DarwinAI: Evolving the way we build A.I.
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INSPIRING RESEARCH.

arXiv 2018
NetScore: Towards Universal Metrics for Large-scale Performance Analysis of Deep Neural Networks for Practical On-Device Edge Usage

Authors: A. Wong

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arXiv 2018
μNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign Classification

Authors: A. Wong, M. Shafiee, M. St. Jules

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CRV 2018
Tiny SSD: A Tiny Single-shot Detection Convolutional Neural Network for Real-time Embedded Object Detection

Authors: A. Wong, M. Shafiee, F. Li, B. Chwyl

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CRV 2018
Nature vs. Nurture: The Role of Environmental Resources on Evolutionary Deep Intelligence

Authors: A. Chung, P. Fieguth, A. Wong

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NIPS 2017 - Best Paper Award
CLEAR-DR: Interpretable Computer Aided Diagnosis of Diabetic Retinopathy

Authors: D. Kumar, G. Taylor, A. Wong
Best Paper Award - NIPS Workshop on Transparent and interpretable Machine Learning in Safety Critical Environments 

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NIPS 2017
SquishedNets: Squishing SqueezeNet further for edge device scenarios via deep evolutionary synthesis

Authors: M. Shafiee, F. Li, B. Chwyl, A. Wong
Featured on CNA's "AI on AI" Show

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ICCV 2017
The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations through Sexual Evolutionary Synthesis

Authors: A. Chung, M. Shafiee, P. Fieguth, A. Wong

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JCVIS 2017
Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video

Authors: M. Shafiee, B. Chwyl, F. Li, A. Wong

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JCVIS 2017 - Best Paper Award
Polyploidism in Deep Neural Networks: m-Parent Evolutionary Synthesis of Deep Neural Networks in Varying Population Sizes

Authors: A. Chung, P. Fieguth, A. Wong
Best Vision Paper Award

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JCVIS 2017
Opening the Black Box of Financial AI with CLEAR-Trade: A CLass-Enhanced Attentive Response Approach for Explaining and Visualizing Deep Learning-Driven Stock Market Prediction

Authors: D. Kumar, G. Taylor, A. Wong

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CCN 2017
Exploring the Imposition of Synaptic Precision Restrictions For Evolutionary Synthesis of Deep Neural Networks

Authors: M. Shafiee, F. Li, A. Wong

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FTC 2017
Evolution in Groups: A deeper look at synaptic cluster driven evolution of deep neural networks

Authors: M. Shafiee, E. Barshan, A. Wong 

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SPIE JMI 2017
Discovery Radiomics via Evolutionary Deep Radiomic Sequencer Discovery for Pathologically-Proven Lung Cancer Detection

Authors: M. Shafiee, A. Chung, F. Khalvati, M. Haider, A. Wong 

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NIPS 2016 - Best Paper Award
Evolutionary Synthesis of Deep Neural Networks via Synaptic Cluster-driven Genetic Encoding

Authors: M. Shafiee, A. Wong
Best Paper Award - NIPS Workshop on Efficient Methods for Deep Neural Networks 

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Neural Processing Letters 2016 - The Best of the Physics arXiv
Deep Learning with Darwin: Evolutionary Synthesis of Deep Neural Networks

Authors: M. Shafiee, A. Mishra, A. Wong
Chosen by MIT Technology Review as one of the most interesting and thought-provoking papers from the Physics arXiv for the week of June 25, 2016

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CVPR 2016
Efficient Deep Feature Learning and Extraction via StochasticNets

Authors: M. Shafiee, P. Siva, P. Fieguth, A. Wong 

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NIPS 2015
Discovery Radiomics via StochasticNet Sequencers for Cancer Detection

Authors: M. Shafiee, A. Chung, D. Kumar, F. Khalvati, M. Haider, A. Wong 

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