Latest Articles for Synthetic Data

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.

A study on bias in synthetic image generation models and their societal impacts.

This article discusses how personas can improve synthetic data creation for training models.

A new method improves clarity and accuracy in automated scoring systems.

A new method uses translation to enhance language model training.

This work enhances drone detection through innovative methods and synthetic data.

Exploring how synthetic data shapes machine learning models and their behavior.

CLAMP-ViT offers a new way to compress vision transformers using synthetic data.

Generative AI improves RF sensing capabilities, transforming data collection and analysis.

A new approach enhances Federated Learning by generating synthetic data while protecting privacy.

A new method generates synthetic data to improve detection of false outputs.

Introducing a model that combines tree-based transforms for effective outcome generation.

New techniques improve head pose estimation from single front-facing images.