Thursday, August 9, 2018

Thursday, August 9, 2018 — 10:00 AM EDT

Vineet John, Master’s candidate
David R. Cheriton School of Computer Science

This thesis tackles the problem of disentangling the latent style and content variables in a language modelling context. This involves splitting the latent representations of documents by learning which features of a document are discriminative of its style and content, and encoding these features separately using neural network models.

Thursday, August 9, 2018 — 3:00 PM EDT

Aiman Erbad, Computer Science and Engineering Department
Qatar University

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