Neural Architecture Search with Reinforcement Learning
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Cites background or methods from "Neural Architecture Search with Rei..."
...1 Neural Network Architecture Search NAS became a mainstream research topic since Zoph and Le (38) identified state-of-the-art recurrent cells on Penn Treebank and highly competitive architectures on CIFAR-10 using Reinforcement Learning (RL)....
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..., Neural Architecture Search (NAS) (38; 39; 24; 22) is a very successful technique to design customized neural network architectures for a given dataset....
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...3 Discussion The works that is most relevant to our study includes style transfer networks (18; 14; 19) and the neural architecture search (NAS) algorithms (38; 26; 15)....
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4 citations
4 citations
4 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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