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浏览/检索结果:
共24条,第1-10条
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出处:IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
文献类型:期刊论文
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Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network With Graph Representation Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 14
作者:
Qi, Xingqun
;
Sun, Muyi
;
Wang, Zijian
;
Liu, Jiaming
;
Li, Qi
;
Zhao, Fang
;
Zhang, Shanghang
;
Shan, Caifeng
Adobe PDF(6718Kb)
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浏览/下载:98/33
  |  
提交时间:2024/02/22
Face photo-sketch synthesis
generative adversarial network
graph representation learning
intraclass and interclass
iterative cycle training (ICT)
Visually Guided Sound Source Separation With Audio-Visual Predictive Coding
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:
Song, Zengjie
;
Zhang, Zhaoxiang
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2023/11/17
Feature fusion
multimodal learning
predictive coding (PC)
self-supervised learning
sound source separation
OpenHoldem: A Benchmark for Large-Scale Imperfect-Information Game Research
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:
Li, Kai
;
Xu, Hang
;
Zhao, Enmin
;
Wu, Zhe
;
Xing, Junliang
收藏
  |  
浏览/下载:102/0
  |  
提交时间:2023/11/17
Artificial intelligence (AI)
benchmark
imperfect-information game
Nash equilibrium
no-limit Texas hold'em (NLTH)
BAI-Net: Individualized Anatomical Cerebral Cartography Using Graph Neural Network
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 1-12
作者:
Ma L(马亮)
;
Zhang Y(张瑜)
;
Zhang HT(张瀚天)
;
Cheng LQ(程禄祺)
;
Yang ZY(杨正宜)
;
Lu YH(陆玉恒)
;
Shi WY(时维阳)
;
Li W(李雯)
;
Zhuo JJ(卓俊杰)
;
Wang JJ(王娇健)
;
Fan LZ(樊令仲)
;
Jiang TZ(蒋田仔)
Adobe PDF(16100Kb)
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浏览/下载:185/36
  |  
提交时间:2023/01/04
anatomical connectivity fingerprints
heritability
individualized brain atlas
graph neural network
topography variability
VAG: A Uniform Model for Cross-Modal Visual-Audio Mutual Generation
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 13
作者:
Hao, Wangli
;
Guan, He
;
Zhang, Zhaoxiang
收藏
  |  
浏览/下载:215/0
  |  
提交时间:2022/06/10
Task analysis
Instruments
Visualization
Image reconstruction
Generators
Decoding
Generative adversarial networks
Cross modality
cross-modal generation
mutual generation
visual and audio
Deep Neural Network Self-Distillation Exploiting Data Representation Invariance
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 1, 页码: 257-269
作者:
Xu, Ting-Bing
;
Liu, Cheng-Lin
收藏
  |  
浏览/下载:191/0
  |  
提交时间:2022/02/16
Training
Nonlinear distortion
Data models
Neural networks
Knowledge engineering
Network architecture
Generalization error
network compression
representation invariance
self-distillation (SD)
Question-Guided Erasing-Based Spatiotemporal Attention Learning for Video Question Answering
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 0
作者:
Liu, Fei
;
Liu, Jing
;
Hong, Richang
;
Lu, Hanqing
Adobe PDF(3550Kb)
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收藏
  |  
浏览/下载:323/79
  |  
提交时间:2022/01/27
video question answering
attention mechanism
metric learning
UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:
Chai, Jiajun
;
Li, Weifan
;
Zhu, Yuanheng
;
Zhao, Dongbin
;
Ma, Zhe
;
Sun, Kewu
;
Ding, Jishiyu
Adobe PDF(3402Kb)
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收藏
  |  
浏览/下载:244/26
  |  
提交时间:2022/01/27
Multi-agent systems
Training
Task analysis
Reinforcement learning
Sun
Learning systems
Semantics
Centralized training with decentralized execution (CTDE)
multiagent
reinforcement learning
StarCraft II
Extremely Sparse Networks via Binary Augmented Pruning for Fast Image Classification
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14
作者:
Wang, Peisong
;
Li, Fanrong
;
Li, Gang
;
Cheng, Jian
收藏
  |  
浏览/下载:190/0
  |  
提交时间:2022/01/27
Hardware acceleration
image classification
neural networks
pruning
software-hardware codesign
GPENs: Graph Data Learning With Graph Propagation-Embedding Networks
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14
作者:
Jiang, Bo
;
Wang, Leiling
;
Cheng, Jian
;
Tang, Jin
;
Luo, Bin
收藏
  |  
浏览/下载:184/0
  |  
提交时间:2022/01/27
Task analysis
Computer architecture
Semisupervised learning
Deep learning
Laplace equations
Data models
Labeling
Graph embedding
graph neural networks (GNNs)
graph propagation
semi-supervised learning