Neural Architecture Search with Reinforcement Learning
Citations
112 citations
Cites background or methods from "Neural Architecture Search with Rei..."
...Unlike previous NAS works [26, 20, 13], our method does not involve any architecture-level transfer or proxy task....
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...Neural architecture search (NAS) has achieved great progress on image classification [26, 20] and semantic segmentation [12, 16]....
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...NAS [26] first propose to use reinforcement learning (RL) to determine neural architectures sequentially....
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109 citations
108 citations
Cites methods from "Neural Architecture Search with Rei..."
...Recently traditional RL algorithms are incorporated in deep learning frameworks and are successfully applied in various domains such as game agents [26, 30, 33, 34] and neural network architecture design [3, 45]....
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107 citations
107 citations
Cites background or methods from "Neural Architecture Search with Rei..."
...Most of NAS frameworks are built up based on one of the two basic algorithms: RL [12, 13, 15, 38, 39] and EA [14, 40–43]....
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...Taking the search of convolutional neural network (CNN) based architectures [12] as an example, the convolution operation is specified only by the kernel size....
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...We have the following update rule [12]:...
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References
123,388 citations
111,197 citations
55,235 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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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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