Richard Zemel
homepage:http://www.cs.toronto.edu/~zemel/inquiry/home.php
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Description

My primary area of interest in research concerns computational theories of inference and learning in biological and artificial systems.

Questions that motivate me include: How can we construct artificial systems that analyze complex, cluttered environments with the ease and accuracy of natural systems? How can novel visual items be processed efficiently and how do representations and processing change as items become more familiar?


Lectures:

lecture
flag Introduction to CNNs
as author at  Deep Learning (DLSS) and Reinforcement Learning (RLSS) Summer School, Montreal 2017,
744 views
  event
flag Video Journal of Machine Learning Abstracts - Volume 1
as editor at  Video Journal of Machine Learning Abstracts - Volume 1,
together with: John Shawe-Taylor (editor),
opening
flag Opening Remarks and Awards
as author at  24th Annual Conference on Neural Information Processing Systems (NIPS), Vancouver 2010,
together with: Terrence J. Sejnowski, John Shawe-Taylor,
425 views