Tabular Data Generation on SICK

Metric: LR Accuracy (higher is better)

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#	Model↕	LR Accuracy▼	Extra Data	Paper	Date↕	Code
1	GReaT	97.72	No	Language Models are Realistic Tabular Data Gener...	2022-10-12	Code
2	Distill-GReaT	96.56	No	Language Models are Realistic Tabular Data Gener...	2022-10-12	Code
3	Binary Diffusion	96.14	No	Tabular Data Generation using Binary Diffusion	2024-09-20	Code
4	TVAE	94.7	No	Modeling Tabular data using Conditional GAN	2019-07-01	Code
5	CopulaGAN	94.57	No	Modeling Tabular data using Conditional GAN	2019-07-01	Code
6	CTGAN	94.44	No	Modeling Tabular data using Conditional GAN	2019-07-01	Code

#1GReaTSOTA
97.72
LR Accuracy· 2022-10-12
Language Models are Realistic Tabular Data Generators Code
#2Distill-GReaT
96.56
LR Accuracy· 2022-10-12
Language Models are Realistic Tabular Data Generators Code
#3Binary Diffusion
96.14
LR Accuracy· 2024-09-20
Tabular Data Generation using Binary Diffusion Code
#4TVAESOTA
94.7
LR Accuracy· 2019-07-01
Modeling Tabular data using Conditional GAN Code
#5CopulaGAN
94.57
LR Accuracy· 2019-07-01
Modeling Tabular data using Conditional GAN Code
#6CTGAN
94.44
LR Accuracy· 2019-07-01
Modeling Tabular data using Conditional GAN Code