Learning Sparse Sharing Architectures for Multiple Tasks

12 Nov 2019Tianxiang SunYunfan ShaoXiaonan LiPengfei LiuHang YanXipeng QiuXuanjing Huang

Most existing deep multi-task learning models are based on parameter sharing, such as hard sharing, hierarchical sharing, and soft sharing. How choosing a suitable sharing mechanism depends on the relations among the tasks, which is not easy since it is difficult to understand the underlying shared factors among these tasks... (read more)

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