NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization

Author(s)
Yang, Tien-Ju; Liao, Yi-Lun; Sze, Vivienne
Thumbnail
DownloadSubmitted version (2.016Mb)
Open Access Policy
Terms of use
Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/
Metadata
Show full item record
Date issued
2021
URI
https://hdl.handle.net/1721.1/143902
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Research Laboratory of Electronics
Journal
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Yang, Tien-Ju, Liao, Yi-Lun and Sze, Vivienne. 2021. "NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization." 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Version: Original manuscript
Collections