SOTAVerified

Synthetic Data Generation

The generation of tabular data by any means possible.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 326–350 of 822 papers

TitleStatusHype
Effects of Using Synthetic Data on Deep Recommender Models' Performance—0
Effect of Kinematics and Fluency in Adversarial Synthetic Data Generation for ASL Recognition with RF Sensors—0
CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training—0
Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks—0
Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction—0
A Self-Supervised Framework for Space Object Behaviour Characterisation—0
Causal-TGAN: Generating Tabular Data Using Causal Generative Adversarial Networks—0
Case Study: Fine-tuning Small Language Models for Accurate and Private CWE Detection in Python Code—0
Artificial Intelligence for Personalized Prediction of Alzheimer's Disease Progression: A Survey of Methods, Data Challenges, and Future Directions—0
Can Synthetic Data be Fair and Private? A Comparative Study of Synthetic Data Generation and Fairness Algorithms—0
CALICO: Conversational Agent Localization via Synthetic Data Generation—0
DoPAMine: Domain-specific Pre-training Adaptation from seed-guided data Mining—0
Domain-Transferred Synthetic Data Generation for Improving Monocular Depth Estimation—0
Domain Generalization via Ensemble Stacking for Face Presentation Attack Detection—0
CAGE: Probing Causal Relationships in Deep Generative Models—0
Artificial Data Point Generation in Clustered Latent Space for Small Medical Datasets—0
A robust synthetic data generation framework for machine learning in High-Resolution Transmission Electron Microscopy (HRTEM)—0
Does Synthetic Data Make Large Language Models More Efficient?—0
Does Synthetic Data Generation of LLMs Help Clinical Text Mining?—0
Does Prompt Design Impact Quality of Data Imputation by LLMs?—0
Building Math Agents with Multi-Turn Iterative Preference Learning—0
Does Differentially Private Synthetic Data Lead to Synthetic Discoveries?—0
DOCTOR: A Multi-Disease Detection Continual Learning Framework Based on Wearable Medical Sensors—0
Building Adaptive Acceptability Classifiers for Neural NLG—0
DocIE@XLLM25: In-Context Learning for Information Extraction using Fully Synthetic Demonstrations—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