Multinomial Distribution Learning for Effective Neural Architecture Search

ICCV 2019 Xiawu ZhengRongrong JiLang TangBaochang ZhangJianzhuang LiuQi Tian

Architectures obtained by Neural Architecture Search (NAS) have achieved highly competitive performance in various computer vision tasks. However, the prohibitive computation demand of forward-backward propagation in deep neural networks and searching algorithms makes it difficult to apply NAS in practice... (read more)

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