Machine learning compression

Research group on the applications of machine learning to compression

Next talk: GAN and applications to positive unlabeled learning

Our next seminar will be given by Florent Chiaroni, Ph.D. student at L2S. He will talk about¬†generative adversarial networks (GAN) and one possible application for positive unlabeled learning. More specifically, Florent will explain the working principles of GAN’s, and how he applied them in a weakly-supervised learning scenario, where only few labels of a given class are available. This work has been recently accepted for publication at ICIP 2018.

The seminar will be on June 14th, at 14:30, in the room B555 at Telecom Paristech.

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