Neural Architecture Search with Reinforcement Learning
Citations
3 citations
Cites background from "Neural Architecture Search with Rei..."
...Neural networks “learn learning” (Andrychowicz et al 2016) and design new networks (Zoph and Le 2016)....
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3 citations
Cites background or methods from "Neural Architecture Search with Rei..."
...0 Neural Architecture Search with base 8 + WT [23] 54M 62....
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...5 Neural Architecture Search with base 8 [23] 32M 67....
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...4 Neural Architecture Search with base 8 + WT [23] 25M 64....
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3 citations
3 citations
Cites methods from "Neural Architecture Search with Rei..."
...Our proposed use of the Gumbel-Max trick in GMEQL is closely related to several existing methods for neural architecture search (NAS) [Zoph and Le, 2016; Liu et al., 2018; Xie et al., 2018]....
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...Different from SNAS, we extend EQL with the Gumbel-Max trick to facilitate gradient-based learning of mathematical expressions....
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...Particularly, the stochastic NAS (SNAS) algorithm exploits this trick to optimize all connections within every cell of a large NN through gradient-descent search [Xie et al., 2018]....
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3 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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