Multi-task Learning Combined with RL-based Weight Search and MC Dropout

Multi-Task Learning (MTL) is a very encouraging research direction in machine learning, which has been applied in many fields successfully. However, designing a good MTL loss function and verifying the robustness of MTL model are two key challenges in this field. In this paper, we adopt RL-based weight search method to find a set of good weights in MTL loss function to help to improve the training...