Sanjiv Kumar

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Citations	21620	13328
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Felix Xinnan YuResearch Scientist, Google New YorkVerified email at google.com
Sashank J. ReddiResearch Scientist, Google ResearchVerified email at cs.cmu.edu
Shih-Fu ChangProfessor of Electrical Engineering and Computer Science, Columbia UniversityVerified email at columbia.edu
Henry A. RowleyStaff Research Scientist, GoogleVerified email at google.com
Ankit Singh RawatResearch Scientist, GoogleVerified email at google.com
Ruiqi GuoGoogle Research, New YorkVerified email at google.com
Aditya Krishna MenonResearch Scientist, GoogleVerified email at google.com
Satyen KaleStaff Research Scientist, Google ResearchVerified email at google.com
Ananda Theertha SureshSenior Research Scientist, Google New YorkVerified email at google.com
Jun WangVerified email at ee.columbia.edu
martial hebertCMUVerified email at ri.cmu.edu
Srinadh BhojanapalliResearch Scientist, Google ResearchVerified email at google.com
Manzil ZaheerGoogle ResearchVerified email at cmu.edu
Ameesh MakadiaGoogle ResearchVerified email at google.com
Ameet TalwalkarCMU and Determined AIVerified email at cmu.edu
Wei LiuTencentVerified email at ee.columbia.edu
Cho-Jui HsiehUniversity of California, Los AngelesVerified email at cs.ucla.edu
Mehryar MohriHead, Learning Theory Team, Google Research; Professor, Courant Institute of Mathematical SciencesVerified email at google.com
H. Brendan McMahanResearch Scientist, Google SeattleVerified email at google.com
David SimchaGoogleVerified email at google.com

Sanjiv Kumar

Google Fellow, VP, Google Research

Verified email at google.com - Homepage

Large-scale machine learning Artificial Intelligence Computer Vision Robotics Data Mining


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
On the convergence of adam and beyond SJ Reddi, S Kale, S Kumar arXiv preprint arXiv:1904.09237, 2019	1807	2019
Hashing with graphs W Liu, J Wang, S Kumar, SF Chang Icml, 2011	1109	2011
Semi-supervised hashing for large-scale search J Wang, S Kumar, SF Chang IEEE transactions on pattern analysis and machine intelligence 34 (12), 2393 …, 2012	856	2012
Semi-supervised hashing for scalable image retrieval J Wang, S Kumar, SF Chang 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010	701	2010
Discriminative random fields: A discriminative framework for contextual interaction in classification S Kumar Proceedings ninth IEEE international conference on computer vision, 1150-1157, 2003	631	2003
A new baseline for image annotation A Makadia, V Pavlovic, S Kumar European conference on computer vision, 316-329, 2008	585	2008
Face tracking and recognition with visual constraints in real-world videos M Kim, S Kumar, V Pavlovic, H Rowley 2008 IEEE Conference on computer vision and pattern recognition, 1-8, 2008	570	2008
Discrete graph hashing W Liu, C Mu, S Kumar, SF Chang Advances in neural information processing systems 27, 2014	507	2014
Learning to hash for indexing big data—A survey J Wang, W Liu, S Kumar, SF Chang Proceedings of the IEEE 104 (1), 34-57, 2015	506	2015
Discriminative random fields S Kumar, M Hebert International Journal of Computer Vision 68 (2), 179-201, 2006	506	2006
Large batch optimization for deep learning: Training bert in 76 minutes Y You, J Li, S Reddi, J Hseu, S Kumar, S Bhojanapalli, X Song, J Demmel, ... arXiv preprint arXiv:1904.00962, 2019	400	2019
Sampling methods for the Nyström method S Kumar, M Mohri, A Talwalkar The Journal of Machine Learning Research 13 (1), 981-1006, 2012	388	2012
Millennium development goals (MDGS) to sustainable development goals (SDGS): Addressing unfinished agenda and strengthening sustainable development and partnership S Kumar, N Kumar, S Vivekadhish Indian journal of community medicine: official publication of Indian …, 2016	375	2016
Sequential projection learning for hashing with compact codes J Wang, S Kumar, SF Chang	375	2010
Adaptive federated optimization S Reddi, Z Charles, M Zaheer, Z Garrett, K Rush, J Konečný, S Kumar, ... arXiv preprint arXiv:2003.00295, 2020	356	2020
A hierarchical field framework for unified context-based classification S Kumar, M Hebert Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 2 …, 2005	336	2005
An exploration of parameter redundancy in deep networks with circulant projections Y Cheng, FX Yu, RS Feris, S Kumar, A Choudhary, SF Chang Proceedings of the IEEE international conference on computer vision, 2857-2865, 2015	307	2015
Discriminative fields for modeling spatial dependencies in natural images S Kumar, M Hebert Advances in neural information processing systems 16, 2003	307	2003
cpSGD: Communication-efficient and differentially-private distributed SGD N Agarwal, AT Suresh, FXX Yu, S Kumar, B McMahan Advances in Neural Information Processing Systems 31, 2018	279	2018
Baselines for image annotation A Makadia, V Pavlovic, S Kumar International Journal of Computer Vision 90 (1), 88-105, 2010	249	2010

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