An Analysis of Deep Neural Network Models for Practical Applications

24 May 2016

Papers citing "An Analysis of Deep Neural Network Models for Practical Applications"

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Title
Green Prompting Marta Adamska Daria Smirnova Hamid Nasiri Zhengxin Yu Peter Garraghan 135 0 0 09 Mar 2025
Unity RL Playground: A Versatile Reinforcement Learning Framework for Mobile Robots Linqi Ye Rankun Li Xiaowen Hu Jiayi Li Boyang Xing Yan Peng Bin Liang 57 0 0 07 Mar 2025
ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification Mridula Vijendran Frederick W. B. Li Jingjing Deng Hubert P. H. Shum 48 0 0 03 Aug 2024
UnifiedNN: Efficient Neural Network Training on the Cloud Xingyu Lou Arthi Padmanabhan Spyridon Mastorakis FedML 38 0 0 02 Aug 2024
BOLD: Boolean Logic Deep Learning Van Minh Nguyen Cristian Ocampo Aymen Askri Louis Leconte Ba-Hien Tran AI4CE 32 0 0 25 May 2024
A Lightweight Attention-based Deep Network via Multi-Scale Feature Fusion for Multi-View Facial Expression Recognition Ali Ezati Mohammadreza Dezyani Rajib Rana Roozbeh Rajabi Ahmad Ayatollahi CVBM 17 1 0 21 Mar 2024
MFCC-GAN Codec: A New AI-based Audio Coding Mohammad Reza Hasanabadi 14 0 0 22 Oct 2023
Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers Tobias Christian Nauen Sebastián M. Palacio Federico Raue Andreas Dengel 37 3 0 18 Aug 2023
Online Learning for the Random Feature Model in the Student-Teacher Framework Roman Worschech B. Rosenow 36 0 0 24 Mar 2023
$$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks$ $\rm A^2Q$ : Aggregation-Aware Quantization for Graph Neural Networks Zeyu Zhu Fanrong Li Zitao Mo Qinghao Hu Gang Li Zejian Liu Xiaoyao Liang Jian Cheng GNN MQ 12 4 0 01 Feb 2023
SplitGP: Achieving Both Generalization and Personalization in Federated Learning Dong-Jun Han Do-Yeon Kim Minseok Choi Christopher G. Brinton Jaekyun Moon FedML 15 31 0 16 Dec 2022
A Fair Loss Function for Network Pruning Robbie Meyer Alexander Wong CVBM 19 3 0 18 Nov 2022
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware H. Hashemi Yongqin Wang M. Annavaram FedML 15 58 0 30 Jun 2022
Efficient Deep Learning Methods for Identification of Defective Casting Products B. Bolla Mohan Kingam Sabeesh Ethiraj 23 5 0 14 May 2022
Equine radiograph classification using deep convolutional neural networks Raniere Silva A. P. Mishra Christopher Riggs M. Doube MedIm 6 3 0 29 Apr 2022
Testing Feedforward Neural Networks Training Programs Houssem Ben Braiek Foutse Khomh AAML 11 14 0 01 Apr 2022
On the in vivo recognition of kidney stones using machine learning F. Lopez-Tiro V. Estrade Jacques Hubert Daniel Flores-Araiza M. González-Mendoza Gilberto Ochoa C. Daul 27 27 0 21 Jan 2022
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design Sung Une Lee Boming Xia Yongan Zhang Ang Li Yingyan Lin GNN 47 47 0 22 Dec 2021
Approximation of functions with one-bit neural networks C. S. Güntürk Weilin Li 17 8 0 16 Dec 2021
Implementation of a Binary Neural Network on a Passive Array of Magnetic Tunnel Junctions Jonathan M. Goodwill N. Prasad Brian D. Hoskins M. Daniels A. Madhavan ... M. Tran J. Katine Patrick M. Braganca M. D. Stiles Jabez J. McClelland 31 10 0 16 Dec 2021
Computational bioacoustics with deep learning: a review and roadmap D. Stowell 30 235 0 13 Dec 2021
Mixing Deep Learning and Multiple Criteria Optimization: An Application to Distributed Learning with Multiple Datasets D. Torre D. Liuzzi M. Repetto M. Rocca 13 1 0 02 Dec 2021
Silicon Photonic Architecture for Training Deep Neural Networks with Direct Feedback Alignment M. Filipovich Zhimu Guo M. Al-Qadasi Bicky A. Marquez Hugh Morison V. Sorger Paul R. Prucnal S. Shekhar B. Shastri 20 52 0 12 Nov 2021
Survey of Deep Learning Methods for Inverse Problems S. Kamyab Zihreh Azimifar Rasool Sabzi Paul Fieguth 11 3 0 07 Nov 2021
