Kai Sheng Tai
Title
Cited by
Cited by
Year
Improved Semantic Representations from Tree-Structured Long Short-Term Memory Networks
KS Tai, R Socher, CD Manning
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
21472015
Three-dimensional (3d) convolution with 3d batch normalization
R Socher, C Xiong, KS Tai
US Patent App. 15/237,575, 2017
322017
Detecting gravitational waves from highly eccentric compact binaries
KS Tai, ST McWilliams, F Pretorius
Physical Review D 90 (10), 103001, 2014
292014
Moment-based quantile sketches for efficient high cardinality aggregation queries
E Gan, J Ding, KS Tai, V Sharan, P Bailis
arXiv preprint arXiv:1803.01969, 2018
222018
Equivariant Transformer Networks
KS Tai, P Bailis, G Valiant
Proceedings of the 36th International Conference on Machine Learning, 2019
122019
Sketching Linear Classifiers over Data Streams
KS Tai, V Sharan, P Bailis, G Valiant
Proceedings of the 2018 International Conference on Management of Data …, 2018
112018
Three-Dimensional (3D) Convolution With 3D Batch Normalization
R Socher, C Xiong, KS Tai
US Patent App. 16/355,290, 2019
52019
Compressed Factorization: Fast and Accurate Low-Rank Factorization of Compressively-Sensed Data
V Sharan, KS Tai, P Bailis, G Valiant
Proceedings of the 36th International Conference on Machine Learning, 2019
3*2019
Eccentric compact object mergers
F Pretorius, W East, J Levin, S McWilliams, KS Tai
APS 2013, Q10. 005, 2013
2013
Compressed Factorization
V Sharan, KS Tai, P Bailis, G Valiant
Finding Heavily-Weighted Features with the Weight-Median Sketch
KS Tai, V Sharan, P Bailis, G Valiant
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Articles 1–11