AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning

NAACL 2019 Han GuoRamakanth PasunuruMohit Bansal

Multi-task learning (MTL) has achieved success over a wide range of problems, where the goal is to improve the performance of a primary task using a set of relevant auxiliary tasks. However, when the usefulness of the auxiliary tasks w.r.t... (read more)

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