Past Visitor

Richard Zemel

Affiliation
Mathematics
Field of Study
Machine Learning
From 1/2019 – 4/2019:

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
Visitor
  • Mathematics
1/2020  Spring
Visitor
  • Mathematics
1/20194/2019 Spring
Visitor
  • Mathematics
9/201712/2017 Fall
Degrees
University of Toronto Ph.D., 1994