Neural Architecture Search (NAS) methods have been growing in popularity. These
techniques have been fundamental to automate and speed up the time consuming and error …

Deep Learning (DL) has attracted a lot of attention for its ability to reach state-of-the-art
performance in many machine learning tasks. The core principle of DL methods consists of …

Being at the state of the art in many domains, such as computer vision, convolutional neural
networks became a staple for many industrial applications, such as autonomous vehicles …

In recent years, deep neural networks (DNNs) have known an important rise in popularity.
However, although they are state-of-the-art in many machine learning challenges, they still …

It is widely anticipated that inference models based on Deep Neural Networks (DNN) will be
actively employed in many edge platforms due to several compelling reasons. Firstly, DNNs …

Le domaine médical est un vaste domaine d'application de l'intelligence artificielle. Malgré
les avancées récentes, il y reste une large marge d'innovation et d'amélioration face à des …

Learning deep representations to solve complex machine learning tasks has become the
prominent trend in the past few years. Indeed, Deep Neural Networks are now the golden …

Les réseaux de neurones profonds sont le standard incontournable de l'apprentissage
automatique. Cependant, pour atteindre les meilleures performances, ils requièrent des …

In recent years, Deep Learning methods have achieved state of the art performance in a vast
range of machine learning tasks, including image classification and multilingual automatic …