Youngdoo Son*

Learning Representation for Multitask Learning through Self-Supervised Auxiliary Learning

"Multi-task learning is a popular machine learning approach that enables simultaneous learning of multiple related tasks, improving algorithmic efficiency and effectiveness. In the hard parameter sharing approach, an encoder shared through multiple tasks generates data representations passed to task…