SOTAVerified

Synthetic Data Generation

The generation of tabular data by any means possible.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 676–700 of 822 papers

TitleStatusHype
CrossLoc: Scalable Aerial Localization Assisted by Multimodal Synthetic DataCode1
Correlation inference attacks against machine learning modelsCode0
Automatic generation of realistic training data for learning parallel-jaw grasping from synthetic stereo images—0
Generative Adversarial Networks for Synthetic Data Generation: A Comparative Study—0
Generalizing electrocardiogram delineation -- Training convolutional neural networks with synthetic data augmentationCode1
Demystifying Graph Neural Network Explanations—0
Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information Retrieval—0
TimeVAE: A Variational Auto-Encoder for Multivariate Time Series GenerationCode1
Synthetic sampling from small datasets: A modified mega-trend diffusion approach using k-nearest neighborsCode0
HydraGAN A Multi-head, Multi-objective Approach to Synthetic Data Generation—0
Synthetic Data Generation and Multi-Task Learning for Extracting Temporal Information from Health-Related Narrative Text—0
Building Adaptive Acceptability Classifiers for Neural NLG—0
Multi-stage Training with Improved Negative Contrast for Neural Passage Retrieval—0
Semi-supervised dry herbage mass estimation using automatic data and synthetic images—0
Learning Compact Metrics for MTCode1
Interrogating Paradigms in Self-supervised Graph Representation Learning—0
CAGE: Probing Causal Relationships in Deep Generative Models—0
Synthetic Data Generation for Fraud Detection using GANs—0
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data—0
Generation of Synthetic Electronic Health Records Using a Federated GAN—0
Black-Box Attacks on Sequential Recommenders via Data-Free Model ExtractionCode1
CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training—0
Generative Wind Power Curve Modeling Via Machine Vision: A Self-learning Deep Convolutional Network Based MethodCode1
ZPY: Open Source Synthetic Data for Computer VisionCode1
WeChat Neural Machine Translation Systems for WMT21—0
Show:102550
← PrevPage 28 of 33Next →
All datasetsUCI Epileptic Seizure RecognitionUNSW-NB15

Benchmark Results

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