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AMARL: An Attention-Based Multiagent Reinforcement Learning Approach to the Min-Max Multiple Traveling Salesmen Problem
AMARL: An Attention-Based Multiagent Reinforcement Learning Approach to the Min-Max Multiple Traveling Salesmen Problem
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AMARL: An Attention-Based Multiagent Reinforcement Learning Approach to the Min-Max Multiple Traveling Salesmen Problem

Gao, Hao ; Zhou, Xing ; Xu, Xin ; Lan, Yixing ; Xiao, Yongqian

IEEE transaction on neural networks and learning systems, 2024-07, Vol.35 (7), p.9758-9772

United States: IEEE

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Hierarchical Bidirected Graph Convolutions for Large-Scale 3-D Point Cloud Place Recognition
Hierarchical Bidirected Graph Convolutions for Large-Scale 3-D Point Cloud Place Recognition
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Hierarchical Bidirected Graph Convolutions for Large-Scale 3-D Point Cloud Place Recognition

Shu, Dong Wook ; Kwon, Junseok

IEEE transaction on neural networks and learning systems, 2024-07, Vol.35 (7), p.9651-9662

United States: IEEE

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3
A Recurrent Neural Network Approach for Constrained Distributed Fuzzy Convex Optimization
A Recurrent Neural Network Approach for Constrained Distributed Fuzzy Convex Optimization
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A Recurrent Neural Network Approach for Constrained Distributed Fuzzy Convex Optimization

Liu, Jingxin ; Liao, Xiaofeng ; Dong, Jin-Song

IEEE transaction on neural networks and learning systems, 2024-07, Vol.35 (7), p.9743-9757

United States: IEEE

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4
Gradient Learning With the Mode-Induced Loss: Consistency Analysis and Applications
Gradient Learning With the Mode-Induced Loss: Consistency Analysis and Applications
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Gradient Learning With the Mode-Induced Loss: Consistency Analysis and Applications

Chen, Hong ; Fu, Youcheng ; Jiang, Xue ; Chen, Yanhong ; Li, Weifu ; Zhou, Yicong ; Zheng, Feng

IEEE transaction on neural networks and learning systems, 2024-07, Vol.35 (7), p.9686-9699

United States: IEEE

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5
Invertible Residual Blocks in Deep Learning Networks
Invertible Residual Blocks in Deep Learning Networks
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Invertible Residual Blocks in Deep Learning Networks

Wang, Ruhua ; An, Senjian ; Liu, Wanquan ; Li, Ling

IEEE transaction on neural networks and learning systems, 2024-07, Vol.35 (7), p.10167-10173

United States: IEEE

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6
PMSGAN: Parallel Multistage GANs for Face Image Translation
PMSGAN: Parallel Multistage GANs for Face Image Translation
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PMSGAN: Parallel Multistage GANs for Face Image Translation

Liang, Changcheng ; Zhu, Mingrui ; Wang, Nannan ; Yang, Heng ; Gao, Xinbo

IEEE transaction on neural networks and learning systems, 2024-07, Vol.35 (7), p.9352-9365

United States: IEEE

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7
Unsupervised Domain Adaptation With Class-Aware Memory Alignment
Unsupervised Domain Adaptation With Class-Aware Memory Alignment
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Unsupervised Domain Adaptation With Class-Aware Memory Alignment

Wang, Hui ; Zheng, Liangli ; Zhao, Hanbin ; Li, Shijian ; Li, Xi

IEEE transaction on neural networks and learning systems, 2024-07, Vol.35 (7), p.9930-9942

United States: IEEE

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8
Balanced Federated Semisupervised Learning With Fairness-Aware Pseudo-Labeling
Balanced Federated Semisupervised Learning With Fairness-Aware Pseudo-Labeling
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Balanced Federated Semisupervised Learning With Fairness-Aware Pseudo-Labeling

Wei, Xiao-Xiang ; Huang, Hua

IEEE transaction on neural networks and learning systems, 2024-07, Vol.35 (7), p.9395-9407

United States: IEEE

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9
Achieving Better Category Separability for Hyperspectral Image Classification: A Spatial-Spectral Approach
Achieving Better Category Separability for Hyperspectral Image Classification: A Spatial-Spectral Approach
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Achieving Better Category Separability for Hyperspectral Image Classification: A Spatial-Spectral Approach

Bai, Jing ; Shi, Wei ; Xiao, Zhu ; Ali, Talal Ahmed Ali ; Ye, Fawang ; Jiao, Licheng

IEEE transaction on neural networks and learning systems, 2024-07, Vol.35 (7), p.9621-9635

United States: IEEE

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10
Rethinking Pretraining as a Bridge From ANNs to SNNs
Rethinking Pretraining as a Bridge From ANNs to SNNs
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Rethinking Pretraining as a Bridge From ANNs to SNNs

Lin, Yihan ; Hu, Yifan ; Ma, Shijie ; Yu, Dongjie ; Li, Guoqi

IEEE transaction on neural networks and learning systems, 2024-07, Vol.35 (7), p.9054-9067

United States: IEEE

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