Sanjiv Kumar

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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  Learning Spread-out Local Feature Descriptors

  Xu Zhang, Felix Yu, Sanjiv Kumar, Shih-Fu Chang

  ICCV (2017)

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  Multiscale Quantization for Fast Similarity Search

  Xiang Wu, Ruiqi Guo, Ananda Theertha Suresh, Sanjiv Kumar, Dan Holtmann-Rice, David Simcha, Felix X. Yu

  NIPS (2017)

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  Now Playing: Continuous low-power music recognition

  Beat Gfeller, Blaise Aguera-Arcas, Dominik Roblek, James David Lyon, Julian James Odell, Kevin Kilgour, Marvin Ritter, Matt Sharifi, Mihajlo Velimirović, Ruiqi Guo, Sanjiv Kumar

  NIPS 2017 Workshop: Machine Learning on the Phone

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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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  Orthogonal Random Features

  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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  Circulant Binary Embedding

  Felix X. Yu, Sanjiv Kumar, Yunchao Gong, Shih-Fu Chang

  International Conference on Machine Learning (ICML) (2014)

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  Discrete Graph Hashing

  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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  Google Correlate Whitepaper

  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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  Large-Scale Manifold Learning

  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

  Sanjiv Kumar, Henry A. Rowley

  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