Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/TVAE

TVAE

Reported on 25 benchmarks across 2 tasks · 2 papers · 17 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Miscellaneous24 results

Tabular Data GenerationonSICK
DT Accuracy· 2019-07-01
95.39
best: 97.72 (GReaT)
SOTA
Modeling Tabular data using Conditional GAN arXiv:1907.00503
Tabular Data GenerationonSICK
LR Accuracy· 2019-07-01
94.7
best: 97.72 (GReaT)
SOTA
Modeling Tabular data using Conditional GAN arXiv:1907.00503
Tabular Data GenerationonSICK
RF Accuracy· 2019-07-01
94.91
best: 98.3 (GReaT)
SOTA
Modeling Tabular data using Conditional GAN arXiv:1907.00503
Tabular Data GenerationonHELOC
DT Accuracy· 2019-07-01
76.39
best: 81.4 (Distill-GReaT)
SOTA
Modeling Tabular data using Conditional GAN arXiv:1907.00503
Tabular Data GenerationonHELOC
LR Accuracy· 2019-07-01
71.04
best: 71.9 (GReaT)
SOTA
Modeling Tabular data using Conditional GAN arXiv:1907.00503
Tabular Data GenerationonHELOC
Parameters(M)· 2019-07-01
62
best: 355 (GReaT)
SOTA
Modeling Tabular data using Conditional GAN arXiv:1907.00503
Tabular Data GenerationonHELOC
RF Accuracy· 2019-07-01
77.24
best: 82.14 (Distill-GReaT)
SOTA
Modeling Tabular data using Conditional GAN arXiv:1907.00503
Tabular Data GenerationonCalifornia Housing Prices
DT Mean Squared Error· 2019-07-01
0.45
best: 0.39 (GReaT)
SOTA
Modeling Tabular data using Conditional GAN arXiv:1907.00503
Tabular Data GenerationonCalifornia Housing Prices
LR Mean Squared Error· 2019-07-01
0.65
best: 0.34 (GReaT)
SOTA
Modeling Tabular data using Conditional GAN arXiv:1907.00503
Tabular Data GenerationonCalifornia Housing Prices
RF Mean Squared Error· 2019-07-01
0.35
best: 0.28 (GReaT)
SOTA
Modeling Tabular data using Conditional GAN arXiv:1907.00503
Tabular Data GenerationonTravel
DT Accuracy· 2019-07-01
81.68
best: 88.9 (Binary Diffusion)
SOTA
Modeling Tabular data using Conditional GAN arXiv:1907.00503
Tabular Data GenerationonTravel
LR Accuracy· 2019-07-01
79.58
best: 83.79 (Binary Diffusion)
SOTA
Modeling Tabular data using Conditional GAN arXiv:1907.00503
Tabular Data GenerationonTravel
RF Accuracy· 2019-07-01
81.68
best: 89.95 (Binary Diffusion)
SOTA
Modeling Tabular data using Conditional GAN arXiv:1907.00503
Tabular Data GenerationonDiabetes
DT Accuracy· 2019-07-01
0.533
best: 0.5713 (Binary Diffusion)
SOTA
Modeling Tabular data using Conditional GAN arXiv:1907.00503
Tabular Data GenerationonDiabetes
LR Accuracy· 2019-07-01
0.5634
best: 0.5775 (Binary Diffusion)
SOTA
Modeling Tabular data using Conditional GAN arXiv:1907.00503
Tabular Data GenerationonDiabetes
RF Accuracy· 2019-07-01
0.5517
best: 0.5834 (GReaT)
SOTA
Modeling Tabular data using Conditional GAN arXiv:1907.00503
Tabular Data GenerationonAdult Census Income
DT Accuracy· 2019-07-01
82.8
best: 85.27 (Binary Diffusion)
SOTA
Modeling Tabular data using Conditional GAN arXiv:1907.00503
Tabular Data GenerationonSICK
Parameters(M)· 2019-07-01
0.046
best: 355 (GReaT)
Modeling Tabular data using Conditional GAN arXiv:1907.00503
Tabular Data GenerationonCalifornia Housing Prices
Parameters(M)· 2019-07-01
0.045
best: 355 (GReaT)
Modeling Tabular data using Conditional GAN arXiv:1907.00503
Tabular Data GenerationonTravel
Parameters(M)· 2019-07-01
0.036
best: 355 (GReaT)
Modeling Tabular data using Conditional GAN arXiv:1907.00503
Tabular Data GenerationonDiabetes
Parameters(M)· 2019-07-01
0.359
best: 355 (GReaT)
Modeling Tabular data using Conditional GAN arXiv:1907.00503
Tabular Data GenerationonAdult Census Income
LR Accuracy· 2019-07-01
80.53
best: 85.45 (Binary Diffusion)
Modeling Tabular data using Conditional GAN arXiv:1907.00503
Tabular Data GenerationonAdult Census Income
Parameters(M)· 2019-07-01
0.053
best: 355 (GReaT)
Modeling Tabular data using Conditional GAN arXiv:1907.00503
Tabular Data GenerationonAdult Census Income
RF Accuracy· 2019-07-01
83.48
best: 85.74 (Binary Diffusion)
Modeling Tabular data using Conditional GAN arXiv:1907.00503

Medical1 result

Synthetic Data GenerationonTitanic
AUC· 2024-10-28
0.7874
best: 0.8163 (zGAN)
zGAN: An Outlier-focused Generative Adversarial Network For Realistic Synthetic Data Generation arXiv:2410.20808