Applied Deep Learning: Now and Beyond
I will start by discussing the reasons that I believe explain the current success in industry of deep learning, as it is becoming the most popular tool for learning representations (features) of data. To do so, I will describe how we use deep learning at Twitter, to learn representations of tweets, images, videos and users. Then, I will share my views on what are some of the most promising future directions for deep learning research.
Hugo Larochelle is Research Scientist at Twitter Cortex and Assistant Professor at the Université de Sherbrooke (UdeS). Before, he spent two years in the machine learning group at University of Toronto, as a postdoctoral fellow under the supervision of Geoffrey Hinton. He obtained his Ph.D. at Université de Montréal, under the supervision of Yoshua Bengio. He is the recipient of two Google Faculty Awards. His professional involvement includes associate editor for the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), member of the editorial board of the Journal of Artificial Intelligence Research (JAIR) and program chair for the International Conference on Learning Representations (ICLR) of 2015 and 2016.