Partial Order Pruning: For Best Speed/Accuracy Trade-Off in Neural Architecture Search

Achieving good speed and accuracy trade-off on a target platform is very important in deploying deep neural networks in real world scenarios. However, most existing automatic architecture search approaches only concentrate on high performance. In this work, we propose an algorithm that can offer bet...

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Bibliographic Details
Published inProceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 9137 - 9145
Main Authors Li, Xin, Zhou, Yiming, Pan, Zheng, Feng, Jiashi
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2019
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Online AccessGet full text
ISSN1063-6919
DOI10.1109/CVPR.2019.00936

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