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
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
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
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
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
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
Efficient Inference on Deep Neural Networks by Dynamic Representations and Decision Gates

Nov 06, 2018
Mohammad Saeed Shafiee, Mohammad Javad Shafiee, Alexander Wong

* 4 pages 

  Access Model/Code and Paper
MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign Classification

Oct 03, 2018
Alexander Wong, Mohammad Javad Shafiee, Michael St. Jules

* 11 pages 

  Access Model/Code and Paper
FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis

Sep 17, 2018
Alexander Wong, Mohammad Javad Shafiee, Brendan Chwyl, Francis Li

* 4 pages 

  Access Model/Code and Paper
Unsupervised Feature Learning Toward a Real-time Vehicle Make and Model Recognition

Jun 08, 2018
Amir Nazemi, Mohammad Javad Shafiee, Zohreh Azimifar, Alexander Wong

* 15 pages include 14 figures and 5 tables 

  Access Model/Code and Paper
Tiny SSD: A Tiny Single-shot Detection Deep Convolutional Neural Network for Real-time Embedded Object Detection

Feb 19, 2018
Alexander Wong, Mohammad Javad Shafiee, Francis Li, Brendan Chwyl

* 7 pages 

  Access Model/Code and Paper
StressedNets: Efficient Feature Representations via Stress-induced Evolutionary Synthesis of Deep Neural Networks

Jan 16, 2018
Mohammad Javad Shafiee, Brendan Chwyl, Francis Li, Rongyan Chen, Michelle Karg, Christian Scharfenberger, Alexander Wong


  Access Model/Code and Paper
SquishedNets: Squishing SqueezeNet further for edge device scenarios via deep evolutionary synthesis

Nov 20, 2017
Mohammad Javad Shafiee, Francis Li, Brendan Chwyl, Alexander Wong

* 4 pages 

  Access Model/Code and Paper
Discovery Radiomics via Evolutionary Deep Radiomic Sequencer Discovery for Pathologically-Proven Lung Cancer Detection

Oct 20, 2017
Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong

* 26 pages 

  Access Model/Code and Paper
Discovery Radiomics via Deep Multi-Column Radiomic Sequencers for Skin Cancer Detection

Sep 24, 2017
Mohammad Javad Shafiee, Alexander Wong


  Access Model/Code and Paper
Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video

Sep 18, 2017
Mohammad Javad Shafiee, Brendan Chywl, Francis Li, Alexander Wong


  Access Model/Code and Paper
The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations through Sexual Evolutionary Synthesis

Sep 07, 2017
Audrey Chung, Mohammad Javad Shafiee, Paul Fieguth, Alexander Wong

* 8 pages 

  Access Model/Code and Paper
Exploring the Imposition of Synaptic Precision Restrictions For Evolutionary Synthesis of Deep Neural Networks

Jul 01, 2017
Mohammad Javad Shafiee, Francis Li, Alexander Wong


  Access Model/Code and Paper
Evolution in Groups: A deeper look at synaptic cluster driven evolution of deep neural networks

Apr 07, 2017
Mohammad Javad Shafiee, Elnaz Barshan, Alexander Wong

* 8 pages. arXiv admin note: substantial text overlap with arXiv:1609.01360 

  Access Model/Code and Paper
Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction

Mar 28, 2017
Devinder Kumar, Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong

* 8 pages 

  Access Model/Code and Paper
Deep Learning with Darwin: Evolutionary Synthesis of Deep Neural Networks

Feb 06, 2017
Mohammad Javad Shafiee, Akshaya Mishra, Alexander Wong

* 5 pages 

  Access Model/Code and Paper
Evolutionary Synthesis of Deep Neural Networks via Synaptic Cluster-driven Genetic Encoding

Nov 22, 2016
Mohammad Javad Shafiee, Alexander Wong

* 5 pages 

  Access Model/Code and Paper
Noise-Compensated, Bias-Corrected Diffusion Weighted Endorectal Magnetic Resonance Imaging via a Stochastically Fully-Connected Joint Conditional Random Field Model

Jul 05, 2016
Ameneh Boroomand, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Alexander Wong

* 11 pages 

  Access Model/Code and Paper
Scene Invariant Crowd Segmentation and Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG)

Feb 01, 2016
Parthipan Siva, Mohammad Javad Shafiee, Mike Jamieson, Alexander Wong

* 9 pages 

  Access Model/Code and Paper
Sparse Reconstruction of Compressive Sensing MRI using Cross-Domain Stochastically Fully Connected Conditional Random Fields

Dec 25, 2015
Edward Li, Farzad Khalvati, Mohammad Javad Shafiee, Masoom A. Haider, Alexander Wong

* 9 pages 

  Access Model/Code and Paper
Domain Adaptation and Transfer Learning in StochasticNets

Dec 18, 2015
Mohammad Javad Shafiee, Parthipan Siva, Paul Fieguth, Alexander Wong

* Vision Letters, Vol. 1, No. 1, pp. VL115, 2015 

  Access Model/Code and Paper
Efficient Deep Feature Learning and Extraction via StochasticNets

Dec 11, 2015
Mohammad Javad Shafiee, Parthipan Siva, Paul Fieguth, Alexander Wong

* 10 pages. arXiv admin note: substantial text overlap with arXiv:1508.05463 

  Access Model/Code and Paper
Discovery Radiomics via StochasticNet Sequencers for Cancer Detection

Nov 11, 2015
Mohammad Javad Shafiee, Audrey G. Chung, Devinder Kumar, Farzad Khalvati, Masoom Haider, Alexander Wong

* 3 pages 

  Access Model/Code and Paper