Function Contrastive Learning of Transferable Meta-Representations
Muhammad Waleed Gondal 1 Shruti Joshi 1 Nasim Rahaman 1 2 Stefan Bauer 1 3 Manuel Wuthrich 1
Bernhard Scholkopf 1
Abstract rely on the number of samples N being large. This poses
Meta-learning algorithms adapt quickly to new further challenges: in many domains of interest, sourcing
tasks that are drawn from the same task distribu- enough data is a chal ...


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