Sanjiv Kumar

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Sashank J. ReddiResearch Scientist, Google ResearchVerified email at cs.cmu.edu
Felix Xinnan YuResearch Scientist, Google New YorkVerified email at google.com
Henry A. RowleyStaff Research Scientist, GoogleVerified email at google.com
Shih-Fu ChangProfessor of Electrical Engineering and Computer Science, Columbia UniversityVerified email at columbia.edu
Ankit Singh RawatResearch Scientist, GoogleVerified email at google.com
Aditya Krishna MenonResearch Scientist, GoogleVerified email at google.com
Ruiqi GuoGoogle Research, New YorkVerified 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
Srinadh BhojanapalliResearch Scientist, Google ResearchVerified email at google.com
Jun WangVerified email at ee.columbia.edu
martial hebertCMUVerified email at ri.cmu.edu
Manzil ZaheerGoogle ResearchVerified email at cmu.edu
Ameesh MakadiaGoogle ResearchVerified email at google.com
Ameet TalwalkarCMUVerified email at cmu.edu
Cho-Jui HsiehUniversity of California, Los AngelesVerified email at cs.ucla.edu
Wei Liu, Fellow of IEEE/IAPR/IMADistinguished Scientist, TencentVerified email at ee.columbia.edu
Mehryar MohriHead, Learning Theory Team, Google Research; Professor, Courant Institute of Mathematical Sciences.Verified email at google.com
Andreas VeitResearch Scientist, GoogleVerified email at cs.cornell.edu
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	2139	2019
Hashing with graphs W Liu, J Wang, S Kumar, SF Chang	1143	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	899	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	716	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	639	2003
A new baseline for image annotation A Makadia, V Pavlovic, S Kumar Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008	592	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	587	2008
Adaptive federated optimization S Reddi, Z Charles, M Zaheer, Z Garrett, K Rush, J Konečný, S Kumar, ... arXiv preprint arXiv:2003.00295, 2020	547	2020
Discrete graph hashing W Liu, C Mu, S Kumar, SF Chang Advances in neural information processing systems 27, 2014	544	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	541	2015
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	538	2019
Discriminative random fields S Kumar, M Hebert International Journal of Computer Vision 68, 179-201, 2006	512	2006
Sampling methods for the Nyström method S Kumar, M Mohri, A Talwalkar The Journal of Machine Learning Research 13 (1), 981-1006, 2012	411	2012
Sequential projection learning for hashing with compact codes J Wang, S Kumar, SF Chang	382	2010
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	339	2005
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	338	2018
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	333	2015
Discriminative fields for modeling spatial dependencies in natural images S Kumar, M Hebert Advances in neural information processing systems 16, 2003	311	2003
Adaptive methods for nonconvex optimization M Zaheer, S Reddi, D Sachan, S Kale, S Kumar Advances in neural information processing systems 31, 2018	280	2018
Baselines for image annotation A Makadia, V Pavlovic, S Kumar International Journal of Computer Vision 90, 88-105, 2010	256	2010

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