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Ryan Spring
Ryan Spring
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Title
Cited by
Cited by
Year
Scalable and sustainable deep learning via randomized hashing
R Spring, A Shrivastava
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
1472017
Training Question Answering Models From Synthetic Data
R Puri, R Spring, M Patwary, M Shoeybi, B Catanzaro
arXiv preprint arXiv: 2002.09599, 2020
1312020
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
502017
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches
A Aghazadeh, R Spring, D LeJeune, G Dasarathy, A Shrivastava, ...
Proceedings of the 35th International Conference on Machine Learning 80, 80-88, 2018
422018
Compressing Gradient Optimizers via Count-Sketches
R Spring, A Kyrillidis, V Mohan, A Shrivastava
Proceedings of the 36th International Conference on Machine Learning 97 …, 2019
332019
Mutual Information Estimation using LSH Sampling.
R Spring, A Shrivastava
IJCAI, 2807-2815, 2020
142020
Resource-Efficient Machine Learning via Count-Sketches and Locality-Sensitive Hashing (LSH)
RD Spring
Rice University, 2020
12020
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