Scott Reed

Google

Names

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

Scott Reed (Preferred)

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.

****@google.com
,
****@umich.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.

Research Scientist
Google (google.com)
20162016
 

Advisors, Relations & Conflicts

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

Coauthor
Zeynep Akata
****@mpi-inf.mpg.de
2014Present
Coauthor
Bernt Schiele
****@mpi-inf.mpg.de
20152016
Coauthor
Bernt Schiele
****@mpi-inf.mpg.de
20152016
Coauthor
Jimei Yang
****@adobe.com
20152016
Coauthor
Zeynep Akata
****@mpi-inf.mpg.de
20152016
Coauthor
Honglak Lee
****@eecs.umich.edu
20142016
Coauthor
Yangqing Jia
****@eecs.berkeley.edu
20112015
Coauthor
Andrew Rabinovich
****@gmail.com
20112014
Coauthor
Drago Anguelov
****@google.com
20112014
Coauthor
Yuting Zhang
****@umich.edu
20112014
Coauthor
Christian Szegedy
****@google.com
20112014
Coauthor
Kihyuk Sohn
****@umich.edu
20112014
Coauthor
Wei Liu
****@sjtu.edu.cn
20112014
Coauthor
Wei Liu
****@cs.unc.edu
20112014
Coauthor
Pierre Sermanet
****@cs.nyu.edu
20112014
Coauthor
Wei Liu
****@ee.columbia.edu
20112014
Coauthor
Dumitru Erhan
****@google.com
20112014
Coauthor
Wei Liu
****@gmail.com
20112014
Coauthor
Honglak Lee
****@eecs.umich.edu
20112014

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

Deep Learning, Computer Vision, Neural Networks, Generative Models, Text to Image Synthesis, Program Induction
20122016