Sanjiv Kumar
Google Publications
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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









