Neural Architecture Search with Reinforcement Learning
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84 citations
Cites background or methods from "Neural Architecture Search with Rei..."
...Thus neural architecture search (NAS) that automates the design of network architectures and minimizes human labor has drawn much attention and made impressive progress, especially in image classification tasks [57, 29, 45, 31, 43, 46, 48, 55, 17]....
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...forcement learning based methods [1, 3, 57, 58, 29] train a RNN controller to generate cell structure and form the network accordingly....
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84 citations
84 citations
83 citations
83 citations
References
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"Neural Architecture Search with Rei..." refers methods in this paper
...Along with this success is a paradigm shift from feature designing to architecture designing, i.e., from SIFT (Lowe, 1999), and HOG (Dalal & Triggs, 2005), to AlexNet (Krizhevsky et al., 2012), VGGNet (Simonyan & Zisserman, 2014), GoogleNet (Szegedy et al., 2015), and ResNet (He et al., 2016a)....
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42,067 citations
31,952 citations
"Neural Architecture Search with Rei..." refers methods in this paper
...Along with this success is a paradigm shift from feature designing to architecture designing, i.e., from SIFT (Lowe, 1999), and HOG (Dalal & Triggs, 2005), to AlexNet (Krizhevsky et al., 2012), VGGNet (Simonyan & Zisserman, 2014), GoogleNet (Szegedy et al., 2015), and ResNet (He et al., 2016a)....
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