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Where Did You Learn That From? Surprising Effectiveness of Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning


Sep 08, 2021
Maziar Gomrokchi, Susan Amin, Hossein Aboutalebi, Alexander Wong, Doina Precup


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COVID-Net US: A Tailored, Highly Efficient, Self-Attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-care Ultrasound Imaging


Aug 05, 2021
Alexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong

* 12 pages 

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LexSubCon: Integrating Knowledge from Lexical Resources into Contextual Embeddings for Lexical Substitution


Jul 11, 2021
George Michalopoulos, Ian McKillop, Alexander Wong, Helen Chen

* 11 pages, 1 figure 

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Does Form Follow Function? An Empirical Exploration of the Impact of Deep Neural Network Architecture Design on Hardware-Specific Acceleration


Jul 08, 2021
Saad Abbasi, Mohammad Javad Shafiee, Ellick Chan, Alexander Wong

* 8 pages 

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SALT: Sea lice Adaptive Lattice Tracking -- An Unsupervised Approach to Generate an Improved Ocean Model


Jun 24, 2021
Ju An Park, Vikram Voleti, Kathryn E. Thomas, Alexander Wong, Jason L. Deglint

* 5 pages, 3 figures, 3 tables 

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Residual Error: a New Performance Measure for Adversarial Robustness


Jun 18, 2021
Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong


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Insights into Data through Model Behaviour: An Explainability-driven Strategy for Data Auditing for Responsible Computer Vision Applications


Jun 16, 2021
Alexander Wong, Adam Dorfman, Paul McInnis, Hayden Gunraj

* 4 pages 

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DeepDarts: Modeling Keypoints as Objects for Automatic Scorekeeping in Darts using a Single Camera


May 20, 2021
William McNally, Pascale Walters, Kanav Vats, Alexander Wong, John McPhee


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COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images


May 14, 2021
Maya Pavlova, Naomi Terhljan, Audrey G. Chung, Andy Zhao, Siddharth Surana, Hossein Aboutalebi, Hayden Gunraj, Ali Sabri, Amer Alaref, Alexander Wong

* 12 pages. arXiv admin note: text overlap with arXiv:2105.00256 

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COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach


May 04, 2021
Jianxing Zhang, Pengcheng Xi, Ashkan Ebadi, Hilda Azimi, Stephane Tremblay, Alexander Wong

* Accepted to ICLR 2021 Workshop: Machine Learning for Preventing and Combating Pandemics 

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COVID-Net CT-S: 3D Convolutional Neural Network Architectures for COVID-19 Severity Assessment using Chest CT Images


May 04, 2021
Hossein Aboutalebi, Saad Abbasi, Mohammad Javad Shafiee, Alexander Wong


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COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images


May 01, 2021
Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, Ali Sabri, Amer Alaref, Alexander Wong


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AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge


Apr 29, 2021
Xiaoyu Wen, Mahmoud Famouri, Andrew Hryniowski, Alexander Wong

* 5 pages 

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Do All MobileNets Quantize Poorly? Gaining Insights into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-scale Distributional Dynamics


Apr 24, 2021
Stone Yun, Alexander Wong

* Accepted for publication in Mobile AI (MAI) Workshop 2021 at CVPR 

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Localization of Ice-Rink for Broadcast Hockey Videos


Apr 22, 2021
Mehrnaz Fani, Pascale Berunelle Walters, David A. Clausi, John Zelek, Alexander Wong

* 6 pages, 2 figures, Poster in WiCV2021 

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OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection


Apr 19, 2021
Saad Abbasi, Mahmoud Famouri, Mohammad Javad Shafiee, Alexander Wong

* 7 pages 

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TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases from Chest X-ray Images


Apr 14, 2021
Alexander Wong, James Ren Hou Lee, Hadi Rahmat-Khah, Ali Sabri, Amer Alaref

* 10 pages 

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COVIDx-US -- An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics


Mar 18, 2021
Ashkan Ebadi, Pengcheng Xi, Alexander MacLean, Stéphane Tremblay, Sonny Kohli, Alexander Wong

* 12 pages, 5 figures, to be submitted to Nature Scientific Data 

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Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression from Chest CT Images


Mar 06, 2021
Alexander Wong, Jack Lu, Adam Dorfman, Paul McInnis, Mahmoud Famouri, Daniel Manary, James Ren Hou Lee, Michael Lynch

* 10 pages 

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COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse Learning


Jan 26, 2021
Hayden Gunraj, Ali Sabri, David Koff, Alexander Wong

* 15 pages 

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A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning


Dec 25, 2020
Ahmadreza Jeddi, Mohammad Javad Shafiee, Alexander Wong


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Inter-layer Information Similarity Assessment of Deep Neural Networks Via Topological Similarity and Persistence Analysis of Data Neighbour Dynamics


Dec 07, 2020
Andrew Hryniowski, Alexander Wong

* 6 pages 

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FactorizeNet: Progressive Depth Factorization for Efficient Network Architecture Exploration Under Quantization Constraints


Nov 30, 2020
Stone Yun, Alexander Wong

* Accepted for Publication at the 2020 Workshop on Energy Efficient Machine Learning and Cognitive Computing (EMC2 2020) 

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Where Should We Begin? A Low-Level Exploration of Weight Initialization Impact on Quantized Behaviour of Deep Neural Networks


Nov 30, 2020
Stone Yun, Alexander Wong

* Accepted for publication at the 6th Annual Conference on Computer Vision and Intelligent Systems (CVIS2020) 

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CancerNet-SCa: Tailored Deep Neural Network Designs for Detection of Skin Cancer from Dermoscopy Images


Nov 21, 2020
James Ren Hou Lee, Maya Pavlova, Mahmoud Famouri, Alexander Wong

* 8 pages 

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EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation using Neuroevolution


Nov 17, 2020
William McNally, Kanav Vats, Alexander Wong, John McPhee


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Identifying and interpreting tuning dimensions in deep networks


Nov 05, 2020
Nolan S. Dey, J. Eric Taylor, Bryan P. Tripp, Alexander Wong, Graham W. Taylor

* 14 pages, 12 figures, Shared Visual Representations in Human & Machine Intelligence NeurIPS Workshop 2020 

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