活动时间： 2018年12月17日 上午10:30-11:30
活动地点： 宝山校区9号楼514
报告题目：Unification of Deep Learning and Reasoning
报告人：Prof. Dapeng Oliver Wu,Dept. of Electrical & Computer Engineering,University of Florida, USA
报告摘要：
While deep learning has achieved a huge success in various learning problems, the current models are still far away from replicating many functions that a normal human brain can do. Memorization based deep architecture have been recently proposed with the objective to learn and predict better.In this talk, I will present a model that involves a primary learner with an adjacent structured memory bank which can not only predict the output from a given input but also relate it to all itspast memorized instances and help in its creative understanding. This paper presents a spatially forked deep learning architecture that can even predict and reason about the nature of an input belonging to a category never seen in the training data by relating it with the memorized past representations at the higher layers. Characterizing images of unseen geometrical figures is used as an example to showcase the operational success of the proposed framework
