Multi-task gradient descent for multi-task learning

• Main Authors: Bai, Lu, Ong, Yew-Soon, He, Tiantian, Gupta, Abhishek
• Other Authors: School of Computer Science and Engineering
• Format: 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
• Institution: Nanyang Technological University

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...