Rating is available when the video has been rented.
This feature is not available right now. Please try again later.
Published on Sep 1, 2016
Author: Nando de Freitas, Department of Computer Science, University of Oxford
Abstract: Deep neural network representations play an important role in computer vision, speech, computational linguistics, robotics, reinforcement learning and many other data-rich domains. In this talk I will show that learning-to-learn and compositionality are key ingredients for dealing with knowledge transfer so as to solve a wide range of tasks, for dealing with small-data regimes, and for continual learning. I will demonstrate this with three examples: learning learning algorithms, neural programmers and interpreters, and learning communication.