Samarth Sinha

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Sayna EbrahimiResearch Scientist at GoogleVerified email at berkeley.edu
Animesh GargAssistant Professor, University of Toronto, Vector Institute, NvidiaVerified email at cs.toronto.edu
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
Zeynep AkataProfessor of Computer Science, University of TübingenVerified email at uni-tuebingen.de
Edgar SchönfeldPhD student at Bosch and Saarland UniversityVerified email at bosch.com
Anirudh GoyalMila, Université de MontréalVerified email at umontreal.ca
Hugo LarochelleGoogle Brain & MilaVerified email at google.com
Karsten RothPhD Student (ELLIS, IMPRS-IS), Explainable Machine Learning Group, University of TuebingenVerified email at uni-tuebingen.de
Homanga BharadhwajSchool of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Augustus OdenaResearch ScientistVerified email at columbia.edu
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Colin RaffelUNC Chapel Hill and Hugging FaceVerified email at cs.unc.edu
Florian ShkurtiAssistant Professor, Computer Science, University of TorontoVerified email at cs.toronto.edu
Aravind SrinivasOpenAIVerified email at openai.com
Adji Bousso DiengAssistant Professor of Computer Science, Princeton UniversityVerified email at princeton.edu
Jiaming SongStanford UniversityVerified email at cs.stanford.edu
John ChenRice UniversityVerified email at rice.edu
Anastasios KyrillidisAssistant Professor, Computer Science Department, Rice University - MicrosoftVerified email at rice.edu
Yun-Chun ChenUniversity of Toronto, Vector Institute, Adobe ResearchVerified email at cs.toronto.edu
Haoyu XiongCarnegie Mellon UniversityVerified email at andrew.cmu.edu

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Computer Vision 3D Vision


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	387	2018
Variational Adversarial Active Learning S Sinha, S Ebrahimi, T Darrell ICCV 2019, 2019	242	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	81	2020
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	32*	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	29	2019
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 NeurIPS 2020 33, 2020	24*	2020
DIBS: Diversity inducing Information Bottleneck in Model Ensembles S Sinha, H Bharadhwaj, A Goyal, H Larochelle, A Garg, F Shkurti AAAI 2021, 2020	23*	2020
Curriculum By Smoothing S Sinha, A Garg, H Larochelle NeurIPS 2020, 2020	23*	2020
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning S Sinha, A Garg CoRL 2021, 2021	22*	2021
D2rl: Deep dense architectures in reinforcement learning S Sinha, H Bharadhwaj, A Srinivas, A Garg NeurIPS 2020 DRL Workshop, 2020	19	2020
Consistency Regularization for Variational Auto-Encoders S Sinha, AB Dieng NeurIPS 2021, 2021	15	2021
Experience replay with likelihood-free importance weights S Sinha, J Song, A Garg, S Ermon Learning for Dynamics and Control Conference, 110-123, 2022	13	2022
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning T Milbich, K Roth, S Sinha, L Schmidt, M Ghassemi, B Ommer NeurIPS 2021, 2021	5	2021
Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos H Xiong, Q Li, YC Chen, H Bharadhwaj, S Sinha, A Garg IROS 2021, 2021	5	2021
StackMix: A complementary Mix algorithm J Chen, S Sinha, A Kyrillidis arXiv preprint arXiv:2011.12618, 2020	4*	2020
Uniform Priors for Data-Efficient Learning S Sinha, K Roth, A Goyal, M Ghassemi, Z Akata, H Larochelle, A Garg Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	1*	2022
KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos D Novotny, I Rocco, S Sinha, A Carlier, G Kerchenbaum, R Shapovalov, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022		2022
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics M Weissenbacher, S Sinha, A Garg, Y Kawahara arXiv preprint arXiv:2111.01365, 2021		2021

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