SOTAVerified

Synthetic Data Generation

The generation of tabular data by any means possible.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 426–450 of 822 papers

TitleStatusHype
Structured Evaluation of Synthetic Tabular Data—0
StyleTime: Style Transfer for Synthetic Time Series Generation—0
Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models—0
SynCGAN: Using learnable class specific priors to generate synthetic data for improving classifier performance on cytological images—0
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework—0
Synthesize-on-Graph: Knowledgeable Synthetic Data Generation for Continue Pre-training of Large Language Models—0
Synthesizing Mixed-type Electronic Health Records using Diffusion Models—0
Synthetica: Large Scale Synthetic Data for Robot Perception—0
Synthetically Generating Human-like Data for Sequential Decision Making Tasks via Reward-Shaped Imitation Learning—0
Synthetically Supervised Feature Learning for Scene Text Recognition—0
Synthetic Code Surgery: Repairing Bugs and Vulnerabilities with LLMs and Synthetic Data—0
Synthetic Data and Hierarchical Object Detection in Overhead Imagery—0
Synthetic data augmentation for robotic mobility aids to support blind and low vision people—0
Synthetic data enables faster annotation and robust segmentation for multi-object grasping in clutter—0
Synthetic Data for Blood Vessel Network Extraction—0
Synthetic Data for Discriminating Serotonergic Neurons using Convolutional Neural Networks—0
Synthetic Data for Model Selection—0
Synthetic Data Generation and Adaption for Object Detection in Smart Vending Machines—0
Synthetic Data Generation and Automated Multidimensional Data Labeling for AI/ML in General and Circular Coordinates—0
Synthetic Data Generation and Deep Learning for the Topological Analysis of 3D Data—0
Synthetic Data Generation and Joint Learning for Robust Code-Mixed Translation—0
Synthetic Data Generation and Joint Learning for Robust Code-Mixed Translation—0
Synthetic Data Generation and Multi-Task Learning for Extracting Temporal Information from Health-Related Narrative Text—0
Synthetic Data Generation for Augmenting Small Samples—0
Synthetic Data Generation for Bridging Sim2Real Gap in a Production Environment—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