Tel Aviv University
Associate Professor of Computer Science
Prof. Globerson received a BSc in computer science and physics in 1997 from the Hebrew University, and a PhD in computational neuroscience from the Hebrew University in 2006. After his PhD, he was a postdoctoral fellow at the University of Toronto and a Rothschild postdoctoral fellow at MIT. His research interests include machine learning, deep learning, graphical models, optimization, machine vision, and natural language processing. He is an associate editor for the Journal of Machine Learning Research, and the Associate Editor in Chief for the IEEE Transactions on Pattern Analysis and Machine Intelligence. His work has received several prizes including five paper awards (two at NIPS, two at UAI, and one at ICML), as well as one runner up for best paper at ICML.
Thursday - October 18, 2018
Deep Learing for Image Understanding
In this session, Amir will describe deep learning models that can use context to make predictions. Specifically, he will describe recent models for image annotation and text categorization. The models we consider iteratively refine their prediction by considering how each prediction components is influenced by other components...
Deep Learning and AI