Richard Zemel

Department of Computer Science, Columbia University

Names

How do you usually write your name as author of a paper? Also add any other names you have authored papers under.

Richard Zemel (Preferred)
,
Rich Zemel
,
Richard S. Zemel

Emails

Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.

****@cs.toronto.edu
,
****@cs.columbia.edu

Education & Career History

Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.

Full Professor
Department of Computer Science, Columbia University (cs.columbia.edu)
2021Present
 
Full Professor
Department of Computer Science, University of Toronto (cs.toronto.edu)
2000Present
 

Advisors, Relations & Conflicts

Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.

Coauthor
Sanja Fidler
****@cs.toronto.edu
2015Present
 
Coworker
Kiriakos N Kutulakos
****@cs.toronto.edu
2001Present
 
Coauthor
Aaron Courville
****@gmail.com
20152015
 
Coauthor
Hugo Larochelle
****@usherbrooke.ca
20112014
 
Coauthor
Benjamin Marlin
****@cs.umass.edu
20112014
 
Coauthor
Kevin Swersky
****@cs.toronto.edu
20112014
 
Coauthor
Kyunghyun Cho
****@umontreal.ca
20112014
 
Coauthor
Jimmy Ba
****@psi.utoronto.ca
20112014
 
Coauthor
Ryan Kiros
****@cs.toronto.edu
20112014
 
Coauthor
Brendan Frey
****@psi.utoronto.ca
20112014
 
Coauthor
Max Welling
****@uva.nl
20112014
 
Coauthor
Kilian Weinberger
****@wustl.edu
20112014
 
Coauthor
Daniel Tarlow
****@cs.toronto.edu
20112014
 
Coauthor
Aaron Courville
****@umontreal.ca
20112014
 
Coauthor
Ruslan Salakhutdinov
****@cs.toronto.edu
20112014
 
Advisee
Xuming He
****@nicta.com.au
20012007
 

Expertise

For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing

scene understanding, structured output learning, generative models, fairness
Present