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Tabular Data Generation

Generation of the tabular data using generative models

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 41–50 of 73 papers

Title	Date	Tasks	Status	Hype	Score
FLAIM: AIM-based Synthetic Data Generation in the Federated Setting	Oct 5, 2023	Synthetic Data GenerationTabular Data Generation	CodeCode Available	0	5
Artificial Inductive Bias for Synthetic Tabular Data Generation in Data-Scarce Scenarios	Jul 3, 2024	Generative Adversarial NetworkInductive Bias	CodeCode Available	0	5
Generating Tabular Data Using Heterogeneous Sequential Feature Forest Flow Matching	Oct 20, 2024	Tabular Data Generation	CodeCode Available	0	5
Generative adversarial networks vs large language models: a comparative study on synthetic tabular data generation	Feb 20, 2025	Generative Adversarial NetworkLanguage Modeling	CodeCode Available	0	5
Graph Conditional Flow Matching for Relational Data Generation	May 21, 2025	Graph Neural NetworkTabular Data Generation	CodeCode Available	0	5
A Note on Statistically Accurate Tabular Data Generation Using Large Language Models	May 5, 2025	Tabular Data Generation	CodeCode Available	0	5
LLM-TabFlow: Synthetic Tabular Data Generation with Inter-column Logical Relationship Preservation	Mar 4, 2025	Large Language ModelTabular Data Generation	CodeCode Available	0	5
PiShield: A PyTorch Package for Learning with Requirements	Feb 28, 2024	Autonomous DrivingDeep Learning	—Unverified	0	0
A self-attention-based differentially private tabular GAN with high data utility	Dec 20, 2023	Generative Adversarial NetworkImage Generation	—Unverified	0	0
Assessing Generative Models for Structured Data	Mar 26, 2025	Synthetic Data GenerationTabular Data Generation	—Unverified	0	0

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All datasets Adult Census Income California Housing Prices Diabetes HELOC SICK Travel

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Binary Diffusion	DT Accuracy	85.27	—	Unverified
2	GReaT	DT Accuracy	84.81	—	Unverified
3	Distill-GReaT	DT Accuracy	84.49	—	Unverified
4	TVAE	DT Accuracy	82.8	—	Unverified
5	CTGAN	DT Accuracy	81.32	—	Unverified
6	CopulaGAN	DT Accuracy	76.29	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GReaT	Parameters(M)	355	—	Unverified
2	Distill-GReaT	Parameters(M)	82	—	Unverified
3	Binary Diffusion	Parameters(M)	1.5	—	Unverified
4	CopulaGAN	Parameters(M)	0.2	—	Unverified
5	CTGAN	Parameters(M)	0.2	—	Unverified
6	TVAE	Parameters(M)	0.05	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Binary Diffusion	DT Accuracy	0.57	—	Unverified
2	GReaT	DT Accuracy	0.55	—	Unverified
3	Distill-GReaT	DT Accuracy	0.54	—	Unverified
4	TVAE	DT Accuracy	0.53	—	Unverified
5	CTGAN	DT Accuracy	0.5	—	Unverified
6	CopulaGAN	DT Accuracy	0.39	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Distill-GReaT	DT Accuracy	81.4	—	Unverified
2	GReaT	DT Accuracy	79.1	—	Unverified
3	TVAE	DT Accuracy	76.39	—	Unverified
4	Binary Diffusion	DT Accuracy	70.25	—	Unverified
5	CTGAN	DT Accuracy	61.34	—	Unverified
6	CopulaGAN	DT Accuracy	42.36	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GReaT	DT Accuracy	97.72	—	Unverified
2	Binary Diffusion	DT Accuracy	97.07	—	Unverified
3	Distill-GReaT	DT Accuracy	95.39	—	Unverified
4	TVAE	DT Accuracy	95.39	—	Unverified
5	CopulaGAN	DT Accuracy	93.77	—	Unverified
6	CTGAN	DT Accuracy	92.05	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Binary Diffusion	DT Accuracy	88.9	—	Unverified
2	GReaT	DT Accuracy	83.56	—	Unverified
3	TVAE	DT Accuracy	81.68	—	Unverified
4	Distill-GReaT	DT Accuracy	77.38	—	Unverified
5	CopulaGAN	DT Accuracy	73.61	—	Unverified
6	CTGAN	DT Accuracy	73.3	—	Unverified