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A Survey on Evolutionary Neural Architecture Search
A Survey on Evolutionary Neural Architecture Search
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A Survey on Evolutionary Neural Architecture Search

Liu, Yuqiao ; Sun, Yanan ; Xue, Bing ; Zhang, Mengjie ; Yen, Gary G. ; Tan, Kay Chen

IEEE transaction on neural networks and learning systems, 2023-02, Vol.34 (2), p.550-570

United States: IEEE

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2
Object Detection With Deep Learning: A Review
Object Detection With Deep Learning: A Review
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Object Detection With Deep Learning: A Review

Zhao, Zhong-Qiu ; Zheng, Peng ; Xu, Shou-Tao ; Wu, Xindong

IEEE transaction on neural networks and learning systems, 2019-11, Vol.30 (11), p.3212-3232

United States: IEEE

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3
Scalable Digital Neuromorphic Architecture for Large-Scale Biophysically Meaningful Neural Network With Multi-Compartment Neurons
Scalable Digital Neuromorphic Architecture for Large-Scale Biophysically Meaningful Neural Network With Multi-Compartment Neurons
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Scalable Digital Neuromorphic Architecture for Large-Scale Biophysically Meaningful Neural Network With Multi-Compartment Neurons

Yang, Shuangming ; Deng, Bin ; Wang, Jiang ; Li, Huiyan ; Lu, Meili ; Che, Yanqiu ; Wei, Xile ; Loparo, Kenneth A.

IEEE transaction on neural networks and learning systems, 2020-01, Vol.31 (1), p.148-162

United States: IEEE

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4
A Survey of the Usages of Deep Learning for Natural Language Processing
A Survey of the Usages of Deep Learning for Natural Language Processing
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A Survey of the Usages of Deep Learning for Natural Language Processing

Otter, Daniel W. ; Medina, Julian R. ; Kalita, Jugal K.

IEEE transaction on neural networks and learning systems, 2021-02, Vol.32 (2), p.604-624

United States: IEEE

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5
Completely Automated CNN Architecture Design Based on Blocks
Completely Automated CNN Architecture Design Based on Blocks
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Completely Automated CNN Architecture Design Based on Blocks

Sun, Yanan ; Xue, Bing ; Zhang, Mengjie ; Yen, Gary G.

IEEE transaction on neural networks and learning systems, 2020-04, Vol.31 (4), p.1242-1254

United States: IEEE

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6
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
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A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects

Li, Zewen ; Liu, Fan ; Yang, Wenjie ; Peng, Shouheng ; Zhou, Jun

IEEE transaction on neural networks and learning systems, 2022-12, Vol.33 (12), p.6999-7019

United States: IEEE

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7
Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture
Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture
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Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture

Chen, C. L. Philip ; Liu, Zhulin

IEEE transaction on neural networks and learning systems, 2018-01, Vol.29 (1), p.10-24

United States: IEEE

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8
CerebelluMorphic: Large-Scale Neuromorphic Model and Architecture for Supervised Motor Learning
CerebelluMorphic: Large-Scale Neuromorphic Model and Architecture for Supervised Motor Learning
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CerebelluMorphic: Large-Scale Neuromorphic Model and Architecture for Supervised Motor Learning

Yang, Shuangming ; Wang, Jiang ; Zhang, Nan ; Deng, Bin ; Pang, Yanwei ; Azghadi, Mostafa Rahimi

IEEE transaction on neural networks and learning systems, 2022-09, Vol.33 (9), p.4398-4412

United States: IEEE

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9
Adversarial Examples: Attacks and Defenses for Deep Learning
Adversarial Examples: Attacks and Defenses for Deep Learning
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Adversarial Examples: Attacks and Defenses for Deep Learning

Yuan, Xiaoyong ; He, Pan ; Zhu, Qile ; Li, Xiaolin

IEEE transaction on neural networks and learning systems, 2019-09, Vol.30 (9), p.2805-2824

United States: IEEE

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10
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
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A Comprehensive Survey on Graph Neural Networks

Wu, Zonghan ; Pan, Shirui ; Chen, Fengwen ; Long, Guodong ; Zhang, Chengqi ; Yu, Philip S.

IEEE transaction on neural networks and learning systems, 2021-01, Vol.32 (1), p.4-24

United States: IEEE

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