Neural Architecture Search with Reinforcement Learning
Citations
56 citations
56 citations
Cites background from "Neural Architecture Search with Rei..."
...Although there has been recent work on the automatic selection of these parameters [38, 15], in this work we pick them heuristically....
[...]
55 citations
54 citations
Cites background from "Neural Architecture Search with Rei..."
...Efforts on learning the connectivity patterns at micro (Ahmed & Torresani, 2018; Wortsman et al., 2019; Yang et al., 2018), or macro (Zoph & Le, 2017; Zoph et al., 2018) level mostly focus on improving learning/search algorithms (Liu et al., 2018; Pham et al., 2018; Real et al., 2019; Liu et al.,…...
[...]
53 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)....
[...]