SOTAVerified

Synthetic Data Generation

The generation of tabular data by any means possible.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 476–500 of 822 papers

TitleStatusHype
Leveraging Open-Source Large Language Models for encoding Social Determinants of Health using an Intelligent Router—0
Differentially Private Synthetic Data Generation for Relational DatabasesCode0
Interpretable classification of wiki-review streams—0
Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark—0
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models—0
Conditioning on Time is All You Need for Synthetic Survival Data GenerationCode0
KiNETGAN: Enabling Distributed Network Intrusion Detection through Knowledge-Infused Synthetic Data Generation—0
Synthetic Data Generation for Intersectional Fairness by Leveraging Hierarchical Group Structure—0
Diverse and Effective Synthetic Data Generation for Adaptable Zero-Shot Dialogue State Tracking—0
Advancing fNIRS Neuroimaging through Synthetic Data Generation and Machine Learning Applications—0
Prompting-based Synthetic Data Generation for Few-Shot Question AnsweringCode0
Permissioned Blockchain-based Framework for Ranking Synthetic Data Generators—0
Inference With Combining Rules From Multiple Differentially Private Synthetic Datasets—0
Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes—0
Comparative study of models trained on synthetic data for Ukrainian grammatical error correctionCode0
Domain-Transferred Synthetic Data Generation for Improving Monocular Depth Estimation—0
Deep Metric Learning-Based Out-of-Distribution Detection with Synthetic Outlier Exposure—0
Privacy-Preserving Statistical Data Generation: Application to Sepsis Detection—0
Online Data Augmentation for Forecasting with Deep LearningCode0
UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and Temporal Cues—0
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks—0
A Multi-Faceted Evaluation Framework for Assessing Synthetic Data Generated by Large Language ModelsCode0
Aligning Actions and Walking to LLM-Generated Textual DescriptionsCode0
ViFu: Multiple 360^ Objects Reconstruction with Clean Background via Visible Part Fusion—0
SiloFuse: Cross-silo Synthetic Data Generation with Latent Tabular 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