Neural Architecture Search with Reinforcement Learning
Citations
9 citations
Additional excerpts
...It includes network pruning [9, 7, 30], network quantization [20, 39, 3], low-rank approximation [29, 33], efficient architecture design [27, 34], neural architecture search [40, 6] and hardware accelerators [8, 23]....
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9 citations
9 citations
Cites background from "Neural Architecture Search with Rei..."
...context, an interesting reinforcement learning system is proposed in [31], which creates an optimal convolutional neural network architecture for image classification....
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...[30] and [31] were one of the first works to explore RL-based approaches for architecture search....
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9 citations
9 citations
References
123,388 citations
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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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