SOTAVerified

Synthetic Data Generation

The generation of tabular data by any means possible.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 576–600 of 822 papers

TitleStatusHype
Distributional Learning of Variational AutoEncoder: Application to Synthetic Data GenerationCode0
Machine Learning for Synthetic Data Generation: A Review—0
A Modified CTGAN-Plus-Features Based Method for Optimal Asset Allocation—0
REaLTabFormer: Generating Realistic Relational and Tabular Data using TransformersCode2
PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks—0
Talk the Walk: Synthetic Data Generation for Conversational Music Recommendation—0
Generating Multidimensional Clusters With Support LinesCode1
A Linear Reconstruction Approach for Attribute Inference Attacks against Synthetic DataCode0
Diffusion-based Conditional ECG Generation with Structured State Space ModelsCode1
Boosting Synthetic Data Generation with Effective Nonlinear Causal DiscoveryCode1
Simplex Autoencoders—0
CogReact: A Reinforced Framework to Model Human Cognitive Reaction Modulated by Dynamic Intervention—0
Synthetic data generation method for data-free knowledge distillation in regression neural networksCode0
Domain Generalization via Ensemble Stacking for Face Presentation Attack Detection—0
Data-Free Knowledge Distillation via Feature Exchange and Activation Region ConstraintCode1
Synthetic Data Generation for Visual Detection of Flattened PET BottlesCode0
Privacy-Preserving Domain Adaptation of Semantic Parsers—0
GenSyn: A Multi-stage Framework for Generating Synthetic Microdata using Macro Data SourcesCode0
FSID: Fully Synthetic Image Denoising via Procedural Scene GenerationCode4
Synthetic Traffic Generation with Wasserstein Generative Adversarial NetworksCode0
Brain Tumor Synthetic Data Generation with Adaptive StyleGANsCode0
Differentially-Private Data Synthetisation for Efficient Re-Identification Risk ControlCode0
3D Segmentation of Humans in Point Clouds with Synthetic Data—0
Generating Realistic Synthetic Relational Data through Graph Variational Autoencoders—0
Learning deep abdominal CT registration through adaptive loss weighting and 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