Neural Architecture Search with Reinforcement Learning
Citations
12 citations
12 citations
12 citations
12 citations
Cites background or methods from "Neural Architecture Search with Rei..."
...NasRNN [19] is also an RNN discovered by neural architecture search and outperforms the widely-used LSTM....
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...For example, practitioners use DNNs to identify objects in videos or images [8, 14, 17], translate one language to another [6, 11, 19], and recommend commodities to customers [7, 16, 18]....
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12 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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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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