NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization
Name
2104.00031.pdf
Description
Submitted version
Size
2.02 MB
Format
Adobe PDF
Checksum (MD5)
c84334499bd4ce1207d065872565f0ca
Author(s)
Yang, Tien-Ju
Liao, Yi-Lun
Sze, Vivienne
Date Issued
2021
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
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Research Laboratory of Electronics
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/CVPR46437.2021.00243
