Neural Architecture Search with Reinforcement Learning
Citations
95 citations
95 citations
Cites background or methods from "Neural Architecture Search with Rei..."
...Based on a variety of techniques, including evolutionary algorithms (Stanley & Miikkulainen, 2002; Real et al., 2017), reinforcement learning (Zoph & Le, 2017), sequential optimisation (Liu et al., 2017) and boosting (Cortes et al., 2017), these methods find extremely high-performance yet complex…...
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...However, their architectures typically need to be designed by hand and fixed per task or dataset, requiring domain expertise (Zoph & Le, 2017)....
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...…of NNs (Fahlman & Lebiere, 1990; Hinton et al., 2006; Xiao et al., 2014; Chen et al., 2016; Srivastava et al., 2015; Lee et al., 2017; Cai et al., 2018; İrsoy & Alpaydın, 2018), or more broadly, the field of neural architecture search (Zoph & Le, 2017; Brock et al., 2017; Cortes et al., 2017)....
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...However, their architectures typically need to be designed by hand and fixed per task or dataset, requiring domain expertise [4]....
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95 citations
94 citations
Cites background from "Neural Architecture Search with Rei..."
...Among these machine learning techniques, RNNs as dynamic models, have achieved state-of-the-art performance in many technical applications [36]–[40], due to their capability in learning sequence modeling tasks....
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94 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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