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Devon R. Hjelm
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Bio
My research focuses on using mutual information estimation and self-supervision in representation learning for applications in computer vision, natural language processing, and RL. My long-term goal is to use machine learning to learn representations that help with scientific discovery.
Papers55 papers
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NeurIPS, (2020)
Tristan Sylvain, Francis Dutil, Tess Berthier, Lisa Di Jorio, Margaux Luck,Devon Hjelm,Yoshua Bengio
ICLR, (2020)
ICML, pp.7022-7033, (2020)
Aristide Baratin, Thomas George, César Laurent,R Devon Hjelm, Guillaume Lajoie,Pascal Vincent,Simon Lacoste-Julien
Christopher Beckham,Sina Honari, Alex Lamb, Vikas Verma, Farnoosh Ghadiri,R Devon Hjelm,Yoshua Bengio,Chris Pal
NeurIPS, pp.4348-4359, (2019)
Cited by19EIBibtex
CoRL, pp.430-444, (2019)
CoRL, pp.430-444, (2019)
Christopher Beckham,Sina Honari,Vikas Verma,Alex Lamb, Farnoosh Ghadiri,R. Devon Hjelm,Yoshua Bengio,Christopher Pal
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019)
ICLR, (2019)
Thang Doan, Joao Monteiro, Isabela Albuquerque,Bogdan Mazoure, Audrey Durand,Joelle Pineau,R. Devon Hjelm
AAAI, (2019)
Hjelm R Devon, Fedorov Alex, Lavoie-Marchildon Samuel, Grewal Karan, Bachman Phil,Trischler Adam,Bengio Yoshua
ICLR, (2019)
Alaaeldin El-Nouby, Shikhar Sharma,Hannes Schulz,R. Devon Hjelm,Layla El Asri,Samira Ebrahimi Kahou,Yoshua Bengio,Graham W. Taylor
ICCV, pp.10303-10311, (2019)
ICCV, pp.1844-1853, (2019)
arXiv preprint arXiv:1809.10341, (2019)
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