Sanjiv Kumar
Co-Authors
Google Publications
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Distributed Mean Estimation with Limited Communication
Ananda Theertha Suresh, Felix X. Yu, H. Brendan McMahan, Sanjiv Kumar
International Conference on Machine Learning (2017)
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Efficient Natural Language Response Suggestion for Smart Reply
Matthew Henderson, Rami Al-Rfou, Brian Strope, Yun-hsuan Sung, László Lukács, Ruiqi Guo, Sanjiv Kumar, Balint Miklos, Ray Kurzweil
ArXiv e-prints (2017)
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Binary embeddings with structured hashed projections
Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski, Tony Jebara, Sanjiv Kumar, Yann LeCun
Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016, JMLR.org, pp. 344-353
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Felix X. Yu, Ananda Theertha Suresh, Krzysztof Choromanski, Dan Holtmann-Rice, Sanjiv Kumar
NIPS 2016
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Quantization based Fast Inner Product Search
Ruiqi Guo, Sanjiv Kumar, Krzysztof Choromanski, David Simcha
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, AISTATS 2016, Cadiz, Spain, May 9-11, 2016, JMLR.org, pp. 482-490
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An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections
Yu Cheng, Felix X. Yu, Rogerio Feris, Sanjiv Kumar, Shih-Fu Chang
International Conference on Computer Vision (ICCV) (2015)
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Fast Orthogonal Projection Based on Kronecker Product
Xu Zhang, Felix X. Yu, Ruiqi Guo, Sanjiv Kumar, Shengjin Wang, Shih-Fu Chang
International Conference on Computer Vision (ICCV) (2015)
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Spherical Random Features for Polynomial Kernels
Jeffrey Pennington, Felix X. Yu, Sanjiv Kumar
Neural Information Processing Systems (NIPS) (2015)
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Structured Transforms for Small-footprint Deep Learning
Vikas Sindhwani, Tara N. Sainath, Sanjiv Kumar
Neural Information Processing Systems (NIPS) (2015)
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Felix X. Yu, Sanjiv Kumar, Yunchao Gong, Shih-Fu Chang
International Conference on Machine Learning (ICML) (2014)
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Wei Liu, Cun Mu, Sanjiv Kumar, Shih-Fu Chang
Neural Information Processing Systems (2014)
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Large Scale SVD and Manifold Learning
Ameet Talwalkar, Sanjiv Kumar, Mehryar Morhri, Henry A. Rowley
Journal of Machine Learning Research (JMLR) (2013)
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Learning Binary Codes for High Dimensional Data Using Bilinear Projections
Yunchao Gong, Sanjiv Kumar, Henry Rowley, Svetlana Lazebnik
IEEE Computer Vision and Pattern Recognition (2013)
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Nearest Neighbor Search in Google Correlate
Dan Vanderkam, Rob Schonberger, Henry Rowley, Sanjiv Kumar
Google (2013)
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pSVM for Learning with Label Proportions
Felix X. Yu, Dong Liu, Sanjiv Kumar, Tony Jebara, Shih-Fu Chang
International Conference on Machine Learning (ICML) (2013)
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Angular Quantization-based Binary Codes for Fast Similarity Search
Yunchao Gong, Sanjiv Kumar, Vishal Verma, Svetlana Lazebnik
Neural Information Processing Systems (NIPS) (2012)
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Compact Hyperplane Hashing with Bilinear Functions
Wei Liu, Jun Wang, Yadong Mu, Sanjiv Kumar, Shih-Fu Chang
International Conference on Machine Learning (ICML) (2012)
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On the Difficulty of Nearest Neighbor Search
Junfeng He, Sanjiv Kumar, Shih-Fu Chang
International Conference on Machine Learning (ICML) (2012)
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Sampling Methods for the Nystrom Method
Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar
Journal of Machine Learning Research (JMLR) (2012)
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Semi-Supervised Hashing for Large Scale Search
Jun Wang, Sanjiv Kumar, Shih-Fu Chang
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) (2012)
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Ensemble Nystrom
Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar
A book chapter in Ensemble Machine Learning: Theory and Applications, Springer (2011)
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Matt Mohebbi, Dan Vanderkam, Julia Kodysh, Rob Schonberger, Hyunyoung Choi, Sanjiv Kumar
Google (2011)
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Hashing with Graphs
Wei Liu, Jun Wang, Sanjiv Kumar, Shih-Fu Chang
International Conference on Machine Learning (ICML) (2011)
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Baselines for Image Annotation
Ameesh Makadia, Vladimir Pavlovic, Sanjiv Kumar
International Journal on Computer Vision (IJCV) (2010)
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Semi-Supervised Hashing for Scalable Image Retrieval
Jun Wang, Sanjiv Kumar, Shih-Fu Chang
IEEE Conf on Computer Vision and Pattern Recognition (CVPR) (2010)
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Sequential Projection Learning for Hashing with Compact Codes
Jun Wang, Sanjiv Kumar, Shih-Fu Chang
International Conference on Machine Learning (ICML) (2010)
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YouTubeCat: Learning to Categorize Wild Web Videos
Zheshen Wang, Ming Zhao, Yang Song, Sanjiv Kumar, Baoxin Li
IEEE Conf on Computer Vision and Pattern Recognition (CVPR) (2010)
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Ensemble Nystrom Method
Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar
Neural Information Processing Systems (NIPS) (2009)
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On Sampling-Based Approximate Spectral Decomposition
Sanjiv Kumar, Mehryar Mohri, Ameet Talkwalkar
International Conference on Machine Learning (ICML) (2009)
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Sampling Techniques for the Nystrom Method
Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar
Artificial Intelligence and Statistics (AISTATS) (2009)
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A New Baseline For Image Annotation
Ameesh Makadia, Vladimir Pavlovic, Sanjiv Kumar
European Conference on Computer Vision (ECCV) (2008)
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Face Tracking and Recognition with Visual Constraints in Real-World Videos
Minyoung Kim, Sanjiv Kumar, Vladimir Pavlovic, Henry A. Rowley
IEEE Computer Vision and Pattern Recognition (CVPR) (2008)
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Ameet Talwalkar, Sanjiv Kumar, Henry A. Rowley
Computer Vision and Pattern Recognition (CVPR) (2008)
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Classification of Weakly-Labeled Data with Partial Equivalence Relations
International Conference on Computer Vision (ICCV) (2007)
Previous Publications
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Binary embeddings with structured hashed projections
Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski, Tony Jebara, Sanjiv Kumar, Yann LeCun
CoRR, vol. abs/1511.05212 (2015)
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Fast Online Clustering with Randomized Skeleton Sets
Krzysztof Choromanski, Sanjiv Kumar, Xiaofeng Liu
CoRR, vol. abs/1506.03425 (2015)
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Quantization based Fast Inner Product Search
Ruiqi Guo, Sanjiv Kumar, Krzysztof Choromanski, David Simcha
CoRR, vol. abs/1509.01469 (2015)
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Large-scale SVD and manifold learning
Ameet Talwalkar, Sanjiv Kumar, Mehryar Mohri, Henry A. Rowley
Journal of Machine Learning Research, vol. 14 (2013), pp. 3129-3152
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Sampling Methods for the Nyström Method
Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar
Journal of Machine Learning Research, vol. 13 (2012), pp. 981-1006