Neural Architecture Search with Reinforcement Learning
Citations
31 citations
Cites background from "Neural Architecture Search with Rei..."
...Algorithms for identifying performant CNN architectures have received significant attention recently [66, 23, 20, 45, 31, 24, 44]....
[...]
...5 Network morphism Evaluating each configuration Ω from a random initialization is slow, as evidenced by early NAS works which required thousands of GPU days [66, 67]....
[...]
31 citations
31 citations
30 citations
30 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)....
[...]