Multi-task gradient descent for multi-task learning

Multi-task gradient descent for multi-task learning

Multi-Task Learning (MTL) aims to simultaneously solve a group of related learning tasks by leveraging the salutary knowledge memes contained in the multiple tasks to improve the generalization performance. Many prevalent approaches focus on designing a sophisticated cost function, which integrates...

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Bibliographic Details
Main Authors: Bai, Lu, Ong, Yew-Soon, He, Tiantian, Gupta, Abhishek
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2021
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Knowledge Transfer
Cost Functions
Online Access:https://hdl.handle.net/10356/147806

Internet

https://hdl.handle.net/10356/147806

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