C-LSTM: Enabling efficient LSTM using structured compression techniques on FPGAs

S Wang, Z Li, C Ding, B Yuan, Q Qiu, Y Wang… - Proceedings of the …, 2018 - dl.acm.org
Recently, significant accuracy improvement has been achieved for acoustic recognition
systems by increasing the model size of Long Short-Term Memory (LSTM) networks …
被引用次数：243 相关文章

C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs

S Wang, Z Li, C Ding, B Yuan, Q Qiu, Y Wang… - ACM/SIGDA Intl. Symp …, 2018 - par.nsf.gov
Recently, significant accuracy improvement has been achieved for acoustic recognition
systems by increasing the model size of Long Short-Term Memory (LSTM) networks …

C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs

S Wang, Z Li, C Ding, B Yuan, Y Wang, Q Qiu… - arXiv preprint arXiv …, 2018 - arxiv.org
Recently, significant accuracy improvement has been achieved for acoustic recognition
systems by increasing the model size of Long Short-Term Memory (LSTM) networks …
[PDF] pku.edu.cn

[PDF][PDF] C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs

S Wang, Z Li, C Ding, B Yuan, Q Qiu, Y Wang, Y Liang - 2018 - ceca.pku.edu.cn
Recently, significant accuracy improvement has been achieved for acoustic recognition
systems by increasing the model size of Long Short-Term Memory (LSTM) networks …
[PDF] researchgate.net

[PDF][PDF] C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs

S Wang, Z Li, C Ding, B Yuan, Q Qiu, Y Wang, Y Liang - 2018 - researchgate.net
Recently, significant accuracy improvement has been achieved for acoustic recognition
systems by increasing the model size of Long Short-Term Memory (LSTM) networks …
[PDF] 115.27.240.201

[PDF][PDF] C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs

S Wang, Z Li, C Ding, B Yuan, Q Qiu, Y Wang, Y Liang - 2018 - 115.27.240.201
Recently, significant accuracy improvement has been achieved for acoustic recognition
systems by increasing the model size of Long Short-Term Memory (LSTM) networks …

C-LSTM: Enabling efficient LSTM using structured compression techniques on FPGAs

S Wang, Z Li, C Ding, B Yuan, Q Qiu… - 2018 ACM/SIGDA …, 2018 - researchwithrutgers.com
Recently, significant accuracy improvement has been achieved for acoustic recognition
systems by increasing the model size of Long Short-Term Memory (LSTM) networks …

C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs

S Wang, Z Li, C Ding, B Yuan, Y Wang, Q Qiu… - arXiv e …, 2018 - ui.adsabs.harvard.edu
Recently, significant accuracy improvement has been achieved for acoustic recognition
systems by increasing the model size of Long Short-Term Memory (LSTM) networks …

C-LSTM: Enabling efficient LSTM using structured compression techniques on FPGAs

S Wang, Z Li, C Ding, B Yuan, Q Qiu… - 2018 ACM/SIGDA …, 2018 - experts.syr.edu
Recently, significant accuracy improvement has been achieved for acoustic recognition
systems by increasing the model size of Long Short-Term Memory (LSTM) networks …

[引用][C] C-LSTM

S Wang, Z Li, C Ding, B Yuan, Q Qiu, Y Wang… - Proceedings of the …, 2018 - cir.nii.ac.jp
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