Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks

17 Apr 2020Xin ChenLingxi XieJun WuLonghui WeiYuhui XuQi Tian

Neural architecture search has attracted wide attentions in both academia and industry. To accelerate it, researchers proposed weight-sharing methods which first train a super-network to reuse computation among different operators, from which exponentially many sub-networks can be sampled and efficiently evaluated... (read more)

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