Sanjiv Kumar
Sanjiv Kumar
Google Fellow, VP, Google Research
Verified email at google.com - Homepage
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
15502019
Hashing with graphs
W Liu, J Wang, S Kumar, SF Chang
Icml, 2011
10732011
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
8422012
Semi-supervised hashing for scalable image retrieval
J Wang, S Kumar, SF Chang
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
6882010
Discriminative random fields: A discriminative framework for contextual interaction in classification
S Kumar
Proceedings ninth IEEE international conference on computer vision, 1150-1157, 2003
6342003
A new baseline for image annotation
A Makadia, V Pavlovic, S Kumar
European conference on computer vision, 316-329, 2008
5702008
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
5592008
Discriminative random fields
S Kumar, M Hebert
International Journal of Computer Vision 68 (2), 179-201, 2006
5022006
Discrete graph hashing
W Liu, C Mu, S Kumar, SF Chang
4732014
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
4712015
Sequential projection learning for hashing with compact codes
J Wang, S Kumar, SF Chang
3742010
Sampling methods for the Nyström method
S Kumar, M Mohri, A Talwalkar
The Journal of Machine Learning Research 13 (1), 981-1006, 2012
3732012
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
3392005
Advances in Neural Information Processing Systems I
L Davis, DS Touretzky
Curran Associates Inc, 379-387, 1989
3141989
Discriminative fields for modeling spatial dependencies in natural images
S Kumar, M Hebert
Carnegie Mellon University, 2003
3092003
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
2982019
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
2832015
Baselines for image annotation
A Makadia, V Pavlovic, S Kumar
International Journal of Computer Vision 90 (1), 88-105, 2010
2532010
Large-scale manifold learning
A Talwalkar, S Kumar, H Rowley
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
2382008
cpSGD: Communication-efficient and differentially-private distributed SGD
N Agarwal, AT Suresh, F Yu, S Kumar, HB Mcmahan
arXiv preprint arXiv:1805.10559, 2018
2252018
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Articles 1–20