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Neural architecture search can discover neural networks with good performance, and One-Shot approaches are prevalent. One-Shot approaches typically require a supernet with weight sharing and predictors that predict the performance of architecture. Ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09e14a231e72ca64ec7b760be7d49f7d
http://arxiv.org/abs/2108.08189
http://arxiv.org/abs/2108.08189
Autor:
Han Cai, Wei-Xiang Guo, Yuwei Chen, Rick Lee, Guiguang Ding, Yubei Chen, Yuan-Yao Sung, YoungMin Kwon, Shengwen Liang, Seonghwan Jeong, Zhenyu Wu, Kai-Chiang Wu, Zerun Wang, Song Han, Xiangru Lian, Tianzhe Wang, Ming-Ching Chang, Xiao Hu, Jiayi Shen, Jianchao Tan, Zhangyang Wang, Pengcheng Pi, Zhenyu Hu, Ligeng Zhu, Zhekai Zhang, Gang Zhang, Yu-Shin Han, Ji Liu, Rahul Sridhar, Teng Xi, Yunhe Xue, Jeffery Pan, Chia-Hsiang Liu, Yi Lee
Publikováno v:
AICAS
AI computer vision has advanced significantly in recent years. IoT and edge computing devices such as mobile phones have become the primary computing platform for many end users. Mobile devices such as robots and drones that rely on batteries demand