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Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers


Aug 22, 2022
Alexander Wong, Mohammad Javad Shafiee, Saad Abbasi, Saeejith Nair, Mahmoud Famouri


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MAPLE-X: Latency Prediction with Explicit Microprocessor Prior Knowledge


May 25, 2022
Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee

* 6 pages, 4 figures 

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MAPLE-Edge: A Runtime Latency Predictor for Edge Devices


Apr 27, 2022
Saeejith Nair, Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee

* 9 pages 

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CellDefectNet: A Machine-designed Attention Condenser Network for Electroluminescence-based Photovoltaic Cell Defect Inspection


Apr 25, 2022
Carol Xu, Mahmoud Famouri, Gautam Bathla, Saeejith Nair, Mohammad Javad Shafiee, Alexander Wong

* 6 pages 

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LightDefectNet: A Highly Compact Deep Anti-Aliased Attention Condenser Neural Network Architecture for Light Guide Plate Surface Defect Detection


Apr 25, 2022
Carol Xu, Mahmoud Famouri, Gautam Bathla, Mohammad Javad Shafiee, Alexander Wong

* 5 pages 

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COVID-Net Biochem: An Explainability-driven Framework to Building Machine Learning Models for Predicting Survival and Kidney Injury of COVID-19 Patients from Clinical and Biochemistry Data


Apr 24, 2022
Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, Adrian Florea, Andrew Hryniowski, Alexander Wong


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MAPLE: Microprocessor A Priori for Latency Estimation


Nov 30, 2021
Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee

* 11 pages, 3 figures 

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TinyDefectNet: Highly Compact Deep Neural Network Architecture for High-Throughput Manufacturing Visual Quality Inspection


Nov 29, 2021
Mohammad Javad Shafiee, Mahmoud Famouri, Gautam Bathla, Francis Li, Alexander Wong

* 6 pages 

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MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis


Oct 12, 2021
Hossein Aboutalebi, Maya Pavlova, Hayden Gunraj, Mohammad Javad Shafiee, Ali Sabri, Amer Alaref, Alexander Wong


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