SOTAVerified

Synthetic Data Generation

The generation of tabular data by any means possible.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 551–575 of 822 papers

TitleStatusHype
DOCTOR: A Multi-Disease Detection Continual Learning Framework Based on Wearable Medical Sensors—0
Leveraging Generative AI Models for Synthetic Data Generation in Healthcare: Balancing Research and PrivacyCode1
Learning from synthetic data generated with GRADECode1
Turning Flowchart into Dialog: Augmenting Flowchart-grounded Troubleshooting Dialogs via Synthetic Data GenerationCode0
Detect, Distill and Update: Detect, Distill and Update: Learned DB Systems Facing Out of Distribution DataCode0
Beyond Classification: Financial Reasoning in State-of-the-Art Language ModelsCode0
Synthetic Data-based Detection of Zebras in Drone ImageryCode1
PAXQA: Generating Cross-lingual Question Answering Examples at Training ScaleCode0
Towards Realistic Generative 3D Face ModelsCode2
SocialDial: A Benchmark for Socially-Aware Dialogue SystemsCode1
Child Face Recognition at Scale: Synthetic Data Generation and Performance BenchmarkCode0
Differentially Private Synthetic Data Generation via Lipschitz-Regularised Variational Autoencoders—0
Synthetically Generating Human-like Data for Sequential Decision Making Tasks via Reward-Shaped Imitation Learning—0
Modernizing Old Photos Using Multiple References via Photorealistic Style Transfer—0
Leveraging GANs for data scarcity of COVID-19: Beyond the hype—0
Coincidental Generation—0
AraSpot: Arabic Spoken Command SpottingCode0
Natural Language-Based Synthetic Data Generation for Cluster AnalysisCode1
Unsupervised Domain Transfer with Conditional Invertible Neural Networks—0
Diffusion-HPC: Synthetic Data Generation for Human Mesh Recovery in Challenging DomainsCode1
Does Synthetic Data Generation of LLMs Help Clinical Text Mining?—0
Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information ExtractionCode1
EEG Synthetic Data Generation Using Probabilistic Diffusion ModelsCode1
Quantifying the LiDAR Sim-to-Real Domain Shift: A Detailed Investigation Using Object Detectors and Analyzing Point Clouds at Target-LevelCode0
Synthesizing Mixed-type Electronic Health Records using Diffusion Models—0
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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