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
Boosting Data Analytics With Synthetic Volume ExpansionCode0
Improving text-conditioned latent diffusion for cancer pathologyCode0
Deep Empirical Risk Minimization in finance: looking into the futureCode0
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive BenchmarkCode0
GenSyn: A Multi-stage Framework for Generating Synthetic Microdata using Macro Data SourcesCode0
Relation Extraction in underexplored biomedical domains: A diversity-optimised sampling and synthetic data generation approachCode0
DFIMat: Decoupled Flexible Interactive Matting in Multi-Person ScenariosCode0
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution DataCode0
Synth It Like KITTI: Synthetic Data Generation for Object Detection in Driving ScenariosCode0
Synthline: A Product Line Approach for Synthetic Requirements Engineering Data Generation using Large Language ModelsCode0
Detect, Distill and Update: Detect, Distill and Update: Learned DB Systems Facing Out of Distribution DataCode0
IR2: Information Regularization for Information RetrievalCode0
CraftRTL: High-quality Synthetic Data Generation for Verilog Code Models with Correct-by-Construction Non-Textual Representations and Targeted Code RepairCode0
Synthetically Trained Icon Proposals for Parsing and Summarizing InfographicsCode0
Iterative Methods for Private Synthetic Data: Unifying Framework and New MethodsCode0
Differentially Private Synthetic Data Generation for Relational DatabasesCode0
Joint Selection: Adaptively Incorporating Public Information for Private Synthetic DataCode0
Balanced Face Dataset: Guiding StyleGAN to Generate Labeled Synthetic Face Image Dataset for Underrepresented GroupCode0
Debiasing Synthetic Data Generated by Deep Generative ModelsCode0
A text-to-tabular approach to generate synthetic patient data using LLMsCode0
Beyond Sample-Level Feedback: Using Reference-Level Feedback to Guide Data SynthesisCode0
A Multi-Faceted Evaluation Framework for Assessing Synthetic Data Generated by Large Language ModelsCode0
Flexible Generation of Preference Data for Recommendation AnalysisCode0
Advancing Post-OCR Correction: A Comparative Study of Synthetic DataCode0
Unconditional Latent Diffusion Models Memorize Patient Imaging Data: Implications for Openly Sharing Synthetic DataCode0
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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