samarth [dot] sinha [at] mail [dot] utoronto [dot] ca
. I am an undergraduate student in Computer Engineering at the University of Toronto and Vector Institute where I work with Animesh Garg and Roger Grosse on the intersection of machine learning and reinforcement learning.
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.
My research interests span across Deep Learning and (Deep) Reinforcement Learning. I am interested in training models and agents that can learn generalizable representations from minimal supervision.
I have had the privilege to work with some amazing collaborators, and I am always interested in chatting about new problems. If you find anything interesting on the website, please get in touch!
PUBLICATIONS / PRE-PRINTS
DIVA: DIVERSE VISUAL FEATURE AGGREGATION FOR DEEP METRIC LEARNING
Karsten Roth*, Timo Milbich*, Homanga Bharadhwaj, Samarth Sinha, Joseph Paul Cohen, Bjorn Ommer, Yoshua Bengio (2020)
CURRICULUM BY TEXTURE
Samarth Sinha, Animesh Garg, Hugo Larochelle (2020)
TOP-K TRAINING OF GANS: IMPROVING GAN PERFORMANCE BY THROWING AWAY BAD SAMPLES
Samarth Sinha, Anirudh Goyal, Colin Raffel, Augustus Odena (2020)
EXPERIENCE REPLAY WITH LIKELIHOOD-FREE IMPORTANCE WEIGHTS
Samarth Sinha*, Jiaming Song*, Animesh Garg, Stefano Ermon (2020)
In review, arXiv soon
REVISITING TRAINING STRATEGIES AND GENERALIZATION PERFORMANCE IN DEEP METRIC LEARNING
Karsten Roth*, Timo Milbich*, Samarth Sinha, Prateek Gupta, Bjoern Ommer, Joseph Paul Cohen (2020)
DIBS: DIVERSITY INDUCING INFORMATION BOTTLENECK IN MODEL ENSEMBLES
Samarth Sinha*, Homanga Bharadhwaj*, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti (2020)
Samarth Sinha, Han Zhang, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Augustus Odena (2019)
Samarth Sinha*, Sayna Ebrahimi*, Trevor Darrell
ICCV 2019 (Oral)
Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata
CVPR 2019, ICLR LLD Workshop 2019