Raphael Tang
TitleCited byYear
Deep Residual Learning for Small-Footprint Keyword Spotting
R Tang, J Lin
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
382018
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
142018
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
132019
DocBERT: BERT for Document Classification
A Adhikari, A Ram, R Tang, J Lin
arXiv preprint arXiv:1904.08398, 2019
112019
Honk: A PyTorch Reimplementation of Convolutional Neural Networks for Keyword Spotting
R Tang, J Lin
arXiv preprint arXiv:1710.06554, 2017
92017
Rethinking Complex Neural Network Architectures for Document Classification
A Adhikari*, A Ram*, R Tang, J Lin
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
52019
Progress and Tradeoffs in Neural Language Models
R Tang, J Lin
arXiv preprint arXiv:1811.00942, 2018
22018
Adaptive Pruning of Neural Language Models for Mobile Devices
R Tang, J Lin
arXiv preprint arXiv:1809.10282, 2018
22018
Yelling at Your TV: An Analysis of Speech Recognition Errors and Subsequent User Behavior on Entertainment Systems
R Tang, F Ture, J Lin
Proceedings of the 42nd Annual International ACM SIGIR Conference on …, 2019
12019
Universal Voice-Enabled User Interfaces Using JavaScript
J Lee, R Tang, J Lin
Proceedings of the 24th International Conference on Intelligent User …, 2019
12019
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
12018
FLOPs as a Direct Optimization Objective for Learning Sparse Neural Networks
R Tang, A Adhikari, J Lin
arXiv preprint arXiv:1811.03060, 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
Machine Learning for Streamflow Prediction: Current Status and Future Prospects
M Gauch, R Tang, J Mai, B Tolson, S Gharari, J Lin
AGU Fall Meeting 2019, 2019
2019
The Runoff Model-Intercomparison Project over Lake Erie and the Great Lakes
J Mai, B Tolson, H Shen, E Gaborit, V Fortin, M Dimitrijevic, N Gasset, ...
AGU Fall Meeting 2019, 2019
2019
What Would Elsa Do? Freezing Layers During Transformer Fine-Tuning
J Lee, R Tang, J Lin
arXiv preprint arXiv:1911.03090, 2019
2019
Explicit Pairwise Word Interaction Modeling Improves Pretrained Transformers for English Semantic Similarity Tasks
Y Zhang, R Tang, J Lin
arXiv preprint arXiv:1911.02847, 2019
2019
Natural Language Generation for Effective Knowledge Distillation
R Tang, Y Lu, J Lin
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource …, 2019
2019
Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling
L Liu, W Yang, J Rao, R Tang, J Lin
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
2019
Honkling: In-Browser Personalization for Ubiquitous Keyword Spotting
J Lee, R Tang, J Lin
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
2019
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Articles 1–20