论文标题
转移学习的叶子观点
A Foliated View of Transfer Learning
论文作者
论文摘要
转移学习认为通过将相关知识从已知解决方案转移到相关任务来解决新任务的学习过程。尽管已经通过实验进行了研究，但缺乏对转移学习问题的基本描述，该问题揭示了相关任务是什么，以及如何利用它们。在这项工作中，我们为任务之间的相关性提供了一个定义，并确定叶子作为代表这种关系的数学框架。
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.
