| Paper | Code | DT Accuracy | Parameters(M) | LR Accuracy | RF Accuracy | ModelName | ReleaseDate |
|---|---|---|---|---|---|---|---|
| Tabular Data Generation using Binary Diffusion | ✓ Link | 0.5713 | 1.8 | 0.5775 | 0.5752 | Binary Diffusion | 2024-09-20 |
| Language Models are Realistic Tabular Data Generators | ✓ Link | 0.5523 | 355 | 0.5734 | 0.5834 | GReaT | 2022-10-12 |
| Language Models are Realistic Tabular Data Generators | ✓ Link | 0.541 | 82 | 0.5733 | 0.5803 | Distill-GReaT | 2022-10-12 |
| Modeling Tabular data using Conditional GAN | ✓ Link | 0.5330 | 0.359 | 0.5634 | 0.5517 | TVAE | 2019-07-01 |
| Modeling Tabular data using Conditional GAN | ✓ Link | 0.4973 | 9.6 | 0.5093 | 0.5223 | CTGAN | 2019-07-01 |
| Modeling Tabular data using Conditional GAN | ✓ Link | 0.385 | 9.4 | 0.4027 | 0.3759 | CopulaGAN | 2019-07-01 |