Current Visitor

Richard Zemel

Funding provided by Eric and Wendy Schmidt
Field of Study
Machine Learning
Home Institution
University of Toronto

Richard Zemel will focus on three machine learning topics, including learning with little data: how to adapt learning systems to accommodate new classes not seen in training, given only a few examples of each; fairness: how automated learning systems can make fair decisions, i.e., ones that are not unduly biased for or against specific subgroups in the population; and computational neuroscience: synergies between our understanding of neural information processing and computation in deep neural networks.

Dates at IAS
  • Mathematics
1/2019  Spring
  • Mathematics
9/201712/2017 Fall
University of Toronto Ph.D., 1994