Neural Architecture Search with Reinforcement Learning
Citations
5,782 citations
Cites background from "Neural Architecture Search with Rei..."
...NAS takes a novel approach to meta-learning architectures by using a recurrent network trained with Reinforcement Learning to design architectures that result in the best accuracy....
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...28 Concept behind Neural Architecture Search [33]...
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...This approach has become very popular since the publication of NAS [33] from Zoph and Le....
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...Since then, GANs were introduced in 2014 [31], Neural Style Transfer [32] in 2015, and Neural Architecture Search (NAS) [33] in 2017....
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...Applying metalearning concepts from NAS to Data Augmentation has become increasingly popular with works such as Neural Augmentation [36], Smart Augmentation [37], and AutoAugment [38] published in 2017, 2017, and 2018, respectively....
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3,393 citations
2,353 citations
1,897 citations
Cites methods from "Neural Architecture Search with Rei..."
...It is natural to consider automated design of detection backbone architectures, such as the recent Automated Machine Learning (AutoML) [219], which has been applied to image classification and object detection [22, 39, 80, 171, 331, 332]....
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1,707 citations
References
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"Neural Architecture Search with Rei..." refers methods or result in this paper
...The settings for training the CIFAR-10 child models are the same with those used in Huang et al. (2016a)....
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...More details about our experimental procedures and results are as follows....
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...The DenseNet model that achieves 3.46% error rate (Huang et al., 2016b) uses 1x1 convolutions to reduce its total number of parameters, which we did not do, so it is not an exact comparison....
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982 citations
821 citations
"Neural Architecture Search with Rei..." refers background in this paper
...Modern neuro-evolution algorithms, e.g., Wierstra et al. (2005); Floreano et al. (2008); Stanley et al. (2009), on the other hand, are much more flexible for composing novel models, yet they are usually less practical at a large scale....
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