Neural Architecture Search with Reinforcement Learning
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9 citations
Cites background or methods from "Neural Architecture Search with Rei..."
...Among Reinforcement learning based methods, NAS using reinforcement learning [14] and NASNet [34] are popular methods....
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...In order to reduce the required computation, NASNet introduces a new search space which also allows transferability from one dataset to another....
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...BCSA can be used with other more sophisticated search spaces such as NASNet or DAG based search spaces....
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...They apply a modified evolutionary algorithm on NASNet [14] search space....
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...In [14], it is proposed to use a RNN as controller which can design a string to specify architectures, however, this requires extensive computational power....
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9 citations
9 citations
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9 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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