SOTAVerified

Synthetic Data Generation

The generation of tabular data by any means possible.

Papers

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Showing 526–550 of 822 papers

TitleStatusHype
BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated MotionCode2
Synthetic Demographic Data Generation for Card Fraud Detection Using GANsCode0
On the Usefulness of Synthetic Tabular Data Generation—0
Data-Driven Approach for Formality-Sensitive Machine Translation: Language-Specific Handling and Synthetic Data Generation—0
Exploring the Effectiveness of Dataset Synthesis: An application of Apple Detection in Orchards—0
Differentially Private Synthetic Data Using KD-Trees—0
The Big Data Myth: Using Diffusion Models for Dataset Generation to Train Deep Detection Models—0
UniPoll: A Unified Social Media Poll Generation Framework via Multi-Objective OptimizationCode0
PyTrial: Machine Learning Software and Benchmark for Clinical Trial ApplicationsCode1
Brain Tumor Recurrence vs. Radiation Necrosis Classification and Patient Survivability Prediction—0
GANs and alternative methods of synthetic noise generation for domain adaption of defect classification of Non-destructive ultrasonic testing—0
Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty QuantificationCode0
GenerateCT: Text-Conditional Generation of 3D Chest CT VolumesCode1
Post-processing Private Synthetic Data for Improving Utility on Selected Measures—0
Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science—0
One-Shot Federated Learning for LEO Constellations that Reduces Convergence Time from Days to 90 Minutes—0
Exploring the Viability of Synthetic Query Generation for Relevance Prediction—0
TSGM: A Flexible Framework for Generative Modeling of Synthetic Time SeriesCode2
BELLA: Black box model Explanations by Local Linear Approximations—0
TrueTeacher: Learning Factual Consistency Evaluation with Large Language ModelsCode4
Utility Theory of Synthetic Data Generation—0
An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss FunctionsCode0
Synthetic data generation for a longitudinal cohort study -- Evaluation, method extension and reproduction of published data analysis resultsCode0
Analyzing Bias in Diffusion-based Face Generation Models—0
Post-training Model Quantization Using GANs 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