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.

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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: Aurora, DeepMap, Concured, Nanoleaf. 

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

RECENT UPDATES

• [July 2021] One paper accepted to IROS 2021! ✨
  

• [June 2021] Finished undergrad at Toronto 🎓

• [May 2021] Started internship at Amazon Research! 📝

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

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

• [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 

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.

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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!