Equitable Multi-task Learning
Published in arXiv (Cornell University) • Jun 15, 2023
NobleIDNI5P05W77R94S98
Authors:,
Jun Yuan
Rui Zhang
Abstract
Multi-task learning (MTL) has achieved great success in various research domains, such as CV, NLP and IR etc. Due to the complex and competing task correlation, naive training all tasks may lead to inequitable learning, i.e. some tasks are learned well while others are overlooked. Multi-task optimiz...
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