24 - 26 avril 2017 - Palais Neptune à Toulon
Intelligence artificielle, big data ... au programme avec en partenaires Facebook, Google, Nvidia, Amazon....
L’UTLN avec Hervé Glotin (Laboratoire LSIS) fait partie du comité d’organisation local de cette manifestation d’envergure à Toulon.
The performance of machine learning methods is heavily dependent on the choice of data representation (or features) on which they are applied. The rapidly developing field of representation learning is concerned with questions surrounding how we can best learn meaningful and useful representations of data. We take a broad view of the field and include topics such as deep learning and feature learning, metric learning, compositional modeling, structured prediction, reinforcement learning, and issues regarding large-scale learning and non-convex optimization. The range of domains to which these techniques apply is also very broad, from vision to speech recognition, text understanding, gaming, music, etc.
A non-exhaustive list of relevant topics :