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Oct, 2020
低秩正交子空间下的持续学习
Continual Learning in Low-rank Orthogonal Subspaces
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Arslan Chaudhry, Naeemullah Khan, Puneet K. Dokania, Philip H. S. Torr
TL;DR
通过在不同的向量子空间中学习任务并在其中保持正交性来最小化干扰,提出了一种新的连续学习的方法,并证明了其对标准分类基准测试的优越性能。
Abstract
In
continual learning
(CL), a learner is faced with a sequence of tasks, arriving one after the other, and the goal is to remember all the tasks once the
continual learning
experience is finished. The prior art i
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