Neural Architecture Search with Reinforcement Learning
Citations
43 citations
43 citations
Cites background from "Neural Architecture Search with Rei..."
...These approaches have achieved impressive results in a variety of applications, including the GO game [9, 29], real-time video games [23, 26], image classication [22], dialogue generation [17] and optimization [24, 42]....
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43 citations
43 citations
Cites methods from "Neural Architecture Search with Rei..."
...[19] used a Recurrent Neural Network to generate CNN model structure, and applied reinforcement learning to improve the generated architecture....
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43 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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