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Anshumali Shrivastava
Anshumali Shrivastava
Rice University, ThirdAI Corp.
Bestätigte E-Mail-Adresse bei rice.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Asymmetric LSH (ALSH) for sublinear time maximum inner product search (MIPS)
A Shrivastava, P Li
Advances in neural information processing systems 27, 2014
5562014
Hashing algorithms for large-scale learning
P Li, A Shrivastava, J Moore, A König
Advances in neural information processing systems 24, 2011
1912011
Scalable and sustainable deep learning via randomized hashing
R Spring, A Shrivastava
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
1472017
In defense of minhash over simhash
A Shrivastava, P Li
Artificial intelligence and statistics, 886-894, 2014
1322014
Improved asymmetric locality sensitive hashing (ALSH) for maximum inner product search (MIPS)
A Shrivastava, P Li
arXiv preprint arXiv:1410.5410, 2014
1302014
Densifying one permutation hashing via rotation for fast near neighbor search
A Shrivastava, P Li
International Conference on Machine Learning, 557-565, 2014
1182014
Slide: In defense of smart algorithms over hardware acceleration for large-scale deep learning systems
B Chen, T Medini, J Farwell, C Tai, A Shrivastava
Proceedings of Machine Learning and Systems 2, 291-306, 2020
1152020
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
922015
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
912019
Extreme classification in log memory using count-min sketch: A case study of amazon search with 50m products
TKR Medini, Q Huang, Y Wang, V Mohan, A Shrivastava
Advances in Neural Information Processing Systems 32, 2019
792019
Mongoose: A learnable lsh framework for efficient neural network training
B Chen, Z Liu, B Peng, Z Xu, JL Li, T Dao, Z Song, A Shrivastava, C Re
International Conference on Learning Representations, 2020
712020
Optimal densification for fast and accurate minwise hashing
A Shrivastava
International Conference on Machine Learning, 3154-3163, 2017
702017
Privacy adversarial network: representation learning for mobile data privacy
S Liu, J Du, A Shrivastava, L Zhong
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019
63*2019
Simple and efficient weighted minwise hashing
A Shrivastava
Advances in Neural Information Processing Systems, 1498-1506, 2016
63*2016
Improved Densification of One Permutation Hashing
A Shrivastava, P Li
Uncertainty In Artificial Intelligence 2014, 2014
612014
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
582016
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
57*2018
Coding for random projections
P Li, M Mitzenmacher, A Shrivastava
International Conference on Machine Learning, 676-684, 2014
52*2014
Fast near neighbor search in high-dimensional binary data
A Shrivastava, P Li
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2012
512012
Adaptive learned bloom filter (ada-bf): Efficient utilization of the classifier with application to real-time information filtering on the web
Z Dai, A Shrivastava
Advances in neural information processing systems 33, 11700-11710, 2020
50*2020
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