| Paper | Code | DT Accuracy | LR Accuracy | Parameters(M) | RF Accuracy | ModelName | ReleaseDate |
|---|---|---|---|---|---|---|---|
| Language Models are Realistic Tabular Data Generators | ✓ Link | 97.72 | 97.72 | 355 | 98.3 | GReaT | 2022-10-12 |
| Tabular Data Generation using Binary Diffusion | ✓ Link | 97.07 | 96.14 | 1.4 | 96.59 | Binary Diffusion | 2024-09-20 |
| Language Models are Realistic Tabular Data Generators | ✓ Link | 95.39 | 96.56 | 82 | 97.72 | Distill-GReaT | 2022-10-12 |
| Modeling Tabular data using Conditional GAN | ✓ Link | 95.39 | 94.7 | 0.046 | 94.91 | TVAE | 2019-07-01 |
| Modeling Tabular data using Conditional GAN | ✓ Link | 93.77 | 94.57 | 0.226 | 94.57 | CopulaGAN | 2019-07-01 |
| Modeling Tabular data using Conditional GAN | ✓ Link | 92.05 | 94.44 | 0.222 | 94.57 | CTGAN | 2019-07-01 |