SAMARTH SINHA

samarth [dot] sinha [at] mail [dot] utoronto [dot] ca

I am a final year undergraduate student in Computer Engineering at the University of Toronto and Vector Institute where I work with Animesh Garg on the intersection of Reinforcement Learning and Computer Vision.

Previously, I was a visiting student at MILA working closely with Anirudh Goyal, Hugo Larochelle and Yoshua Bengio; I was also a visitor at UC Berkeley, working with Trevor Darrell and Zeynep Akata. I have also been very fortunate to work at some amazing startups: AuroraDeepMapConcuredNanoleaf

I spent my high school summers working with Alex Lvovsky working on Quantum Optics and with Guenther Ruhe working on Software Engineering. 

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RECENT UPDATES

  • [Dec 2020] One paper accepted to AAAI 2021! ✨

  • [Sept 2020] Two papers accepted to NeurIPS 2020, one as poster and one as a Spotlight! ✨

  • [Sept 2020] Started final year of undergrad 😓

  • [July 2020] One paper accepted to ECCV 2020! ✨

  • [May 2020] Stared as a student researcher at the Vector Institute

  • [April 2020] Two papers accepted to ICML 2020! ✨

  • [June 2019] One paper accepted to ICCV 2019 as an oral! ✨

  • [May 2019] Started as a visiting student at MILA 

  • [March 2019] One paper accepted to CVPR 2019! ✨

  • [May 2018] Started as a visiting student at UC Berkeley 

 
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RESEARCH INTERESTS

My research interests span across Deep Learning and Deep Reinforcement Learning. I am interested in training agents that can learn generalizable representations from data.

I have had the privilege to work with some amazing collaborators, and I am always looking for new students and collaborators. If you are interested in any paper on the website, please get in touch!

 

PUBLICATIONS / PRE-PRINTS

Samarth Sinha, Animesh Garg

arXiv

Haoyu Xiong, Quanzhou Li, Yun-Chun Chen, Homanga Bharadhwaj, Samarth Sinha, Animesh Garg

arXiv

STACKMIX: A COMPLIMENTARY MIX ALGORITHM

John Chen, Samarth Sinha, Anastasios Kyrillidis

arXiv

Samarth Sinha*, Homanga Bharadhwaj*, Aravind Srinivas, Animesh Garg

arXiv

Samarth Sinha*, Karsten Roth*, Anirudh Goyal, Marzyeh Ghassemi, Hugo Larochelle, Animesh Garg

arXiv

Samarth Sinha*, Jiaming Song*, Animesh Garg, Stefano Ermon

arXiv

Samarth Sinha*, Homanga Bharadhwaj*, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti

AAAI 2021 (Poster)

Samarth Sinha, Animesh Garg, Hugo Larochelle 

NeurIPS 2021 (Spotlight)

Samarth Sinha*, Zhengli Zhao*, Anirudh Goyal, Colin Raffel, Augustus Odena 

NeurIPS 2020 (Poster)

Karsten Roth*, Timo Milbich*, Homanga Bharadhwaj, Samarth Sinha, Joseph Paul Cohen, Bjorn Ommer, Yoshua Bengio

ECCV 2020

Karsten Roth*, Timo Milbich*, Samarth Sinha, Prateek Gupta, Bjoern Ommer, Joseph Paul Cohen

ICML 2020 (Poster)

Samarth Sinha, Han Zhang, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Augustus Odena 
ICML 2020 (Poster)

Samarth Sinha*, Sayna Ebrahimi*, Trevor Darrell

ICCV 2019 (Oral)

Edgar Schönfeld, Sayna Ebrahimi, Samarth SinhaTrevor Darrell, Zeynep Akata 

CVPR 2019 (Poster)

 
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