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

17 September 2018

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

40 / 40 papers shown

Title
Micro-Fracture Detection in Photovoltaic Cells with Hardware-Constrained Devices and Computer Vision Booy Vitas Faassen Jorge Serrano P. Rosero-Montalvo 61 0 0 08 Mar 2024
NAS-NeRF: Generative Neural Architecture Search for Neural Radiance Fields Saeejith Nair Yuhao Chen M. Shafiee Alexander Wong 43 1 0 25 Sep 2023
TurboViT: Generating Fast Vision Transformers via Generative Architecture Search Alexander Wong Saad Abbasi Saeejith Nair ViT 62 1 0 22 Aug 2023
Systematic Architectural Design of Scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Similarity Analysis Andrew Hryniowski Alexander Wong 52 0 0 16 Jun 2023
Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge Alexander Wong Yifan Wu Saad Abbasi Saeejith Nair Yuhao Chen M. Shafiee 53 14 0 21 Apr 2023
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 67 2 0 20 Dec 2022
Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers Alexander Wong M. Shafiee Saad Abbasi Saeejith Nair M. Famouri 51 6 0 15 Aug 2022
COVID-Net US-X: Enhanced Deep Neural Network for Detection of COVID-19 Patient Cases from Convex Ultrasound Imaging Through Extended Linear-Convex Ultrasound Augmentation Learning E. Z. Zeng A. Florea Alexander Wong 43 0 0 29 Apr 2022
CellDefectNet: A Machine-designed Attention Condenser Network for Electroluminescence-based Photovoltaic Cell Defect Inspection Carol Xu M. Famouri Gautam Bathla Saeejith Nair M. Shafiee Alexander Wong 136 4 0 25 Apr 2022
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 74 1 0 25 Apr 2022
TinyDefectNet: Highly Compact Deep Neural Network Architecture for High-Throughput Manufacturing Visual Quality Inspection M. Shafiee M. Famouri Gautam Bathla Francis Li Alexander Wong 54 3 0 29 Nov 2021
COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow A. Chung Maya Pavlova Hayden Gunraj Naomi Terhljan Alexander MacLean Hossein Aboutalebi Siddharth Surana Andy Zhao Saad Abbasi Alexander Wong 40 2 0 14 Sep 2021
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 57 9 0 05 Aug 2021
COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images Maya Pavlova Naomi Terhljan A. Chung Andy Zhao Siddharth Surana Hossein Aboutalebi Hayden Gunraj A. Sabri Amer Alaref Alexander Wong 54 46 0 14 May 2021
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 68 33 0 01 May 2021
AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge Xiaoyue Wen M. Famouri Andrew Hryniowski Alexander Wong SSeg 60 7 0 29 Apr 2021
TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases from Chest X-ray Images Alexander Wong J. Lee Hadi Rahmat-Khah A. Sabri Amer Alaref LM&MA 60 34 0 06 Apr 2021
OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection Saad Abbasi M. Famouri M. Shafiee A. Wong 70 26 0 31 Mar 2021
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 65 18 0 06 Mar 2021
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse Learning Hayden Gunraj A. Sabri D. Koff A. Wong 118 99 0 19 Jan 2021
CancerNet-SCa: Tailored Deep Neural Network Designs for Detection of Skin Cancer from Dermoscopy Images J. Lee Maya Pavlova M. Famouri A. Wong 84 28 0 21 Nov 2020
AttendNets: Tiny Deep Image Recognition Neural Networks for the Edge via Visual Attention Condensers A. Wong M. Famouri M. Shafiee 66 20 0 30 Sep 2020
COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Images Hayden Gunraj Linda Wang A. Wong OOD 75 208 0 08 Sep 2020
TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices A. Wong M. Famouri Maya Pavlova Siddharth Surana 126 33 0 10 Aug 2020
EmotionNet Nano: An Efficient Deep Convolutional Neural Network Design for Real-time Facial Expression Recognition J. Lee Linda Wang A. Wong CVBM 54 38 0 29 Jun 2020
DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for Monocular Depth Estimation Linda Wang M. Famouri A. Wong MDE 29 7 0 17 Apr 2020
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 89 178 0 05 Apr 2020
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images Linda Wang A. Wong OOD 205 2,516 0 22 Mar 2020
DeepLABNet: End-to-end Learning of Deep Radial Basis Networks with Fully Learnable Basis Functions Andrew Hryniowski A. Wong 69 10 0 21 Nov 2019
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 83 81 0 16 Oct 2019
State of Compact Architecture Search For Deep Neural Networks M. Shafiee Andrew Hryniowski Francis Li Z. Q. Lin A. Wong 32 2 0 15 Oct 2019
YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection A. Wong M. Famouri M. Shafiee Muqun Li Brendan Chwyl Khaldoun Zine El Abidine ObjD 54 110 0 03 Oct 2019
Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks for Autonomous Driving M. Shafiee M. Nentwig Y. Kassahun Francis Li S. Bochkarev Akif Kamal D. Dolson Secil Altintas Arif Virani A. Wong 64 3 0 12 Sep 2019
Seeing Convolution Through the Eyes of Finite Transformation Semigroup Theory: An Abstract Algebraic Interpretation of Convolutional Neural Networks Andrew Hryniowski A. Wong 48 0 0 26 May 2019
EdgeSegNet: A Compact Network for Semantic Segmentation Z. Q. Lin Brendan Chwyl A. Wong SSeg 49 9 0 10 May 2019
AttoNets: Compact and Efficient Deep Neural Networks for the Edge via Human-Machine Collaborative Design A. Wong Z. Q. Lin Brendan Chwyl HAI 57 14 0 18 Mar 2019
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 29 6 0 18 Feb 2019
Progressive Label Distillation: Learning Input-Efficient Deep Neural Networks Z. Q. Lin A. Wong 24 1 0 26 Jan 2019
PolyNeuron: Automatic Neuron Discovery via Learned Polyharmonic Spline Activations Andrew Hryniowski A. Wong 10 1 0 10 Nov 2018
EdgeSpeechNets: Highly Efficient Deep Neural Networks for Speech Recognition on the Edge Z. Q. Lin A. Chung A. Wong 74 35 0 18 Oct 2018