Samarth Sinha

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	All	Since 2016
Citations	285	285
h-index	5	5
i10-index	3	3

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Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
Sayna EbrahimiPhD Candidate, UC BerkeleyVerified email at berkeley.edu
Edgar SchönfeldPhD student at Bosch and Saarland UniversityVerified email at bosch.com
Zeynep AkataProfessor of Computer Science, University of TübingenVerified email at uni-tuebingen.de
Anirudh GoyalMila, Université de MontréalVerified email at umontreal.ca
Animesh GargUniversity of Toronto, Vector Institute, NvidiaVerified email at cs.toronto.edu
Hugo LarochelleGoogle Brain & MilaVerified email at google.com
Homanga BharadhwajUniversity of Toronto; Vector Institute; Nvidia ResearchVerified email at cs.toronto.edu
Augustus OdenaResearch Scientist, Google BrainVerified email at google.com
Karsten RothMaster Student, Computer Vision Group, Heidelberg UniversityVerified email at stud.uni-heidelberg.de
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Colin RaffelUNC Chapel Hill and Google BrainVerified email at cs.unc.edu
Zhengli ZhaoPh.D. in Computer ScienceVerified email at google.com
Florian ShkurtiAssistant Professor, Computer Science, University of TorontoVerified email at cs.toronto.edu
Aravind SrinivasUC BerkeleyVerified email at cs.berkeley.edu
Jiaming SongStanford UniversityVerified email at cs.stanford.edu
Stefano ErmonStanford UniversityVerified email at cs.stanford.edu
John ChenRice UniversityVerified email at rice.edu
Anastasios KyrillidisAssistant Professor, Computer Science Department, Rice UniversityVerified email at rice.edu
Yun-Chun ChenPhD Student, University of Toronto; Student Researcher, Vector InstituteVerified email at cs.toronto.edu

Samarth Sinha

Undergrad @ University of Toronto

Verified email at mail.utoronto.ca - Homepage

Deep Learning Reinforcement Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Generalized Zero-and Few-Shot Learning via Aligned Variational Autoencoders E Schönfeld, S Ebrahimi, S Sinha, T Darrell, Z Akata CVPR 2019, 2018	164	2018
Variational Adversarial Active Learning S Sinha, S Ebrahimi, T Darrell ICCV 2019, 2019	78	2019
Revisiting training strategies and generalization performance in deep metric learning K Roth, T Milbich, S Sinha, P Gupta, B Ommer, JP Cohen ICML 2020, 2020	15	2020
DIBS: Diversity inducing Information Bottleneck in Model Ensembles S Sinha, H Bharadhwaj, A Goyal, H Larochelle, A Garg, F Shkurti AAAI 2021, 2020	7	2020
Small-GAN: Speeding Up GAN Training Using Core-sets S Sinha, H Zhang, A Goyal, Y Bengio, H Larochelle, A Odena ICML 2020, 2019	7	2019
DiVA: Diverse Visual Feature Aggregation forDeep Metric Learning T Milbich, K Roth, H Bharadhwaj, S Sinha, Y Bengio, B Ommer, JP Cohen ECCV 2020, 2020	4*	2020
Curriculum By Smoothing S Sinha, A Garg, H Larochelle NeurIPS 2020, 2020	4*	2020
Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples S Sinha, Z Zhao, AG ALIAS PARTH GOYAL, CA Raffel, A Odena Advances in Neural Information Processing Systems 33, 2020	4*	2020
D2RL: Deep Dense Architectures in Reinforcement Learning S Sinha, H Bharadhwaj, A Srinivas, A Garg arXiv preprint arXiv:2010.09163, 2020	2	2020
Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos H Xiong, Q Li, YC Chen, H Bharadhwaj, S Sinha, A Garg arXiv preprint arXiv:2101.07241, 2021		2021
ImCLR: Implicit Contrastive Learning for Image Classification J Chen, S Sinha, A Kyrillidis arXiv preprint arXiv:2011.12618, 2020		2020
Uniform Priors for Data-Efficient Transfer S Sinha, K Roth, A Goyal, M Ghassemi, H Larochelle, A Garg arXiv preprint arXiv:2006.16524, 2020		2020
Experience Replay with Likelihood-free Importance Weights S Sinha, J Song, A Garg, S Ermon arXiv preprint arXiv:2006.13169, 2020		2020
Consistency Regularization for Variational Auto-Encoders S Sinha, A Odena, AB Dieng INNF Workshop-ICML 2020, 2020		2020

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