Methods › Computer Vision › Convolutional Neural Networks › RandWire
RandWire
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
RandWire is a type of convolutional neural network that arise from randomly wired neural networks that are sampled from stochastic network generators, in which a human-designed random process defines generation.
Papers archive 2025-07-28
2 shown of 2, 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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GraphPNAS: Learning Distribution of Good Neural Architectures via Deep Graph Generative Models 28 Nov 2022 · 0 repositories · arXiv:2211.15155
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Exploring Randomly Wired Neural Networks for Image Recognition 2 Apr 2019 · 9 repositories · arXiv:1904.01569Syntology ran 0 of 31 samples · 31 unverified
Tasks archive 2025-07-28
2 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 |
|---|---|
| Neural Architecture Search | 2 |
| Image Classification | 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