Tabular Synthetic Data Generation on Default
13.46C2STTabGRAA + Logs. + Grad. diff
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| TabGRAA + Logs. + Grad. diffMethod Category=GRAA variants (Ours)2026.04 | 13.46 | 94.57 | 30.91 | 95.05 | 46.47 | 76.08 | 78.22 | |
| TabGRAA (base)Method Category=GRAA variants (Ours)2026.04 | 13.36 | 94.64 | 30.62 | 94.75 | 45.45 | 78.23 | 77.52 | |
| TabDPO + Gradient diff.Method Category=DPO variants2026.04 | 13.31 | 94.77 | 29.77 | 96.46 | 45.71 | 76.54 | 78.14 | |
| TabDPO (base)Method Category=DPO variants2026.04 | 13.04 | 94.95 | 30.53 | 94.72 | 45.51 | 77.51 | 77.67 | |
| TabDPO + KL penaltyMethod Category=DPO variants2026.04 | 13.04 | 94.39 | 30.11 | 94.47 | 45.08 | 78.06 | 77.81 | |
| TabGRAA + LogsigmoidMethod Category=GRAA variants (Ours)2026.04 | 12.91 | 94 | 30.7 | 96.25 | 45.15 | 79.42 | 77.74 | |
| TabNPO + Gradient diff.Method Category=NPO variants2026.04 | 11.86 | 82.36 | 30.22 | 87.95 | 42.62 | 83.49 | 77.56 | |
| TabNPO + KL penaltyMethod Category=NPO variants2026.04 | 11.69 | 82.01 | 30.07 | 87.23 | 42.14 | 83.93 | 77.32 | |
| TabKTO + Logs. + Grad. diffMethod Category=KTO variants2026.04 | 11.68 | 81.09 | 30.18 | 87.29 | 42.51 | 83.92 | 78.4 | |
| TabNPO (base)Method Category=NPO variants2026.04 | 11.66 | 81.41 | 30.75 | 87.49 | 42.93 | 83.51 | 77.81 | |
| TabKTO + LogsigmoidMethod Category=KTO variants2026.04 | 11.63 | 81.12 | 30.42 | 87.06 | 42.61 | 84.11 | 77.75 | |
| TabKTO (base)Method Category=KTO variants2026.04 | 11.62 | 81.3 | 30.18 | 87.44 | 42.91 | 84.1 | 77.27 | |
| GReaT-FT+Method Category=Baselines2026.04 | 11.6 | 80.13 | 30.75 | 86.86 | 41.69 | 86.69 | 76.19 | |
| GReaT (Original)Method Category=Baselines2026.04 | 11.31 | 80.17 | 30.8 | 86.32 | 41.73 | 86.34 | 76.03 | |
| TABSYNC2ST Classifier=Logistic Regression, Note=Our reproduction2026.05 | 0.9804 | — | — | — | — | — | — | |
| TABSYNReproduction Status=Our reproduction2026.05 | 0.9804 | — | — | — | — | — | — | |
| COPULADIFFC2ST Classifier=Logistic Regression2026.05 | 0.9798 | — | — | — | — | — | — | |
| COPULADIFF2026.05 | 0.9798 | — | — | — | — | — | — | |
| TabDDPMC2ST Classifier=Logistic Regression2026.05 | 0.9712 | — | — | — | — | — | — | |
| TabDDPM2026.05 | 0.9712 | — | — | — | — | — | — | |
| TABKDEC2ST Classifier=Logistic Regression, Data Split=Zhang et al. (2024)2026.05 | 0.9579 | — | — | — | — | — | — | |
| TABKDE2026.05 | 0.9579 | — | — | — | — | — | — | |
| RANDCORETABKDEC2ST Classifier=Logistic Regression, Data Split=Zhang et al. (2024)2026.05 | 0.957 | — | — | — | — | — | — | |
| RANDCORETABKDE2026.05 | 0.957 | — | — | — | — | — | — | |
| SMOTEC2ST Classifier=Logistic Regression, Note=Our reproduction2026.05 | 0.9332 | — | — | — | — | — | — | |
| SMOTEReproduction Status=Our reproduction2026.05 | 0.9332 | — | — | — | — | — | — | |
| TABKDESeed=keep the seed2026.05 | 0.926 | — | — | — | — | — | — | |
| PGE-TABSYN2026.05 | 0.9039 | — | — | — | — | — | — | |
| CORETABKDEC2ST Classifier=Logistic Regression, Data Split=Zhang et al. (2024)2026.05 | 0.873 | — | — | — | — | — | — | |
| CORETABKDE2026.05 | 0.873 | — | — | — | — | — | — | |
| SIMPLE-KDE2026.05 | 0.8716 | — | — | — | — | — | — | |
| TABKDESeed=change the seed2026.05 | 0.8612 | — | — | — | — | — | — | |
| STaSy2026.05 | 0.6814 | — | — | — | — | — | — | |
| TVAE2026.05 | 0.6547 | — | — | — | — | — | — | |
| GOGGLE2026.05 | 0.5163 | — | — | — | — | — | — | |
| CTGAN2026.05 | 0.4875 | — | — | — | — | — | — | |
| VAETABKDEC2ST Classifier=Logistic Regression2026.05 | 0.4828 | — | — | — | — | — | — | |
| VAETABKDE2026.05 | 0.4828 | — | — | — | — | — | — | |
| GReaTC2ST Classifier=Logistic Regression2026.05 | 0.471 | — | — | — | — | — | — | |
| GReaT2026.05 | 0.471 | — | — | — | — | — | — | |
| CoDiC2ST Classifier=Logistic Regression2026.05 | 0.4595 | — | — | — | — | — | — | |
| CoDi2026.05 | 0.4595 | — | — | — | — | — | — | |
| VAESIMPLEKDE2026.05 | 0.4082 | — | — | — | — | — | — |