Pulkit Agrawal

Massachusetts Institute of Technology

Names

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

Pulkit Agrawal (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.

****@berkeley.edu
,
****@eecs.berkeley.edu
,
****@mit.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.

Assistant Professor
Massachusetts Institute of Technology (mit.edu)
2019Present
 
Graduate Student
University of California Berkeley (berkeley.edu)
20112018
 

Advisors, Relations & Conflicts

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

Coauthor
Deepak Pathak
****@berkeley.edu
20172018
 
PhD Advisor
Jitendra Malik
****@eecs.berkeley.edu
20112018
 
Coauthor
Amir Zamir
****@cs.stanford.edu
20162016
 
Coauthor
Pieter Abbeel
****@cs.berkeley.edu
20162016
 
Coauthor
Colin Wei
****@stanford.edu
20162016
 
Coauthor
Tilman Wekel
****@googlemail.com
20162016
 
Coauthor
Katerina Fragkiadaki
****@seas.upenn.edu
20152016
 
Coauthor
Jitendra Malik
****@eecs.berkeley.edu
20112016
 
Coauthor
Jitendra Malik
****@berkeley.edu
20112016
 
Coauthor
Katerina Fragkiadaki
****@gmail.com
20152015
 
Coauthor
Sergey Levine
****@eecs.berkeley.edu
20152015
 
Coauthor
Katerina Fragkiadaki
****@berkeley.edu
20152015
 
Coauthor
Ross Girshick
****@fb.com
20142014
 
Coauthor
Ross Girshick
****@gmail.com
20112014
 
Coauthor
Ross Girshick
****@microsoft.com
20112014
 
Coauthor
Ross Girshick
****@eecs.berkeley.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

Reinforcement Learning
2016Present
 
Robot Learning
2016Present
 
Deep Learning`
2012Present
 
Computer Vision
2012Present
 
RNNs
20152016