Efficient Neural Architecture Search: A Broad Version

18 Jan 2020Zixiang DingYaran ChenNannan LiDongbin ZhaoC. L. Philip Chen

Efficient Neural Architecture Search (ENAS) achieves novel efficiency for learning architecture with high-performance via parameter sharing, but suffers from an issue of slow propagation speed of search model with deep topology. In this paper, we propose a Broad version for ENAS (BENAS) to solve the above issue, by learning broad architecture whose propagation speed is fast with reinforcement learning and parameter sharing used in ENAS, thereby achieving a higher search efficiency... (read more)

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