Arun Mallya

NVIDIA

Names

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

Arun Mallya (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.

****@illinois.edu
,
****@gmail.com
,
****@nvidia.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.

Research Scientist
NVIDIA (nvidia.com)
2018Present
 
PhD student
University of Illinois, Urbana Champaign (illinois.edu)
20142018
 
MS student
University of Illinois, Urbana Champaign (illinois.edu)
20122014
 
Undergrad student
Indian Institute of Technology Kharagpur (iitkgp.ac.in)
20082012
 

Advisors, Relations & Conflicts

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

Coauthor
Saurabh Singh
****@illinois.edu
2015Present
 
Coauthor
Tatiana Tommasi
****@esat.kuleuven.be
20162016
 
Coauthor
Alexander Berg
****@cs.unc.edu
20162016
 
Coauthor
Bryan Plummer
****@illinois.edu
20162016
 
Coauthor
Tatiana Tommasi
****@gmail.com
20162016
 
Coauthor
Tatiana Tommasi
****@esat.kuleuven.be
20162016
 
Coauthor
Oncel Tuzel
****@gmail.com
20152016
 
Coauthor
Svetlana Lazebnik
****@illinois.edu
20152016
 
Coauthor
Arun Mallya
****@gmail.com
20142016
 
Coauthor
Arun Mallya
****@illinois.edu
20142016
 
Coauthor
Derek Hoiem
****@illinois.edu
20152015
 
Coauthor
Saurabh Singh
****@illinois.edu
20152015
 
Coauthor
Kevin Shih
****@illinois.edu
20152015
 
Coauthor
Ming-yu Liu
****@merl.com
20112014
 
Coauthor
Ming-yu Liu
****@gmail.com
20112014
 
Coauthor
Ming-yu Liu
****@umiacs.umd.edu
20112014
 
Coauthor
Oncel Tuzel
****@merl.com
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

Representation learning, pruning, transfer learning
Present