SOTAVerified

Synthetic Data Generation

The generation of tabular data by any means possible.

Papers

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Showing 501–525 of 822 papers

TitleStatusHype
A robust synthetic data generation framework for machine learning in High-Resolution Transmission Electron Microscopy (HRTEM)—0
LEyes: A Lightweight Framework for Deep Learning-Based Eye Tracking using Synthetic Eye ImagesCode1
A supervised generative optimization approach for tabular data—0
Distributional Data Augmentation Methods for Low Resource LanguageCode0
AnthroNet: Conditional Generation of Humans via AnthropometricsCode1
FinDiff: Diffusion Models for Financial Tabular Data GenerationCode1
SMOClust: Synthetic Minority Oversampling based on Stream Clustering for Evolving Data StreamsCode0
Generating tabular datasets under differential privacyCode1
Steering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for Coherent and Diverse Synthetic Data Generation—0
Method for Generating Synthetic Data Combining Chest Radiography Images with Tabular Clinical Information Using Dual Generative Models—0
The Devil in the Details: Simple and Effective Optical Flow Synthetic Data Generation—0
Balanced Face Dataset: Guiding StyleGAN to Generate Labeled Synthetic Face Image Dataset for Underrepresented GroupCode0
Improving Generalization of Synthetically Trained Sonar Image Descriptors for Underwater Place RecognitionCode0
Enhancing Object Detection in Ancient Documents with Synthetic Data Generation and Transformer-Based Models—0
Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis—0
Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series ForecastingCode2
POV-Surgery: A Dataset for Egocentric Hand and Tool Pose Estimation During Surgical ActivitiesCode1
SynTable: A Synthetic Data Generation Pipeline for Unseen Object Amodal Instance Segmentation of Cluttered Tabletop ScenesCode1
Improving 2D Human Pose Estimation in Rare Camera Views with Synthetic DataCode2
Smart Infrastructure: A Research Junction—0
InPars Toolkit: A Unified and Reproducible Synthetic Data Generation Pipeline for Neural Information RetrievalCode2
CuTS: Customizable Tabular Synthetic Data GenerationCode0
Approximate, Adapt, Anonymize (3A): a Framework for Privacy Preserving Training Data Release for Machine Learning—0
FFPDG: Fast, Fair and Private Data Generation—0
SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph GenerationCode0
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All datasetsUCI Epileptic Seizure RecognitionUNSW-NB15

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1corGANAUROC0.92—Unverified
2GANAUROC0.87—Unverified
#ModelMetricClaimedVerifiedStatus
1kiNETGANEMD0.07—Unverified
2CTGANEMD0.07—Unverified