Anshumali Shrivastava
Anshumali Shrivastava
Rice University, ThirdAI Corp.
Verified email at rice.edu - Homepage
Title
Cited by
Cited by
Year
Asymmetric LSH (ALSH) for sublinear time maximum inner product search (MIPS)
A Shrivastava, P Li
arXiv preprint arXiv:1405.5869, 2014
3742014
Hashing algorithms for large-scale learning
P Li, A Shrivastava, J Moore, AC Konig
arXiv preprint arXiv:1106.0967, 2011
1692011
Scalable and sustainable deep learning via randomized hashing
R Spring, A Shrivastava
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
1082017
Densifying one permutation hashing via rotation for fast near neighbor search
A Shrivastava, P Li
International Conference on Machine Learning, 557-565, 2014
1012014
Improved asymmetric locality sensitive hashing (ALSH) for maximum inner product search (MIPS)
A Shrivastava, P Li
arXiv preprint arXiv:1410.5410, 2014
952014
In defense of minhash over simhash
A Shrivastava, P Li
Artificial Intelligence and Statistics, 886-894, 2014
952014
Asymmetric minwise hashing for indexing binary inner products and set containment
A Shrivastava, P Li
Proceedings of the 24th international conference on world wide web, 981-991, 2015
722015
Improved Densification of One Permutation Hashing
A Shrivastava, P Li
Uncertainty In Artificial Intelligence 2014, 2014
492014
Simple and efficient weighted minwise hashing
A Shrivastava
Advances in Neural Information Processing Systems, 1498-1506, 2016
46*2016
Optimal densification for fast and accurate minwise hashing
A Shrivastava
International Conference on Machine Learning, 3154-3163, 2017
422017
Time Adaptive Sketches (Ada-Sketches) for Summarizing Data Streams
A Shrivastava, AC Konig, M Bilenko
Proceedings of the 2016 International Conference on Management of Data, 1417 …, 2016
402016
Fast near neighbor search in high-dimensional binary data
A Shrivastava, P Li
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012
392012
Coding for random projections
P Li, M Mitzenmacher, A Shrivastava
International Conference on Machine Learning, 676-684, 2014
38*2014
Learning feasibility for task and motion planning in tabletop environments
AM Wells, NT Dantam, A Shrivastava, LE Kavraki
IEEE robotics and automation letters 4 (2), 1255-1262, 2019
352019
A new unbiased and efficient class of lsh-based samplers and estimators for partition function computation in log-linear models
R Spring, A Shrivastava
arXiv preprint arXiv:1703.05160, 2017
352017
Slide: In defense of smart algorithms over hardware acceleration for large-scale deep learning systems
B Chen, T Medini, J Farwell, S Gobriel, C Tai, A Shrivastava
arXiv preprint arXiv:1903.03129, 2019
322019
Extreme classification in log memory using count-min sketch: A case study of amazon search with 50m products
T Medini, Q Huang, Y Wang, V Mohan, A Shrivastava
arXiv preprint arXiv:1910.13830, 2019
312019
Arrays of (locality-sensitive) count estimators (ace) anomaly detection on the edge
C Luo, A Shrivastava
Proceedings of the 2018 World Wide Web Conference, 1439-1448, 2018
31*2018
Mission: Ultra large-scale feature selection using count-sketches
A Aghazadeh, R Spring, D LeJeune, G Dasarathy, A Shrivastava
International Conference on Machine Learning, 80-88, 2018
292018
Randomized algorithms accelerated over cpu-gpu for ultra-high dimensional similarity search
Y Wang, A Shrivastava, J Wang, J Ryu
Proceedings of the 2018 International Conference on Management of Data, 889-903, 2018
29*2018
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