Neural Architecture Search with Reinforcement Learning
Citations
119 citations
Cites background or methods from "Neural Architecture Search with Rei..."
...Seminal work by [6] proposed “Neural Architecture Search (NAS)” using REINFORCE algorithm [20] to learn a network architecture called “controller” RNN that generates a sequence of actions representing the architecture of a CNN....
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...Recently, automating neural architecture search (NAS) has drawn lots of attention from both industry and academia [5, 6]....
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119 citations
118 citations
Cites methods from "Neural Architecture Search with Rei..."
...Google Cloud AutoML and Auto-keras conduct neural network search [19], [20], for both image and text data....
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118 citations
117 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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