MetaFun: meta-learning with iterative functional updates

MetaFun: meta-learning with iterative functional updates

We develop a functional encoder-decoder approach to supervised meta-learning, where labeled data is encoded into an infinite-dimensional functional representation rather than a finite-dimensional one. Furthermore, rather than directly producing the representation, we learn a neural update rule resem...

書目詳細資料
Main Authors:	Xu, J, Ton, J-F, Kim, H, Kosiorek, AR, Teh, YW
格式:	Journal article
語言:	English
出版:	MLResearch Press 2020

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