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A Photonics-Inspired Compact Network: Toward Real-Time AI Processing in Communication Systems

IEEE journal of selected topics in quantum electronics, 2022-07, Vol.28 (4: Mach. Learn. in Photon. Commun. and Meas. Syst.), p.1-17

2022

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Compact and progressive network for enhanced single image super-resolution—ComPrESRNet

The Visual computer, 2022-11, Vol.38 (11), p.3643-3665

2022

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Robust, automated sleep scoring by a compact neural network with distributional shift correction

PloS one, 2019-12, Vol.14 (12), p.e0224642-e0224642

2019

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Deep Belief Networks Are Compact Universal Approximators

Neural computation, 2010-08, Vol.22 (8), p.2192-2207

2010

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SCANN: Synthesis of Compact and Accurate Neural Networks

IEEE transactions on computer-aided design of integrated circuits and systems, 2022-09, Vol.41 (9), p.3012-3025

2022

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A Functional Spiking Neural Network of Ultra Compact Neurons

Frontiers in neuroscience, 2021-02, Vol.15, p.635098-635098

2021

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On Optimizing the Structure of Neural Networks Through a Compact Codification of Their Architecture

Metaheuristics, 2023, Vol.13838, p.133-142

2023

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Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey

Proceedings of the IEEE, 2020-04, Vol.108 (4), p.485-532

2020

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Generative adversarial networks (GAN) for compact beam source modelling in Monte Carlo simulations

Physics in medicine & biology, 2019-10, Vol.64 (21), p.215004-215004

2019

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A Compact Network Model for Learning in Distribution Space

Li, Kou Khor Connie

2020

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An Evolutionary Approach to Compact DAG Neural Network Optimization

IEEE access, 2019, Vol.7, p.178331-178341

2019

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Compact Convolutional Neural Network Accelerator for IoT Endpoint SoC

Electronics (Basel), 2019-05, Vol.8 (5), p.497

2019

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TUTOR: Training Neural Networks Using Decision Rules as Model Priors

IEEE transactions on computer-aided design of integrated circuits and systems, 2023-02, Vol.42 (2), p.483-496

2023

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Edge computing-based real-time passenger counting using a compact convolutional neural network

Neural computing & applications, 2020-05, Vol.32 (9), p.4919-4931

2020

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Tomato Leaf Disease Classification via Compact Convolutional Neural Networks with Transfer Learning and Feature Selection

Horticulturae, 2023-01, Vol.9 (2), p.149

Attallah, Omneya

2023

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Dual and Single Polarized SAR Image Classification Using Compact Convolutional Neural Networks

Remote sensing (Basel, Switzerland), 2019-06, Vol.11 (11), p.1340

2019

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Compact eternal diffractive neural network chip for extreme environments

Communications engineering, 2024-05, Vol.3 (1), p.64-9, Article 64

2024

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Defect detection in wrap film product using compact convolutional neural network

Artificial life and robotics, 2021-08, Vol.26 (3), p.360-366

2021

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Group-level Interpretation of Electroencephalography Signals Using Compact Convolutional Neural Networks

IEEE access, 2023-01, Vol.11, p.1-1

2023

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Community detection in complex networks using extended compact genetic algorithm

Soft computing (Berlin, Germany), 2013-06, Vol.17 (6), p.925-937

2013

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Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks

International journal of computer vision, 2020-09, Vol.128 (8-9), p.2049-2067

2020

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DDCNet-Multires: Effective Receptive Field Guided Multiresolution CNN for Dense Prediction

Neural processing letters, 2023-08, Vol.55 (4), p.4231-4255

2023

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Learning compact Markov logic networks with decision trees

Machine learning, 2012-12, Vol.89 (3), p.257-277

2012

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Blind Image Deblurring Using Compact Neural Networks

Richmond, Greig

2022

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An Efficient Inverse Modeling Method Using Translator-Inspired Neural Network and Dual-Annealing for a Compact WPT System

IEEE transactions on antennas and propagation, 2024-04, Vol.72 (4), p.3282-3291

2024

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A Photonics-Inspired Compact Network: Toward Real-Time AI Processing in Communication Systems

Compact and progressive network for enhanced single image super-resolution—ComPrESRNet

Robust, automated sleep scoring by a compact neural network with distributional shift correction

Deep Belief Networks Are Compact Universal Approximators

SCANN: Synthesis of Compact and Accurate Neural Networks

A Functional Spiking Neural Network of Ultra Compact Neurons

On Optimizing the Structure of Neural Networks Through a Compact Codification of Their Architecture

Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey

Generative adversarial networks (GAN) for compact beam source modelling in Monte Carlo simulations

A Compact Network Model for Learning in Distribution Space

An Evolutionary Approach to Compact DAG Neural Network Optimization

Compact Convolutional Neural Network Accelerator for IoT Endpoint SoC

TUTOR: Training Neural Networks Using Decision Rules as Model Priors

Edge computing-based real-time passenger counting using a compact convolutional neural network

Tomato Leaf Disease Classification via Compact Convolutional Neural Networks with Transfer Learning and Feature Selection

Dual and Single Polarized SAR Image Classification Using Compact Convolutional Neural Networks

Compact eternal diffractive neural network chip for extreme environments

Defect detection in wrap film product using compact convolutional neural network

Group-level Interpretation of Electroencephalography Signals Using Compact Convolutional Neural Networks

Community detection in complex networks using extended compact genetic algorithm

Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks

DDCNet-Multires: Effective Receptive Field Guided Multiresolution CNN for Dense Prediction

Learning compact Markov logic networks with decision trees

Blind Image Deblurring Using Compact Neural Networks

An Efficient Inverse Modeling Method Using Translator-Inspired Neural Network and Dual-Annealing for a Compact WPT System

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