Methods › Computer Vision › Convolutional Neural Networks › GreedyNAS-B
GreedyNAS-B
Introduced by Shan You et al. in GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
GreedyNAS-B is a convolutional neural network discovered using the GreedyNAS neural architecture search method. The basic building blocks used are inverted residual blocks (from MobileNetV2) and squeeze-and-excitation blocks.
Papers archive 2025-07-28
1 shown of 1, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet 25 Mar 2020 · 0 repositories · arXiv:2003.11236
Tasks archive 2025-07-28
3 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| All | 1 |
| Image Classification | 1 |
| Neural Architecture Search | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections