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ORCIDRaphael Tang
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2020 – today
- 2020
[c14]Ji Xin, Raphael Tang, Jaejun Lee, Yaoliang Yu, Jimmy Lin:
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference. ACL 2020: 2246-2251- [c13]Raphael Tang, Jaejun Lee, Ji Xin, Xinyu Liu, Yaoliang Yu, Jimmy Lin:
Showing Your Work Doesn't Always Work. ACL 2020: 2766-2772 - [c12]Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin:
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset. SDP@EMNLP 2020: 31-41 - [c11]Zhiying Jiang, Raphael Tang, Ji Xin, Jimmy Lin:
Inserting Information Bottleneck for Attribution in Transformers. EMNLP (Findings) 2020: 3850-3857 - [c10]Ashutosh Adhikari, Achyudh Ram, Raphael Tang, William L. Hamilton, Jimmy Lin:
Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT. RepL4NLP@ACL 2020: 72-77 - [i18]Raphael Tang, Rodrigo Nogueira, Edwin Zhang, Nikhil Gupta, Phuong Cam, Kyunghyun Cho, Jimmy Lin:
Rapidly Bootstrapping a Question Answering Dataset for COVID-19. CoRR abs/2004.11339 (2020) - [i17]Ji Xin, Raphael Tang, Jaejun Lee, Yaoliang Yu, Jimmy Lin:
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference. CoRR abs/2004.12993 (2020) - [i16]Raphael Tang, Jaejun Lee, Ji Xin, Xinyu Liu, Yaoliang Yu, Jimmy Lin:
Showing Your Work Doesn't Always Work. CoRR abs/2004.13705 (2020) - [i15]Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin:
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset. CoRR abs/2007.07846 (2020) - [i14]Raphael Tang, Jaejun Lee, Afsaneh Razi, Julia Cambre, Ian Bicking, Jofish Kaye, Jimmy Lin:
Howl: A Deployed, Open-Source Wake Word Detection System. CoRR abs/2008.09606 (2020) - [i13]Zhiying Jiang, Raphael Tang, Ji Xin, Jimmy Lin:
Inserting Information Bottlenecks for Attribution in Transformers. CoRR abs/2012.13838 (2020)
2010 – 2019
- 2019
- [c9]Raphael Tang, Yao Lu, Jimmy Lin:
Natural Language Generation for Effective Knowledge Distillation. DeepLo@EMNLP-IJCNLP 2019: 202-208 - [c8]Jaejun Lee, Raphael Tang, Jimmy Lin:
Honkling: In-Browser Personalization for Ubiquitous Keyword Spotting. EMNLP/IJCNLP (3) 2019: 91-96 - [c7]Linqing Liu, Wei Yang, Jinfeng Rao, Raphael Tang, Jimmy Lin:
Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling. EMNLP/IJCNLP (1) 2019: 1204-1209 - [c6]Jaejun Lee, Raphael Tang, Jimmy Lin:
Universal voice-enabled user interfaces using JavaScript. IUI Companion 2019: 81-82 - [c5]Ashutosh Adhikari, Achyudh Ram, Raphael Tang, Jimmy Lin:
Rethinking Complex Neural Network Architectures for Document Classification. NAACL-HLT (1) 2019: 4046-4051 - [c4]Raphael Tang, Ferhan Türe, Jimmy Lin:
Yelling at Your TV: An Analysis of Speech Recognition Errors and Subsequent User Behavior on Entertainment Systems. SIGIR 2019: 853-856 - [c3]Ferhan Türe, Jinfeng Rao, Raphael Tang, Jimmy Lin:
Challenges and Opportunities in Understanding Spoken Queries Directed at Modern Entertainment Platforms. SIGIR 2019: 1375-1376 - [i12]Raphael Tang, Yao Lu, Linqing Liu, Lili Mou, Olga Vechtomova, Jimmy Lin:
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks. CoRR abs/1903.12136 (2019) - [i11]Ashutosh Adhikari, Achyudh Ram, Raphael Tang, Jimmy Lin:
DocBERT: BERT for Document Classification. CoRR abs/1904.08398 (2019) - [i10]Yinan Zhang, Raphael Tang, Jimmy Lin:
Explicit Pairwise Word Interaction Modeling Improves Pretrained Transformers for English Semantic Similarity Tasks. CoRR abs/1911.02847 (2019) - [i9]Jaejun Lee, Raphael Tang, Jimmy Lin:
What Would Elsa Do? Freezing Layers During Transformer Fine-Tuning. CoRR abs/1911.03090 (2019) - 2018
- [c2]Raphael Tang, Weijie Wang, Zhucheng Tu, Jimmy Lin:
An Experimental Analysis of the Power Consumption of Convolutional Neural Networks for Keyword Spotting. ICASSP 2018: 5479-5483 - [c1]Raphael Tang, Jimmy Lin:
Deep Residual Learning for Small-Footprint Keyword Spotting. ICASSP 2018: 5484-5488 - [i8]Raphael Tang, Jimmy Lin:
Adaptive Pruning of Neural Language Models for Mobile Devices. CoRR abs/1809.10282 (2018) - [i7]Jaejun Lee, Raphael Tang, Jimmy Lin:
JavaScript Convolutional Neural Networks for Keyword Spotting in the Browser: An Experimental Analysis. CoRR abs/1810.12859 (2018) - [i6]Raphael Tang, Jimmy Lin:
Progress and Tradeoffs in Neural Language Models. CoRR abs/1811.00942 (2018) - [i5]Raphael Tang, Ashutosh Adhikari, Jimmy Lin:
FLOPs as a Direct Optimization Objective for Learning Sparse Neural Networks. CoRR abs/1811.03060 (2018) - [i4]Raphael Tang, Gefei Yang, Hong Wei, Yajie Mao, Ferhan Türe, Jimmy Lin:
Streaming Voice Query Recognition using Causal Convolutional Recurrent Neural Networks. CoRR abs/1812.07754 (2018) - 2017
- [i3]Raphael Tang, Jimmy Lin:
Honk: A PyTorch Reimplementation of Convolutional Neural Networks for Keyword Spotting. CoRR abs/1710.06554 (2017) - [i2]Raphael Tang, Jimmy Lin:
Deep Residual Learning for Small-Footprint Keyword Spotting. CoRR abs/1710.10361 (2017) - [i1]Raphael Tang, Weijie Wang, Zhucheng Tu, Jimmy Lin:
An Experimental Analysis of the Power Consumption of Convolutional Neural Networks for Keyword Spotting. CoRR abs/1711.00333 (2017)
Coauthor Index
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