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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Bibliographic Details
Main Authors: Mao, Fubing, Weng, Weiwei, Pratama, Mahardhika, Yee, Edward Yapp Kien
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/160691
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Institution: Nanyang Technological University
Language: English

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