Neural Architecture Search with Reinforcement Learning
Citations
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Cites background or methods from "Neural Architecture Search with Rei..."
...Research on the NAS problem involves designing the search space [37,34] and the search algorithm [36,26]....
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...In early NAS attempts [36,27], the search phase and the evaluation phase typically operate on the same dataset and task....
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...Intuitively, using the target data and tasks during the search will result in the least domain gap, and this is indeed the strategy adopted in early NAS attempts [36,27]....
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61 citations
61 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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"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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