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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
Differentially Private Tabular Data Synthesis using Large Language Models	Jun 3, 2024	FairnessTabular Data Generation	—Unverified	0
EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models	Apr 15, 2024	In-Context LearningSynthetic Data Generation	CodeCode Available	1
Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models	Apr 12, 2024	FairnessTabular Data Generation	CodeCode Available	0
PiShield: A PyTorch Package for Learning with Requirements	Feb 28, 2024	Autonomous DrivingDeep Learning	—Unverified	0
Scaling While Privacy Preserving: A Comprehensive Synthetic Tabular Data Generation and Evaluation in Learning Analytics	Jan 12, 2024	Privacy PreservingSynthetic Data Generation	CodeCode Available	0
FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation	Jan 11, 2024	AttributeDenoising	CodeCode Available	1
A self-attention-based differentially private tabular GAN with high data utility	Dec 20, 2023	Generative Adversarial NetworkImage Generation	—Unverified	0
Continuous Diffusion for Mixed-Type Tabular Data	Dec 16, 2023	Tabular Data Generation	CodeCode Available	1
MMM and MMMSynth: Clustering of heterogeneous tabular data, and synthetic data generation	Oct 30, 2023	ClusteringSynthetic Data Generation	CodeCode Available	0
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark	Oct 25, 2023	feature selectionModel Selection	CodeCode Available	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