Neural Architecture Search with Reinforcement Learning
Citations
17 citations
17 citations
Cites background from "Neural Architecture Search with Rei..."
...For instance, DeepArchitect (Negrinho & Gordon, 2017) and NAS (Zoph & Le, 2017; Pham et al., 2018) use reinforcement learning to automate the process of designing deep neural network models and their associated parameters....
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17 citations
17 citations
Cites methods from "Neural Architecture Search with Rei..."
...The idea behind ET is using neural architecture search (NAS) [14] to look for the most promising setup among different alternatives of neural networks....
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17 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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