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MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers

Oct 25, 2020
Colby Banbury, Chuteng Zhou, Igor Fedorov, Ramon Matas Navarro, Urmish Thakker, Dibakar Gope, Vijay Janapa Reddi, Matthew Mattina, Paul N. Whatmough

* 10 pages, 8 figures, 3 tables, appendix 

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Sparse Systolic Tensor Array for Efficient CNN Hardware Acceleration

Sep 04, 2020
Zhi-Gang Liu, Paul N. Whatmough, Matthew Mattina


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TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids

May 20, 2020
Igor Fedorov, Marko Stamenovic, Carl Jensen, Li-Chia Yang, Ari Mandell, Yiming Gan, Matthew Mattina, Paul N. Whatmough

* First four authors contributed equally. For audio samples, see https://github.com/BoseCorp/efficient-neural-speech-enhancement 

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Systolic Tensor Array: An Efficient Structured-Sparse GEMM Accelerator for Mobile CNN Inference

May 16, 2020
Zhi-Gang Liu, Paul N. Whatmough, Matthew Mattina

* Accepted by IEEE Computer Architecture Letters on 3/4/2020 

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Searching for Winograd-aware Quantized Networks

Feb 25, 2020
Javier Fernandez-Marques, Paul N. Whatmough, Andrew Mundy, Matthew Mattina

* Published as a conference paper at MLSys 2020 

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Noisy Machines: Understanding Noisy Neural Networks and Enhancing Robustness to Analog Hardware Errors Using Distillation

Jan 14, 2020
Chuteng Zhou, Prad Kadambi, Matthew Mattina, Paul N. Whatmough


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ISP4ML: Understanding the Role of Image Signal Processing in Efficient Deep Learning Vision Systems

Nov 25, 2019
Patrick Hansen, Alexey Vilkin, Yury Khrustalev, James Imber, David Hanwell, Matthew Mattina, Paul N. Whatmough

* 13 pages, 11 figures 

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SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers

May 28, 2019
Igor Fedorov, Ryan P. Adams, Matthew Mattina, Paul N. Whatmough


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FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer Learning

Feb 27, 2019
Paul N. Whatmough, Chuteng Zhou, Patrick Hansen, Shreyas Kolala Venkataramanaiah, Jae-sun Seo, Matthew Mattina

* 10 pages, 8 figures, paper accepted at SysML2019 conference 

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