| Paper | Code | DT Accuracy | LR Accuracy | Parameters(M) | RF Accuracy | ModelName | ReleaseDate |
|---|---|---|---|---|---|---|---|
| Language Models are Realistic Tabular Data Generators | ✓ Link | 81.4 | 70.58 | 82 | 82.14 | Distill-GReaT | 2022-10-12 |
| Language Models are Realistic Tabular Data Generators | ✓ Link | 79.1 | 71.9 | 355 | 80.93 | GReaT | 2022-10-12 |
| Modeling Tabular data using Conditional GAN | ✓ Link | 76.39 | 71.04 | 62 | 77.24 | TVAE | 2019-07-01 |
| Tabular Data Generation using Binary Diffusion | ✓ Link | 70.25 | 71.76 | 2.6 | 70.47 | Binary Diffusion | 2024-09-20 |
| Modeling Tabular data using Conditional GAN | ✓ Link | 61.34 | 57.72 | 0.277 | 62.35 | CTGAN | 2019-07-01 |
| Modeling Tabular data using Conditional GAN | ✓ Link | 42.36 | 42.03 | 0.276 | 42.35 | CopulaGAN | 2019-07-01 |