Raphael Tang
Title
Cited by
Cited by
Year
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
1032019
Deep Residual Learning for Small-Footprint Keyword Spotting
R Tang, J Lin
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
842018
Docbert: Bert for document classification
A Adhikari, A Ram, R Tang, J Lin
arXiv preprint arXiv:1904.08398, 2019
622019
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
292019
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
192018
Honk: A PyTorch Reimplementation of Convolutional Neural Networks for Keyword Spotting
R Tang, J Lin
arXiv preprint arXiv:1710.06554, 2017
172017
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
J Xin, R Tang, J Lee, Y Yu, J Lin
arXiv preprint arXiv:2004.12993, 2020
142020
Rapidly Bootstrapping a Question Answering Dataset for COVID-19
R Tang, R Nogueira, E Zhang, N Gupta, P Cam, K Cho, J Lin
arXiv preprint arXiv:2004.11339, 2020
142020
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
132019
Covidex: Neural ranking models and keyword search infrastructure for the covid-19 open research dataset
E Zhang, N Gupta, R Tang, X Han, R Pradeep, K Lu, Y Zhang, R Nogueira, ...
arXiv preprint arXiv:2007.07846, 2020
92020
Flops as a direct optimization objective for learning sparse neural networks
R Tang, A Adhikari, J Lin
arXiv preprint arXiv:1811.03060, 2018
72018
Progress and Tradeoffs in Neural Language Models
R Tang, J Lin
arXiv preprint arXiv:1811.00942, 2018
42018
What Would Elsa Do? Freezing Layers During Transformer Fine-Tuning
J Lee, R Tang, J Lin
arXiv preprint arXiv:1911.03090, 2019
32019
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
32019
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
32019
Adaptive pruning of neural language models for mobile devices
R Tang, J Lin
arXiv preprint arXiv:1809.10282, 2018
32018
Universal Voice-Enabled User Interfaces Using JavaScript
J Lee, R Tang, J Lin
Proceedings of the 24th International Conference on Intelligent User …, 2019
22019
Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT
A Adhikari, A Ram, R Tang, WL Hamilton, J Lin
Proceedings of the 5th Workshop on Representation Learning for NLP, 72-77, 2020
12020
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
12019
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
12019
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Articles 1–20