SOTAVerified

Synthetic Data Generation

The generation of tabular data by any means possible.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 701–725 of 822 papers

TitleStatusHype
Data-driven modeling of time-domain induced polarizationCode0
SuperCaustics: Real-time, open-source simulation of transparent objects for deep learning applicationsCode1
Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages—0
Synthetic Data Generation and Joint Learning for Robust Code-Mixed Translation—0
SimDem A Multi-agent Simulation Environment to Model Persons with Dementia and their Assistance—0
SinGAN-Seg: Synthetic training data generation for medical image segmentationCode1
Virtual Temporal Samples for Recurrent Neural Networks: applied to semantic segmentation in agriculture—0
Universum GANs: Improving GANs through contradictions—0
An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises—0
Object detection and Autoencoder-based 6D pose estimation for highly cluttered Bin Picking—0
Iterative Methods for Private Synthetic Data: Unifying Framework and New MethodsCode0
Tensor feature hallucination for few-shot learningCode0
Generative adversarial network with object detector discriminator for enhanced defect detection on ultrasonic B-scans—0
NViSII: A Scriptable Tool for Photorealistic Image GenerationCode1
Synthetic Data Generation for Grammatical Error Correction with Tagged Corruption ModelsCode1
Content Disentanglement for Semantically Consistent Synthetic-to-Real Domain AdaptationCode0
Towards Synthetic Multivariate Time Series Generation for Flare Forecasting—0
Adapting deep generative approaches for getting synthetic data with realistic marginal distributions—0
Transitioning from Real to Synthetic data: Quantifying the bias in model—0
Synthetic Data for Model Selection—0
Synthetic 3D Data Generation Pipeline for Geometric Deep Learning in ArchitectureCode1
UnrealROX+: An Improved Tool for Acquiring Synthetic Data from Virtual 3D EnvironmentsCode1
Causal-TGAN: Generating Tabular Data Using Causal Generative Adversarial Networks—0
Simple Imputation Rules for Prediction with Missing Data: Contrasting Theoretical Guarantees with Empirical Performance—0
Adaptation of Back-translation to Automatic Post-Editing for Synthetic Data 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