Article Source

• Title: Deep Advances in Generative Modeling
• Authors: Alec Radford

Deep Advances in Generative Modeling

Abstract

In recent years, deep learning approaches have come to dominate discriminative problems in many sub-areas of machine learning. Alongside this, they have also powered exciting improvements in generative and conditional modeling of richly structured data such as text, images, and audio.

This talk, led by indico’s Head of Research, Alec Radford, will serve as an introduction to several emerging application areas of generative modeling and provide a survey of recent techniques in the field.

Boston ML Forum 2016