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Naresh Shanbhag

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DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural Networks

Jul 19, 2020
Hassan Dbouk, Hetul Sanghvi, Mahesh Mehendale, Naresh Shanbhag

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HarDNN: Feature Map Vulnerability Evaluation in CNNs

Feb 25, 2020
Abdulrahman Mahmoud, Siva Kumar Sastry Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh Shanbhag, Pavlo Molchanov, Michael B. Sullivan, Timothy Tsai, Stephen W. Keckler

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Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks

Jan 19, 2019
Charbel Sakr, Naigang Wang, Chia-Yu Chen, Jungwook Choi, Ankur Agrawal, Naresh Shanbhag, Kailash Gopalakrishnan

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Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm

Dec 31, 2018
Charbel Sakr, Naresh Shanbhag

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Understanding the Energy and Precision Requirements for Online Learning

Aug 26, 2016
Charbel Sakr, Ameya Patil, Sai Zhang, Yongjune Kim, Naresh Shanbhag

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Error-Resilient Machine Learning in Near Threshold Voltage via Classifier Ensemble

Jul 03, 2016
Sai Zhang, Naresh Shanbhag

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