BriefGPT.xyz
Mar, 2017
共享知识的自适应多任务学习
Self-Paced Multitask Learning with Shared Knowledge
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Keerthiram Murugesan, Jaime Carbonell
TL;DR
本文介绍了一种新颖的自适应任务选择方法，用于多任务学习中，对于越来越具有挑战性的任务，该方法通过选择相关性更大的任务来实现共享知识获取最佳性能，在多种多任务学习场景中实验结果显示，该方法在表现上都优于传统方法。
Abstract
This paper introduces
self-paced task selection
to
multitask learning
, where instances from more closely related tasks are selected in a progression of easier-to-harder tasks, to emulate an effective human educat
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