Neural Architecture Search with Reinforcement Learning
Citations
43 citations
43 citations
Cites methods from "Neural Architecture Search with Rei..."
...Further, we compare our visual activation with the activation Swish [36] searched by the NAS [52,53] technique....
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43 citations
43 citations
Cites background from "Neural Architecture Search with Rei..."
...Architectures found by NAS have achieved remarkable results in image classification [1, 2], object detection and segmentation [3, 4, 5], as well as other domains such as language tasks [6, 7]....
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...Other prior works including gradient-based [9, 10], reinforcement learning based [1, 11], evolution-based [2, 12], and MCTS-based [13, 14] approaches, all use manually designed action spaces....
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43 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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