Sheng-Siang Yin

Efficient Multi-Task Auxiliary Learning: Selecting Auxiliary Data by Feature Similarity

Multi-task auxiliary learning utilizes a set of relevant auxiliary tasks to improve the performance of a primary task. A common usage is to manually select multiple auxiliary tasks for multi-task learning on all data, which raises two issues: (1) selecting beneficial auxiliary tasks for a primary ta…