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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書目詳細資料
Main Authors:	Bai, Lu, Ong, Yew-Soon, He, Tiantian, Gupta, Abhishek
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2021
主題:	Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Knowledge Transfer Cost Functions
在線閱讀:	https://hdl.handle.net/10356/147806
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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