On the challenges in programming mixed-precision deep neural networks

Proceedings of the 4th ACM SIGPLAN International Workshop on Machine Learning and Programming Languages ◽

10.1145/3394450.3397468 ◽

2020 ◽

Author(s):

Ruizhe Zhao ◽

Wayne Luk ◽

Chao Xiong ◽

Xinyu Niu ◽

Kuen Hung Tsoi

Keyword(s):

Neural Networks ◽

Deep Neural Networks ◽

Mixed Precision

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Exploration of Automatic Mixed-Precision Search for Deep Neural Networks

2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) ◽

10.1109/aicas.2019.8771498 ◽

2019 ◽

Author(s):

Xuyang Guo ◽

Yuanjun Huang ◽

Hsin-pai Cheng ◽

Bing Li ◽

Wei Wen ◽

...

Keyword(s):

Neural Networks ◽

Deep Neural Networks ◽

Mixed Precision

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Mixed-precision architecture based on computational memory for training deep neural networks

2018 IEEE International Symposium on Circuits and Systems (ISCAS) ◽

10.1109/iscas.2018.8351656 ◽

2018 ◽

Author(s):

S. R. Nandakumar ◽

Manuel Le Gallo ◽

Irem Boybat ◽

Bipin Rajendran ◽

Abu Sebastian ◽

...

Keyword(s):

Neural Networks ◽

Deep Neural Networks ◽

Mixed Precision ◽

Computational Memory

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Applying Lightweight Soft Error Mitigation Techniques to Embedded Mixed Precision Deep Neural Networks

IEEE Transactions on Circuits and Systems I Regular Papers ◽

10.1109/tcsi.2021.3097981 ◽

2021 ◽

pp. 1-11

Author(s):

Geancarlo Abich ◽

Jonas Gava ◽

Rafael Garibotti ◽

Ricardo Reis ◽

Luciano Ost

Keyword(s):

Neural Networks ◽

Deep Neural Networks ◽

Error Mitigation ◽

Mixed Precision ◽

Mitigation Techniques ◽

Soft Error Mitigation

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Research on Mixed-Precision Quantization and Fault-Tolerant of Deep Neural Networks

10.1145/3487075.3487135 ◽

2021 ◽

Author(s):

Zhaoxin Wang ◽

Jing Wang ◽

Kun Qian

Keyword(s):

Neural Networks ◽

Deep Neural Networks ◽

Fault Tolerant ◽

Mixed Precision

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Deep neural networks trained with heavier data augmentation learn features closer to representations in hIT

10.32470/ccn.2018.1046-0 ◽

2018 ◽

Author(s):

Alex Hernández-García ◽

Johannes Mehrer ◽

Nikolaus Kriegeskorte ◽

Peter König ◽

Tim C. Kietzmann

Keyword(s):

Neural Networks ◽

Deep Neural Networks ◽

Data Augmentation

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Representation of adversarial images in deep neural networks and the human brain

10.32470/ccn.2018.1066-0 ◽

2018 ◽

Author(s):

Chi Zhang ◽

Xiaohan Duan ◽

Ruyuan Zhang ◽

Li Tong

Keyword(s):

Neural Networks ◽

Human Brain ◽

Deep Neural Networks

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Study on Intelligent Security Camera Systems for the Automated Detection of Nighttime Snatching Incidents using Deep Neural Networks

IEEJ Transactions on Industry Applications ◽

10.1541/ieejias.136.727 ◽

2016 ◽

Vol 136 (10) ◽

pp. 727-734 ◽

Author(s):

Itaru Nagayama ◽

Akira Miyahara ◽

Koichi Shimabukuro

Keyword(s):

Neural Networks ◽

Deep Neural Networks ◽

Automated Detection ◽

Camera Systems ◽

Intelligent Security

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Memory Requirement Reduction of Deep Neural Networks for Field Programmable Gate Arrays Using Low-Bit Quantization of Parameters

2020 28th European Signal Processing Conference (EUSIPCO) ◽

10.23919/eusipco47968.2020.9287739 ◽

2021 ◽

Author(s):

Niccolo Nicodemo ◽

Gaurav Naithani ◽

Konstantinos Drossos ◽

Tuomas Virtanen ◽

Roberto Saletti

Keyword(s):

Neural Networks ◽

Deep Neural Networks ◽

Field Programmable Gate Arrays ◽

Memory Requirement ◽

Gate Arrays ◽

Field Programmable ◽

Programmable Gate Arrays

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The Use of Deep Neural Networks to Predict Post-liver Transplant Mortality

10.26226/morressier.58eb975cd462b80290b4f9e3 ◽

2017 ◽

Author(s):

Brent Ershoff

Keyword(s):

Neural Networks ◽

Liver Transplant ◽

Deep Neural Networks

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Financial Market Prediction and Improving the Performance Based on Large-scale Exogenous Variables and Deep Neural Networks

Korean Institute of Smart Media ◽

10.30693/smj.2020.9.4.26 ◽

2020 ◽

Vol 9 (4) ◽

pp. 26-35

Author(s):

Sung Gil Cheon ◽

Ju Hong Lee ◽

Bum Ghi Choi ◽

Jae Won Song

Keyword(s):

Neural Networks ◽

Financial Market ◽

Large Scale ◽

Deep Neural Networks ◽

Exogenous Variables

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