I am a staff AI Research Engineer at Facebook AI Research (FAIR) in New York, USA where I work on computer vision and machine learning.
At FAIR, I have led research on representation learning using self-supervision from uncurated datasets, training large-scale computer vision models (notable projects: ImageNet in 1 Hour and SEER 10 billion parameters self-supervised model) and building socially responsible AI models. I led the development of self-supervised learning library VISSL and am a recipient of the Best Student Paper Award for Focal Loss at ICCV 2017.
VISSL: A library for state-of-the-art self-supervised learning from images
Priya Goyal, Quentin Duval, Jeremy Reizenstein, Matthew Leavitt, Min Xu, Benjamin Lefaudeux, Mannat Singh, Vinicius Reis, Mathilde Caron, Piotr Bojanowski, Armand Joulin, Ishan Misra
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