Raphael Tang
Raphael Tang
David R. Cheriton School of Computer Science
Verified email at uwaterloo.ca
TitleCited byYear
Deep residual learning for small-footprint keyword spotting
R Tang, J Lin
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
182018
An experimental analysis of the power consumption of convolutional neural networks for keyword spotting
R Tang, W Wang, Z Tu, J Lin
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
102018
Honk: A PyTorch reimplementation of convolutional neural networks for keyword spotting
R Tang, J Lin
arXiv preprint arXiv:1710.06554, 2017
62017
Rethinking Complex Neural Network Architectures for Document Classification
A Adhikari, A Ram, R Tang, J Lin
12019
Progress and Tradeoffs in Neural Language Models
R Tang, J Lin
arXiv preprint arXiv:1811.00942, 2018
12018
JavaScript Convolutional Neural Networks for Keyword Spotting in the Browser: An Experimental Analysis
J Lee, R Tang, J Lin
arXiv preprint arXiv:1810.12859, 2018
12018
Adaptive Pruning of Neural Language Models for Mobile Devices
R Tang, J Lin
arXiv preprint arXiv:1809.10282, 2018
12018
DocBERT: BERT for Document Classification
A Adhikari, A Ram, R Tang, J Lin
arXiv preprint arXiv:1904.08398, 2019
2019
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks
R Tang, Y Lu, L Liu, L Mou, O Vechtomova, J Lin
arXiv preprint arXiv:1903.12136, 2019
2019
Universal voice-enabled user interfaces using JavaScript
J Lee, R Tang, J Lin
Proceedings of the 24th International Conference on Intelligent User …, 2019
2019
Streaming Voice Query Recognition using Causal Convolutional Recurrent Neural Networks
R Tang, G Yang, H Wei, Y Mao, F Ture, J Lin
arXiv preprint arXiv:1812.07754, 2018
2018
FLOPs as a Direct Optimization Objective for Learning Sparse Neural Networks
R Tang, A Adhikari, J Lin
arXiv preprint arXiv:1811.03060, 2018
2018
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Articles 1–12