Feature Partitioning for Efficient Multi-Task Architectures

ICLR 2020 Alejandro NewellLu JiangChong WangLi-Jia LiJia Deng

Multi-task learning holds the promise of less data, parameters, and time than training of separate models. We propose a method to automatically search over multi-task architectures while taking resource constraints into consideration... (read more)

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