Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search

4 Jan 2019Xiangxiang ChuBo ZhangRuijun XuHailong Ma

Fabricating neural models for a wide range of mobile devices demands for a specific design of networks due to highly constrained resources. Both evolution algorithms (EA) and reinforced learning methods (RL) have been dedicated to solve neural architecture search problems... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.