Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices

Aug 11, 2020
Alexander Wong, Mahmoud Famouri, Maya Pavlova, Siddharth Surana

* 8 pages 

  Access Model/Code and Paper
Vulnerability Under Adversarial Machine Learning: Bias or Variance?

Aug 01, 2020
Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong

* 18 pages 

  Access Model/Code and Paper
Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing

Jul 22, 2020
Ashkan Ebadi, Pengcheng Xi, Stéphane Tremblay, Bruce Spencer, Raman Pall, Alexander Wong


  Access Model/Code and Paper
Quantization in Relative Gradient Angle Domain For Building Polygon Estimation

Jul 10, 2020
Yuhao Chen, Yifan Wu, Linlin Xu, Alexander Wong


  Access Model/Code and Paper
EmotionNet Nano: An Efficient Deep Convolutional Neural Network Design for Real-time Facial Expression Recognition

Jun 29, 2020
James Ren Hou Lee, Linda Wang, Alexander Wong

* 9 pages 

  Access Model/Code and Paper
Towards computer-aided severity assessment: training and validation of deep neural networks for geographic extent and opacity extent scoring of chest X-rays for SARS-CoV-2 lung disease severity

May 27, 2020
Alexander Wong, Zhong Qiu Lin, Linda Wang, Audrey G. Chung, Beiyi Shen, Almas Abbasi, Mahsa Hoshmand-Kochi, Timothy Q. Duong

* 7 pages 

  Access Model/Code and Paper
DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for Monocular Depth Estimation

Apr 17, 2020
Linda Wang, Mahmoud Famouri, Alexander Wong

* 9 pages 

  Access Model/Code and Paper
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images

Apr 15, 2020
Linda Wang, Alexander Wong

* 9 pages 

  Access Model/Code and Paper
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest Radiography Images

Mar 30, 2020
Linda Wang, Alexander Wong

* 7 pages 

  Access Model/Code and Paper
Deep Neural Network Perception Models and Robust Autonomous Driving Systems

Mar 04, 2020
Mohammad Javad Shafiee, Ahmadreza Jeddi, Amir Nazemi, Paul Fieguth, Alexander Wong


  Access Model/Code and Paper
TimeConvNets: A Deep Time Windowed Convolution Neural Network Design for Real-time Video Facial Expression Recognition

Mar 03, 2020
James Ren Hou Lee, Alexander Wong

* 8 pages, 3 figures 

  Access Model/Code and Paper
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness

Mar 03, 2020
Ahmadreza Jeddi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong

* 13 pages, 6 figures To be published in proceedings of IEEE conference on Computer Vision and Pattern Recognition (CVPR 2020) 

  Access Model/Code and Paper
Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis

Jan 14, 2020
Devinder Kumar, Parthipan Siva, Paul Marchwica, Alexander Wong


  Access Model/Code and Paper
Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification

Jan 10, 2020
Chris Dulhanty, Alexander Wong

* 2020 AAAI/ACM Conference on AI, Ethics, and Society (AIES 20) | V2 updated latex character rendering issues 

  Access Model/Code and Paper
Taking a Stance on Fake News: Towards Automatic Disinformation Assessment via Deep Bidirectional Transformer Language Models for Stance Detection

Nov 27, 2019
Chris Dulhanty, Jason L. Deglint, Ibrahim Ben Daya, Alexander Wong

* Accepted to the AI for Social Good Workshop at NeurIPS 2019 

  Access Model/Code and Paper
DeepLABNet: End-to-end Learning of Deep Radial Basis Networks with Fully Learnable Basis Functions

Nov 21, 2019
Andrew Hryniowski, Alexander Wong

* 10 pages 

  Access Model/Code and Paper
Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms

Oct 29, 2019
Zhong Qiu Lin, Mohammad Javad Shafiee, Stanislav Bochkarev, Michael St. Jules, Xiao Yu Wang, Alexander Wong

* 9 pages 

  Access Model/Code and Paper
Fully-Automatic Semantic Segmentation for Food Intake Tracking in Long-Term Care Homes

Oct 24, 2019
Kaylen J Pfisterer, Robert Amelard, Audrey G Chung, Braeden Syrnyk, Alexander MacLean, Alexander Wong


  Access Model/Code and Paper
Explaining with Impact: A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms

Oct 16, 2019
Zhong Qiu Lin, Mohammad Javad Shafiee, Stanislav Bochkarev, Michael St. Jules, Xiao Yu Wang, Alexander Wong

* 9 pages 

  Access Model/Code and Paper
State of Compact Architecture Search For Deep Neural Networks

Oct 15, 2019
Mohammad Javad Shafiee, Andrew Hryniowski, Francis Li, Zhong Qiu Lin, Alexander Wong

* 6 pages 

  Access Model/Code and Paper
YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection

Oct 03, 2019
Alexander Wong, Mahmoud Famuori, Mohammad Javad Shafiee, Francis Li, Brendan Chwyl, Jonathan Chung

* 5 pages 

  Access Model/Code and Paper
Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks for Autonomous Driving

Sep 12, 2019
Mohammad Javad Shafiee, Mirko Nentwig, Yohannes Kassahun, Francis Li, Stanislav Bochkarev, Akif Kamal, David Dolson, Secil Altintas, Arif Virani, Alexander Wong

* 7 pages; BMVC Workshop on Visual AI and Entrepreneurship (VAIE) 

  Access Model/Code and Paper
Squeeze-and-Attention Networks for Semantic Segmentation

Sep 10, 2019
Zilong Zhong, Zhong Qiu Lin, Rene Bidart, Xiaodan Hu, Ibrahim Ben Daya, Jonathan Li, Alexander Wong


  Access Model/Code and Paper
Fairest of Them All: Establishing a Strong Baseline for Cross-Domain Person ReID

Jul 28, 2019
Devinder Kumar, Parthipan Siva, Paul Marchwica, Alexander Wong


  Access Model/Code and Paper
Auditing ImageNet: Towards a Model-driven Framework for Annotating Demographic Attributes of Large-Scale Image Datasets

Jun 04, 2019
Chris Dulhanty, Alexander Wong

* To appear in the Workshop on Fairness Accountability Transparency and Ethics in Computer Vision (FATE CV) at CVPR 2019 

  Access Model/Code and Paper
Food for thought: Ethical considerations of user trust in computer vision

May 29, 2019
Kaylen J. Pfisterer, Jennifer Boger, Alexander Wong

* Accepted to CVPR2019: Fairness Accountability Transparency and Ethics in Computer Vision Workshop 

  Access Model/Code and Paper
Seeing Convolution Through the Eyes of Finite Transformation Semigroup Theory: An Abstract Algebraic Interpretation of Convolutional Neural Networks

May 26, 2019
Andrew Hryniowski, Alexander Wong

* 9 pages 

  Access Model/Code and Paper