| On the convergence of adam and beyond SJ Reddi, S Kale, S Kumar arXiv preprint arXiv:1904.09237, 2019 | 2043 | 2019 |
| Hashing with graphs W Liu, J Wang, S Kumar, SF Chang Icml, 2011 | 1136 | 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 | 886 | 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 | 710 | 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 European conference on computer vision, 316-329, 2008 | 590 | 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 | 581 | 2008 |
| 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 | 539 | 2015 |
| Discrete graph hashing W Liu, C Mu, S Kumar, SF Chang Advances in neural information processing systems 27, 2014 | 533 | 2014 |
| Discriminative random fields S Kumar, M Hebert International Journal of Computer Vision 68 (2), 179-201, 2006 | 513 | 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 | 501 | 2019 |
| Adaptive federated optimization S Reddi, Z Charles, M Zaheer, Z Garrett, K Rush, J Konečný, S Kumar, ... arXiv preprint arXiv:2003.00295, 2020 | 497 | 2020 |
| Sampling methods for the Nyström method S Kumar, M Mohri, A Talwalkar The Journal of Machine Learning Research 13 (1), 981-1006, 2012 | 403 | 2012 |
| Sequential projection learning for hashing with compact codes J Wang, S Kumar, SF Chang | 379 | 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 | 340 | 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 | 329 | 2015 |
| 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 | 319 | 2018 |
| Discriminative fields for modeling spatial dependencies in natural images S Kumar, M Hebert Advances in neural information processing systems 16, 2003 | 309 | 2003 |
| Adaptive methods for nonconvex optimization M Zaheer, S Reddi, D Sachan, S Kale, S Kumar Advances in neural information processing systems 31, 2018 | 272 | 2018 |
| Baselines for image annotation A Makadia, V Pavlovic, S Kumar International Journal of Computer Vision 90 (1), 88-105, 2010 | 254 | 2010 |
Sashank J. ReddiResearch Scientist, Google Researchcs.cmu.edu의 이메일 확인됨
