
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Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu
TL;DR
本文研究了挑战性的连续学习（CL）设置下的类增量学习（CIL），证明了CIL是可学的，并基于理论提出了一种新的CIL算法，并通过实验结果证明了其有效性。
Abstract
This paper studies the challenging
continual learning
(CL) setting of
class incremental learning
(CIL). CIL learns a sequence of tasks consisting of disjoint sets of concepts or classes. At any time, a single mod
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