Reasoning with Deep Learning
Yuandong Tian
Research Scientist
Facebook AI Research
Abstract: Deep learning has been proven very successful in many applications that
require advanced pattern matching, including computer vision. However, it
is still unclear how deep learning could be involved in other tasks such as
logic reasoning. In this talk, I introduce two of our recent works on this
direction, Visual Question and Answering and Computer Go. We show that
with different architecture, we could achieve state-of-the-art performance
against existing approaches.
Bio: Yuandong Tian is a Research Scientist in Facebook Al Research, working on
Deep Learning and Computer Vision. Prior to that, he was a Software
Engineer in Google Self-driving Car team in 2013-2014. He received Ph.D in
Robotics Institute, Carnegie Mellon University on 2013, Bachelor and Master
degree of Computer Science in Shanghai Jiao Tong University. He is the
recipient of 2013 ICCV Marr Prize Honorable Mentions for his work on
global optimal solution to nonconvex optimization in image alignment.