54 citations · 178 across the 16 of their papers we have counts for
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cs.CL2022★ 1 cited
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance
Haotong Qin, Xudong Ma, Yifu Ding +6
Deep neural networks, such as the Deep-FSMN, have been widely studied for keyword spotting (KWS) applications while suffering expensive computation and storage. Therefore, network…
cs.CL2022★ 11 cited
BiFSMN: Binary Neural Network for Keyword Spotting
Haotong Qin, Xudong Ma, Yifu Ding +6
The deep neural networks, such as the Deep-FSMN, have been widely studied for keyword spotting (KWS) applications. However, computational resources for these networks are significa…
cs.CL2021★ 2 cited
AT-BERT: Adversarial Training BERT for Acronym Identification Winning Solution for SDU@AAAI-21
Danqing Zhu, Wangli Lin, Yang Zhang +4
Acronym identification focuses on finding the acronyms and the phrases that have been abbreviated, which is crucial for scientific document understanding tasks. However, the limite…