SOTAVerified

Synthetic Data Generation

The generation of tabular data by any means possible.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 651–675 of 822 papers

TitleStatusHype
3D Segmentation of Humans in Point Clouds with Synthetic Data—0
Differentially-Private Data Synthetisation for Efficient Re-Identification Risk ControlCode0
Generating Realistic Synthetic Relational Data through Graph Variational Autoencoders—0
Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generationCode0
BJTU-WeChat's Systems for the WMT22 Chat Translation Task—0
Combining Data Generation and Active Learning for Low-Resource Question AnsweringCode0
Chart-RCNN: Efficient Line Chart Data Extraction from Camera Images—0
Utility Assessment of Synthetic Data Generation MethodsCode0
Robustness Analysis of Deep Learning Models for Population Synthesis—0
DPD-fVAE: Synthetic Data Generation Using Federated Variational Autoencoders With Differentially-Private DecoderCode0
Scalable Modular Synthetic Data Generation for Advancing Aerial Autonomy—0
Conciseness: An Overlooked Language Task—0
Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems—0
Which is the best model for my data?—0
FairGen: Fair Synthetic Data Generation—0
Improving Adversarial Robustness by Contrastive Guided Diffusion Process—0
Secure Multiparty Computation for Synthetic Data Generation from Distributed Data—0
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution DataCode0
COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos—0
Generating Synthetic Data with Locally Estimated Distributions for Disclosure ControlCode0
StyleTime: Style Transfer for Synthetic Time Series Generation—0
Judge a Sentence by Its Content to Generate Grammatical Errors—0
Exploring the Limits of Synthetic Creation of Solar EUV Images via Image-to-Image TranslationCode0
Analyzing Data-Centric Properties for Graph Contrastive LearningCode0
Improved α-GAN architecture for generating 3D connected volumes with an application to radiosurgery treatment planning—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