Continual learning via inter-task synaptic mapping

Learning from streaming tasks leads a model to catastrophically erase unique experiences it absorbs from previous episodes. While regularization techniques such as LWF, SI, EWC have proven themselves as an effective avenue to overcome this issue by constraining important parameters of old tasks f...

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Main Authors: Mao, Fubing, Weng, Weiwei, Pratama, Mahardhika, Yee, Edward Yapp Kien
其他作者: School of Computer Science and Engineering
格式: Article
語言:English
出版: 2022
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在線閱讀:https://hdl.handle.net/10356/160691
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