SOTAVerified

Synthetic Data Generation

The generation of tabular data by any means possible.

Papers

Showing 101125 of 822 papers

TitleStatusHype
Benchmarking Synthetic Tabular Data: A Multi-Dimensional Evaluation FrameworkCode2
TAMIS: Tailored Membership Inference Attacks on Synthetic Data0
GLiNER-BioMed: A Suite of Efficient Models for Open Biomedical Named Entity RecognitionCode1
Synthetic News Generation for Fake News Classification0
Beyond a Single Mode: GAN Ensembles for Diverse Medical Data GenerationCode0
XL-Instruct: Synthetic Data for Cross-Lingual Open-Ended Generation0
Small Object Detection: A Comprehensive Survey on Challenges, Techniques and Real-World Applications0
Assessing Generative Models for Structured Data0
Scaling Laws of Synthetic Data for Language Models0
Unraveling the Effects of Synthetic Data on End-to-End Autonomous DrivingCode1
Neuro-Symbolic Scene Graph Conditioning for Synthetic Image Dataset Generation0
MarkushGrapher: Joint Visual and Textual Recognition of Markush StructuresCode1
Project Jenkins: Turning Monkey Neural Data into Robotic Arm Movement, and Back0
ELTEX: A Framework for Domain-Driven Synthetic Data GenerationCode0
Synthetic Data Generation Using Large Language Models: Advances in Text and Code0
CyclePose -- Leveraging Cycle-Consistency for Annotation-Free Nuclei Segmentation in Fluorescence MicroscopyCode0
AugGen: Synthetic Augmentation Can Improve Discriminative Models0
Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks0
Local Look-Ahead Guidance via Verifier-in-the-Loop for Automated Theorem Proving0
Active Learning Inspired ControlNet Guidance for Augmenting Semantic Segmentation Datasets0
Synthetic Data Generation of Body Motion Data by Neural Gas Network for Emotion RecognitionCode0
Mellow: a small audio language model for reasoningCode2
Synthetic Data Generation for Minimum-Exposure Navigation in a Time-Varying Environment using Generative AI Models0
Attention-Based Synthetic Data Generation for Calibration-Enhanced Survival Analysis: A Case Study for Chronic Kidney Disease Using Electronic Health Records0
AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic DataCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1corGANAUROC0.92Unverified
2GANAUROC0.87Unverified
#ModelMetricClaimedVerifiedStatus
1kiNETGANEMD0.07Unverified
2CTGANEMD0.07Unverified