Neural Architecture Search with Reinforcement Learning
Citations
18 citations
Cites background or methods from "Neural Architecture Search with Rei..."
...Recent SR works aim to build more efficient models using NAS, which has been vastly successful in a wide range of tasks such as image classification [57, 55, 38], language modeling [56], and automatic speech recognition [12]....
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...In the proposed scheme, we extend the original REINFORCE-based NAS framework [56] in order to search for a GAN-based super-resolution model....
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18 citations
Cites background or methods from "Neural Architecture Search with Rei..."
...Both Google’s AutoML and Auto-Keras are based on the Neural Architecture Search (NAS) technique [10][11]4....
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...We observe that none of the proposed AutoML frameworks were tested in their respective descriptive papers on unbalanced data sets like ours ([10] is tested on an image recognition framework and experiment in [8] for Auto-Keras are based on MNIST, CIFAR and FASHION, 3 images recognition dataset)....
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18 citations
18 citations
18 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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