SOTAVerified

Tabular Data Generation

Generation of the tabular data using generative models

Papers

Showing 5173 of 73 papers

TitleStatusHype
DP-2Stage: Adapting Language Models as Differentially Private Tabular Data GeneratorsCode0
Scaling While Privacy Preserving: A Comprehensive Synthetic Tabular Data Generation and Evaluation in Learning AnalyticsCode0
Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap ClassCode0
Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative StudyCode0
ConvGeN: Convex space learning improves deep-generative oversampling for tabular imbalanced classification on smaller datasetsCode0
CausalDiffTab: Mixed-Type Causal-Aware Diffusion for Tabular Data GenerationCode0
TabGen-ICL: Residual-Aware In-Context Example Selection for Tabular Data GenerationCode0
Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraintsCode0
TabRep: a Simple and Effective Continuous Representation for Training Tabular Diffusion ModelsCode0
TabSynDex: A Universal Metric for Robust Evaluation of Synthetic Tabular DataCode0
Graph Conditional Flow Matching for Relational Data GenerationCode0
Are LLMs Naturally Good at Synthetic Tabular Data Generation?Code0
Balanced Mixed-Type Tabular Data Synthesis with Diffusion ModelsCode0
Generative adversarial networks vs large language models: a comparative study on synthetic tabular data generationCode0
LLM-TabFlow: Synthetic Tabular Data Generation with Inter-column Logical Relationship PreservationCode0
Artificial Inductive Bias for Synthetic Tabular Data Generation in Data-Scarce ScenariosCode0
Generating Tabular Data Using Heterogeneous Sequential Feature Forest Flow MatchingCode0
MMM and MMMSynth: Clustering of heterogeneous tabular data, and synthetic data generationCode0
FLAIM: AIM-based Synthetic Data Generation in the Federated SettingCode0
Tabular Data Generation using Binary DiffusionCode0
Tabular data generation with tensor contraction layers and transformersCode0
Tabular GANs for uneven distributionCode0
Preserving logical and functional dependencies in synthetic tabular dataCode0
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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
#ModelMetricClaimedVerifiedStatus
1GReaTParameters(M)355Unverified
2Distill-GReaTParameters(M)82Unverified
3Binary DiffusionParameters(M)1.5Unverified
4CopulaGANParameters(M)0.2Unverified
5CTGANParameters(M)0.2Unverified
6TVAEParameters(M)0.05Unverified
#ModelMetricClaimedVerifiedStatus
1Binary DiffusionDT Accuracy0.57Unverified
2GReaTDT Accuracy0.55Unverified
3Distill-GReaTDT Accuracy0.54Unverified
4TVAEDT Accuracy0.53Unverified
5CTGANDT Accuracy0.5Unverified
6CopulaGANDT Accuracy0.39Unverified
#ModelMetricClaimedVerifiedStatus
1Distill-GReaTDT Accuracy81.4Unverified
2GReaTDT Accuracy79.1Unverified
3TVAEDT Accuracy76.39Unverified
4Binary DiffusionDT Accuracy70.25Unverified
5CTGANDT Accuracy61.34Unverified
6CopulaGANDT Accuracy42.36Unverified
#ModelMetricClaimedVerifiedStatus
1GReaTDT Accuracy97.72Unverified
2Binary DiffusionDT Accuracy97.07Unverified
3Distill-GReaTDT Accuracy95.39Unverified
4TVAEDT Accuracy95.39Unverified
5CopulaGANDT Accuracy93.77Unverified
6CTGANDT Accuracy92.05Unverified
#ModelMetricClaimedVerifiedStatus
1Binary DiffusionDT Accuracy88.9Unverified
2GReaTDT Accuracy83.56Unverified
3TVAEDT Accuracy81.68Unverified
4Distill-GReaTDT Accuracy77.38Unverified
5CopulaGANDT Accuracy73.61Unverified
6CTGANDT Accuracy73.3Unverified