Latest Articles for Neural Architecture Search

A new approach to improve efficiency in neural architecture search processes.

Manticore automates the creation of hybrid language models, improving efficiency and performance.

A new framework enhances train fault detection using advanced deep learning techniques.

New framework reduces carbon emissions in deep learning model design.

RC-NAS framework enhances deep learning models against adversarial attacks effectively.

This study assesses lightweight embedding methods for effective recommender systems.

A new approach to neural architecture search offers flexibility and improved performance.

Exploring the optimization of DNNs for devices with limited energy supply.

MCU-MixQ enhances AI model performance on microcontrollers by optimizing resource use.

This article discusses improving neural network training speed using transfer learning from supernets.

A new method enhances architecture search for deep learning models.

A system enabling voice authentication in multiple languages for mobile devices.

Introducing SHSADE-PIDS, an efficient method for neural architecture search in point cloud data.

A new method improves activation function search for deep learning models.

New methods enable non-invasive blood pressure monitoring through wearable devices.

A web app simplifying federated learning for enhanced data privacy and user accessibility.

A new method enhances image clarity and recognition in noisy environments.

POMONAG improves architecture search with a focus on multiple objectives for better efficiency.

A new algorithm enhances early detection of cerebral palsy in children.

Innovative methods for improving neural networks with less computing power.

New system ILASH reduces energy use and emissions in AI models.

Researchers find ways to help robots learn new tasks faster.