Neural Architecture Search with Reinforcement Learning
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Cites background or methods from "Neural Architecture Search with Rei..."
...There has been a growing interest in designing compact architectures, for example through architecture search [53, 30, 35, 54, 52, 23], network compression [14, 5, 33] and manual architecture design [15, 48, 37]....
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...Fast Neural Networks Architecture search [53, 30, 35, 54, 52, 23], network compression [14, 5, 33] and novel manual design [15, 48, 37] are popular methods in designing fast neural network architectures....
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1 citations
Cites background or methods or result from "Neural Architecture Search with Rei..."
...However, Zoph and Le [25] claimed that their study is more general and more flexible than any previous study on NAS....
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...They focus on a recurrent neural network to generate the model descriptions while training it using recurrent neural networks (RNN) as a controller to decide if a child network is an optimal one or not [25]....
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...An example of a NAS study is from Zaph and Le [25]....
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1 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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