Methods › General › Domain Adaptation › SymmNet
Domain-Symmetric Network
SymmNet
Introduced by Yabin Zhang et al. in Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Domain-Symmetric Network, or SymmNet, is an algorithm for unsupervised multi-class domain adaptation. It features an adversarial strategy of domain confusion and discrimination.
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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Improved Benthic Classification using Resolution Scaling and SymmNet Unsupervised Domain Adaptation 20 Mar 2023 · 1 repository · arXiv:2303.10960
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Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice 20 Feb 2020 · 2 repositories · arXiv:2002.08681Syntology ran 2 of 7 samples · 5 unverified
Tasks archive 2025-07-28
5 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 |
|---|---|
| Domain Adaptation | 2 |
| Diversity | 1 |
| Multi-class Classification | 1 |
| Survey | 1 |
| Unsupervised Domain Adaptation | 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
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