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FermiNets: Learning generative machines to generate efficient neural
  networks via generative synthesis

FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis

17 September 2018
A. Wong
M. Shafiee
Brendan Chwyl
Francis Li
ArXivPDFHTML

Papers citing "FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis"

15 / 15 papers shown
Title
TurboViT: Generating Fast Vision Transformers via Generative
  Architecture Search
TurboViT: Generating Fast Vision Transformers via Generative Architecture Search
Alexander Wong
Saad Abbasi
Saeejith Nair
ViT
33
1
0
22 Aug 2023
Systematic Architectural Design of Scale Transformed Attention Condenser
  DNNs via Multi-Scale Class Representational Response Similarity Analysis
Systematic Architectural Design of Scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Similarity Analysis
Andrew Hryniowski
Alexander Wong
23
0
0
16 Jun 2023
High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate
  Surface Visual Quality Inspection Tailored for Real-World Manufacturing
  Environments
High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments
Carol Xu
M. Famouri
Gautam Bathla
M. Shafiee
Alexander Wong
26
2
0
20 Dec 2022
LightDefectNet: A Highly Compact Deep Anti-Aliased Attention Condenser
  Neural Network Architecture for Light Guide Plate Surface Defect Detection
LightDefectNet: A Highly Compact Deep Anti-Aliased Attention Condenser Neural Network Architecture for Light Guide Plate Surface Defect Detection
Carol Xu
M. Famouri
Gautam Bathla
M. Shafiee
Alexander Wong
33
1
0
25 Apr 2022
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
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
Alexander MacLean
Saad Abbasi
Ashkan Ebadi
Andy Zhao
Maya Pavlova
Hayden Gunraj
Pengcheng Xi
S. Kohli
Alexander Wong
17
9
0
05 Aug 2021
COVID-Net CXR-S: Deep Convolutional Neural Network for Severity
  Assessment of COVID-19 Cases from Chest X-ray Images
COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images
Hossein Aboutalebi
Maya Pavlova
M. Shafiee
A. Sabri
Amer Alaref
Alexander Wong
21
32
0
01 May 2021
AttendSeg: A Tiny Attention Condenser Neural Network for Semantic
  Segmentation on the Edge
AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge
Xiaoyue Wen
M. Famouri
Andrew Hryniowski
Alexander Wong
SSeg
13
7
0
29 Apr 2021
OutlierNets: Highly Compact Deep Autoencoder Network Architectures for
  On-Device Acoustic Anomaly Detection
OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection
Saad Abbasi
M. Famouri
M. Shafiee
A. Wong
24
25
0
31 Mar 2021
Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for
  Prediction of Pulmonary Fibrosis Progression from Chest CT Images
Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression from Chest CT Images
A. Wong
Jack Lu
Adam Dorfman
Paul McInnis
M. Famouri
Daniel Manary
J. Lee
Michael Lynch
AI4CE
20
18
0
06 Mar 2021
EmotionNet Nano: An Efficient Deep Convolutional Neural Network Design
  for Real-time Facial Expression Recognition
EmotionNet Nano: An Efficient Deep Convolutional Neural Network Design for Real-time Facial Expression Recognition
J. Lee
Linda Wang
A. Wong
CVBM
31
38
0
29 Jun 2020
Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia
  Cases at the Era of COVID-19
Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19
K. Hammoudi
H. Benhabiles
Mahmoud Melkemi
Fadi Dornaika
Ignacio Arganda-Carreras
Dominique Collard
A. Scherpereel
39
171
0
05 Apr 2020
Do Explanations Reflect Decisions? A Machine-centric Strategy to
  Quantify the Performance of Explainability Algorithms
Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms
Z. Q. Lin
M. Shafiee
S. Bochkarev
Michael St. Jules
Xiao Yu Wang
A. Wong
FAtt
29
80
0
16 Oct 2019
EdgeSegNet: A Compact Network for Semantic Segmentation
EdgeSegNet: A Compact Network for Semantic Segmentation
Z. Q. Lin
Brendan Chwyl
A. Wong
SSeg
22
9
0
10 May 2019
Democratisation of Usable Machine Learning in Computer Vision
Democratisation of Usable Machine Learning in Computer Vision
R. Bond
A. Koene
A. Dix
J. Boger
M. Mulvenna
M. Galushka
Brendon Bradley
Fiona Browne
Hui Wang
A. Wong
22
6
0
18 Feb 2019
Progressive Label Distillation: Learning Input-Efficient Deep Neural
  Networks
Progressive Label Distillation: Learning Input-Efficient Deep Neural Networks
Z. Q. Lin
A. Wong
22
1
0
26 Jan 2019
1