Leveraging convergence behavior to balance conflicting tasks in multi-task learning

Angelica Tiemi Mizuno Nakamura, Denis Fernando Wolf, Valdir Grassi

Multi-Task Learning is a learning paradigm that uses correlated tasks to improve performance generalization. A common way to learn multiple tasks is through the hard parameter shar…