Current Visitor

Richard Zemel

Field of Study
Machine Learning
Home Institution
University of Toronto

Richard Zemel’s work 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 of these classes; 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