Eleni Triantafillou

Google

Names

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

Eleni Triantafillou

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
,
****@gmail.com
,
****@google.com

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.

Researcher
Google (google.com)
2021Present
 
PhD student
University of Toronto (toronto.edu)
20172021
 
Intern, student researcher
Google (google.com)
20192019
 
Intern
Microsoft (microsoft.com)
20152015
 

Advisors, Relations & Conflicts

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

Coauthor
Vincent Dumoulin
****@google.com
2018Present
 
Coauthor
Utku Evci
****@google.com
2018Present
 
Coauthor
Pascal Lamblin
****@google.com
2018Present
 
Coauthor
Ross Goroshin
****@google.com
2018Present
 
Coauthor
Tyler Zhu
****@google.com
2018Present
 
Coauthor
Pierre-Antoine Manzagol
****@google.com
2018Present
 
Coauthor
Mengye Ren
****@cs.toronto.edu
2017Present
 
Coauthor
Jake Snell
****@cs.toronto.edu
2017Present
 
Coauthor
Hugo Larochelle
****@google.com
2017Present
 
Coauthor
Kevin Swersky
****@google.com
2017Present
 
PhD Advisor
Richard Zemel
****@cs.toronto.edu
20162021
 
PhD Advisor
Raquel Urtasun
****@cs.toronto.edu
20162021
 
Coauthor
Kelvin Xu
****@berkeley.edu
20182019
 
Coauthor
Sachin Ravi
****@princeton.edu
20172019
 
Coauthor
Josh B. Tenenbaum
****@mit.edu
20172019
 

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

few-shot learning, transfer learning, self-supervised learning, domain generalization, domain adaptation
2021Present
 
few-shot learning, meta-learning
2016Present
 
natural language processing, sentence representation learning
20162017