SOTAVerified

Synthetic Data Generation

The generation of tabular data by any means possible.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 526–550 of 822 papers

TitleStatusHype
Approximate, Adapt, Anonymize (3A): a Framework for Privacy Preserving Training Data Release for Machine Learning—0
A Quantum Approach to Synthetic Minority Oversampling Technique (SMOTE)—0
A quantum generative model for multi-dimensional time series using Hamiltonian learning—0
Are Pose Estimators Ready for the Open World? STAGE: Synthetic Data Generation Toolkit for Auditing 3D Human Pose Estimators—0
A robust synthetic data generation framework for machine learning in High-Resolution Transmission Electron Microscopy (HRTEM)—0
Artificial Data Point Generation in Clustered Latent Space for Small Medical Datasets—0
Artificial Intelligence for Personalized Prediction of Alzheimer's Disease Progression: A Survey of Methods, Data Challenges, and Future Directions—0
A Self-Supervised Framework for Space Object Behaviour Characterisation—0
Assessing Generative Models for Structured Data—0
Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data—0
A supervised generative optimization approach for tabular data—0
A Systematic Examination of Preference Learning through the Lens of Instruction-Following—0
Attention-Based Synthetic Data Generation for Calibration-Enhanced Survival Analysis: A Case Study for Chronic Kidney Disease Using Electronic Health Records—0
Aug2Search: Enhancing Facebook Marketplace Search with LLM-Generated Synthetic Data Augmentation—0
AugGen: Synthetic Augmentation Can Improve Discriminative Models—0
A Unified Framework for Generative Data Augmentation: A Comprehensive Survey—0
A Unified Solution to Video Fusion: From Multi-Frame Learning to Benchmarking—0
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval Augmented Generation—0
Automated data processing and feature engineering for deep learning and big data applications: a survey—0
Automatic generation of realistic training data for learning parallel-jaw grasping from synthetic stereo images—0
Automatic Prompt Optimization Techniques: Exploring the Potential for Synthetic Data Generation—0
Autonomous Crack Detection using Deep Learning on Synthetic Thermogram Datasets—0
AutoSimulate: (Quickly) Learning Synthetic Data Generation—0
Balanced Marginal and Joint Distributional Learning via Mixture Cramer-Wold Distance—0
Balancing Cost and Effectiveness of Synthetic Data Generation Strategies for LLMs—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