Methods › General › Tabular Data Generation › CTAB-GAN
CTAB-GAN
Introduced by Aditya Kunar in Effective and Privacy preserving Tabular Data Synthesizing
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
CTAB-GAN is a model for conditional tabular data generation. The generator and discriminator utilize the DCGAN architecture. An auxiliary classifier is also used with an MLP architecture.
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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Permutation-Invariant Tabular Data Synthesis 17 Nov 2022 · 0 repositories · arXiv:2211.09286
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Effective and Privacy preserving Tabular Data Synthesizing 11 Aug 2021 · 0 repositories · arXiv:2108.10064
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 |
|---|---|
| Attribute | 1 |
| Privacy Preserving | 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