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RENAS: Reinforced Evolutionary Neural Architecture Search
2019
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Neural Architecture Search (NAS) is an important yet challenging task in network design due to its high computational consumption. To address this issue, we propose the Reinforced Evolutionary Neural Architecture Search (RE-NAS), which is an evolutionary method with reinforced mutation for NAS. Our method integrates reinforced mutation into an evolution algorithm for neural architecture exploration, in which a mutation controller is introduced to learn the effects of slight modifications and
doi:10.1109/cvpr.2019.00492
dblp:conf/cvpr/ChenMZXHMW19
fatcat:3xkal6bp7vdzxcj4uj224q6vri