Brian Kulis (Preferred)
Brian Kulis
Amazon
Names
How do you usually write your name as author of a paper? Also add any other names you have authored papers under.
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.
****@cse.ohio-state.edu
, ****@bu.edu
, ****@gmail.com
, ****@amazon.com
Personal Links
Add links to your profiles on other sites. (Optional)
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.
Amazon Scholar
Amazon (amazon.com)
2019 – Present
Associate Professor
Boston University (bu.edu)
2015 – Present
Assistant Professor
Ohio State University (osu.edu)
2011 – 2015
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
Coauthor
Kate Saenko
****@cs.uml.edu
2011 – 2015
Coauthor
Judy Hoffman
****@cs.stanford.edu
2012 – 2014
Coauthor
Trevor Darrell
****@eecs.berkeley.edu
2011 – 2014
Coauthor
Jeff Donahue
****@cs.berkeley.edu
2011 – 2014
Coauthor
Anirban Roychowdhury
****@osu.edu
2011 – 2014
Coauthor
Inderjit Dhillon
****@cs.utexas.edu
2011 – 2014
Coauthor
Kristen Grauman
****@cs.utexas.edu
2011 – 2014
Coauthor
Kate Saenko
****@eecs.berkeley.edu
2011 – 2014
Coauthor
Jeff Donahue
****@eecs.berkeley.edu
2011 – 2014
Coauthor
Lawrence Carin
****@duke.edu
2011 – 2014
Coauthor
Erik Rodner
****@uni-jena.de
2011 – 2014
Coauthor
Judy Hoffman
****@eecs.berkeley.edu
2011 – 2014
Coauthor
Jeff Donahue
****@gmail.com
2011 – 2014
Coauthor
Fei Sha
****@usc.edu
2011 – 2014
Coauthor
trevor darrell
****@gmail.com
2012 – 2012
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, Domain Adaptation, Meta Learning
2017 – 2022
Metric Learning, Hashing, Similarity Search
2006 – 2022
Clustering, Bregman Divergences, Image Segmentation
2003 – 2022
Bayesian Nonparametrics, Dirichlet Processes, Graphical Models
2010 – 2017