Petangoda, JC;
Monk, NAM;
Deisenroth, MP;
(2020)
A Foliated View of Transfer Learning.
arXiv: Ithaca, NY, USA.
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Abstract
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.
| Type: | Working / discussion paper |
|---|---|
| Title: | A Foliated View of Transfer Learning. |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | http://arxiv.org/abs/2008.00546v1 |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10117311 |
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