Latest Articles for Synthetic Data

Synthetic data provides cost-effective solutions while ensuring privacy and reducing bias.

Researchers improve AI models using synthetic images for effective classification.

A new ultrasound method enhances catheter identification in minimally invasive surgeries.

New dataset offers insights into births while safeguarding personal information.

Importance of focusing on tabular data for machine learning advancements.

A method for effective and controlled data transfer between different domains.

Training language models to be more reliable and aware of their limitations.

Synthetic data offers promising solutions to challenges in medical imaging.

Exploring synthetic data's role in improving aerial human detection systems.

A new method enhances synthetic data creation while preserving table relationships.

A new method enables the transfer of LoRA modules with synthetic data, minimizing reliance on original data.

A new loss function improves synthetic tabular data using GANs for medical research.

Language models enhance web task performance through self-improvement techniques.

New techniques improve quality and training for 3D images.

An overview of synthetic data generation and its importance in data-driven applications.

A new method improves small model accuracy using synthetic data.

LaT-PFN enhances forecasting by using context and synthetic data for predictions.

New framework enables efficient learning of diseases without storing past data.

This study introduces GNNs to improve online matching in various digital platforms.

New methods enhance fNIRS analysis using synthetic data and machine learning.

This article explores how language models can help us understand human choices.

A study on methods for safe synthetic data that maintains privacy and usefulness.

SimGen improves self-driving car training with realistic synthetic data.

A fresh approach to create synthetic data without privacy concerns.

A new method combines human feedback and machine learning for effective data quality monitoring.

Researchers are using self-supervised learning to improve Alzheimer’s Disease classification via MRI scans.

The Nemotron-4 340B family delivers powerful models for diverse applications and synthetic data generation.

Synthetic data enhances the accuracy of stance detection in online discussions.

A new model enhances synthetic EHR data for improved healthcare applications.

A new method reduces privacy risks in retrieval-augmented generation applications.

This article examines how LLMs can generate synthetic tables effectively while addressing key challenges.

Synthetic data aids survival analysis by generating realistic datasets for better modeling.

TimeAutoDiff offers new solutions for creating realistic synthetic time series data.

Exploring the role of synthetic data in enhancing healthcare AI systems.

A new technique improves imaging of brain blood vessels, aiding research.

AUTOPRIV simplifies data privacy for users without technical skills.

A new method for efficiently selecting estimators in off-policy evaluation tasks.

A new synthetic dataset enhances training for multimodal AI models.

New methods generate synthetic data to protect privacy in collaborative scenarios.

This article examines the role of LLMs in generating synthetic data for text classification tasks.