Neural Architecture Search with Reinforcement Learning
Citations
13 citations
13 citations
Cites methods from "Neural Architecture Search with Rei..."
...[35] use Deep Reinforcement Learning (DRL) for NAS, which inspires a series of works for searching operators and connections of the architecture [21,26]....
[...]
13 citations
Cites background from "Neural Architecture Search with Rei..."
...Many problems can be cast as bilevel objectives in machine learning, including hyperparameter optimization, generative adversarial networks (GANs) [18, 24], meta-learning [15], and neural architecture search [63, 34, 6]....
[...]
13 citations
13 citations
References
123,388 citations
111,197 citations
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)....
[...]
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)....
[...]