Cascaded Classifier for Pareto-Optimal Accuracy-Cost Trade-Off Using off-the-Shelf ANNs Cecilia Latotzke Johnson Loh T. Gemmeke 19 0 0 27 Oct 2021
VAC-CNN: A Visual Analytics System for Comparative Studies of Deep Convolutional Neural Networks Xiwei Xuan Xiaoyu Zhang Oh-Hyun Kwon K. Ma HAI 10 17 0 25 Oct 2021
CADA: Multi-scale Collaborative Adversarial Domain Adaptation for Unsupervised Optic Disc and Cup Segmentation Peng Liu Charlie Tran Bin Kong R. Fang 25 17 0 05 Oct 2021
Compute and Energy Consumption Trends in Deep Learning Inference Radosvet Desislavov Fernando Martínez-Plumed José Hernández Orallo 10 113 0 12 Sep 2021
Mitigating severe over-parameterization in deep convolutional neural networks through forced feature abstraction and compression with an entropy-based heuristic Nidhi Gowdra R. Sinha Stephen G. MacDonell W. Yan 16 9 0 27 Jun 2021
Mobile Augmented Reality: User Interfaces, Frameworks, and Intelligence Jacky Cao Kit-Yung Lam Lik-Hang Lee Xiaoli Liu Pan Hui Xiang Su 22 84 0 16 Jun 2021
Privacy and Trust Redefined in Federated Machine Learning Pavlos Papadopoulos Will Abramson A. Hall Nikolaos Pitropakis William J. Buchanan 28 42 0 29 Mar 2021
Early-Bird GCNs: Graph-Network Co-Optimization Towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets Haoran You Zhihan Lu Zijian Zhou Y. Fu Yingyan Lin GNN 33 30 0 01 Mar 2021
Impact of Thermal Throttling on Long-Term Visual Inference in a CPU-based Edge Device Théo Benoit-Cattin Delia Velasco-Montero Jorge Fernández-Berni 11 25 0 13 Oct 2020
MCUNet: Tiny Deep Learning on IoT Devices Ji Lin Wei-Ming Chen Yujun Lin J. Cohn Chuang Gan Song Han 33 471 0 20 Jul 2020
MorphoCluster: Efficient Annotation of Plankton images by Clustering Simon-Martin Schroder R. Kiko Reinhard Koch 33 47 0 04 May 2020
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification Huanrui Yang Minxue Tang W. Wen Feng Yan Daniel Hu Ang Li H. Li Yiran Chen 31 62 0 20 Apr 2020
CBIR using features derived by Deep Learning S. Maji Smarajit Bose VLM 3DV 13 40 0 13 Feb 2020
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization Yiqiu Shen Nan Wu Jason Phang Jungkyu Park Kangning Liu ... Laura Heacock S. G. Kim Linda Moy Kyunghyun Cho Krzysztof J. Geras 14 168 0 13 Feb 2020
Compact recurrent neural networks for acoustic event detection on low-energy low-complexity platforms G. Cerutti Rahul Prasad A. Brutti Elisabetta Farella 13 47 0 29 Jan 2020
Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition S. Raschka Benjamin Kaufman AI4CE 11 67 0 17 Jan 2020
Transfer learning in hybrid classical-quantum neural networks A. Mari T. Bromley J. Izaac Maria Schuld N. Killoran 11 281 0 17 Dec 2019
Real-time Convolutional Networks for Depth-based Human Pose Estimation Á. Martínez-González M. Villamizar Olivier Canévet J. Odobez 3DH 16 27 0 30 Oct 2019
Classification of Neurodevelopmental Age in Normal Infants Using 3D-CNN based on Brain MRI M. Shabanian E. Eckstein Hao Chen J. DeVincenzo 16 11 0 27 Oct 2019
Comparison of Neural Network Architectures for Spectrum Sensing Ziyu Ye A. Gilman Qihang Peng Kelly Levick P. Cosman L. B. Milstein MQ 10 9 0 15 Jul 2019
Modern CNNs for IoT Based Farms P. Gikunda 25 5 0 15 Jul 2019
Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering Pedro F. Proença Yang Gao 17 150 0 09 Jul 2019
New pointwise convolution in Deep Neural Networks through Extremely Fast and Non Parametric Transforms Joonhyun Jeong Sung-Ho Bae 32 1 0 25 Jun 2019
RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion M. Sarmad H. J. Lee Y. Kim 3DPC 15 180 0 28 Apr 2019
Evolutionary Cell Aided Design for Neural Network Architectures Philip Colangelo Oren Segal Alexander Speicher M. Margala 6 3 0 06 Mar 2019
Making BREAD: Biomimetic strategies for Artificial Intelligence Now and in the Future J. Krichmar William M. Severa Salar M. Khan J. Olds AI4CE 19 21 0 04 Dec 2018