Neural Architecture Search with Reinforcement Learning
Citations
42 citations
42 citations
Cites background from "Neural Architecture Search with Rei..."
...Yet, most existing NAS works are limited to task-specific models [87], [88], [89], [90], [91]....
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41 citations
Cites background from "Neural Architecture Search with Rei..."
...In cases where it is necessary or preferable to use a different architecture for a parity model, such as when the deployed model is not a neural network, a parity model could be designed via architecture search [97]....
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41 citations
41 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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