Neural Architecture Search with Reinforcement Learning
Citations
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Cites background from "Neural Architecture Search with Rei..."
...Recently, researchers proposed reinforcement learning (RL) based approaches for neural architecture searching [16,17,12]....
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...Different approaches [16,8,9,17,12,7] have been introduced in computer vision to search for the best neural network architecture for image analysis and scene understanding tasks....
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10 citations
10 citations
Cites methods from "Neural Architecture Search with Rei..."
...There are variety of NAS approaches employing reinforcement learning, evolutionary search, and Bayesian optimization [79, 8, 77]....
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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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