A Foliated View of Transfer Learning

2 Aug 2020  ·  Janith Petangoda, Nick A. M. Monk, Marc Peter Deisenroth ·

Transfer learning considers a learning process where a new task is solved by transferring relevant knowledge from known solutions to related tasks. While this has been studied experimentally, there lacks a foundational description of the transfer learning problem that exposes what related tasks are, and how they can be exploited. In this work, we present a definition for relatedness between tasks and identify foliations as a mathematical framework to represent such relationships.

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