Improvable Gap Balancing for Multi-Task Learning
Published in 39th Conference on Uncertainty in Artificial Intelligence (UAI 2023), 2023
We propose two novel improvable gap balancing algorithms for multi-task learning, instead of the classic loss balancing strategy: one takes a simple heuristic, and the other (for the first time) deploys deep reinforcement learning for MTL.
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