What is being transferred in transfer learning?
NIPS 2020, 2020.
We provide new tools and analyses to address these fundamental questions
One desired capability for machines is the ability to transfer their knowledge of one domain to another where data is (usually) scarce. Despite ample adaptation of transfer learning in various deep learning applications, we yet do not understand what enables a successful transfer and which part of the network is responsible for that. In...More
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