Multi-task gradient descent for multi-task learning

• المؤلفون الرئيسيون: Bai, Lu, Ong, Yew-Soon, He, Tiantian, Gupta, Abhishek
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Knowledge Transfer; Cost Functions
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/147806
• المؤسسة: 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...