SOTAVerified

Tabular Data Generation

Generation of the tabular data using generative models

Papers

Showing 110 of 73 papers

TitleStatusHype
CausalDiffTab: Mixed-Type Causal-Aware Diffusion for Tabular Data GenerationCode0
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data GenerationCode1
The Prompt is Mightier than the Example0
Graph Conditional Flow Matching for Relational Data GenerationCode0
A Note on Statistically Accurate Tabular Data Generation Using Large Language ModelsCode0
A Comprehensive Survey of Synthetic Tabular Data GenerationCode1
Diffusion Transformers for Tabular Data Time Series GenerationCode1
TabRep: a Simple and Effective Continuous Representation for Training Tabular Diffusion ModelsCode0
Assessing Generative Models for Structured Data0
GReaTER: Generate Realistic Tabular data after data Enhancement and Reduction0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Binary DiffusionDT Accuracy85.27Unverified
2GReaTDT Accuracy84.81Unverified
3Distill-GReaTDT Accuracy84.49Unverified
4TVAEDT Accuracy82.8Unverified
5CTGANDT Accuracy81.32Unverified
6CopulaGANDT Accuracy76.29Unverified