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Boosting On-Policy Actor-Critic With Shallow Updates in Critic 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 页码: 10
作者:  Li, Luntong;  Zhu, Yuanheng
收藏  |  浏览/下载：8/0  |  提交时间：2024/07/03
Artificial neural networks  Vectors  Task analysis  Training  Representation learning  Approximation algorithms  Optimization  Actor-critic  deep reinforcement learning (DRL)  proximal policy optimization (PPO)  shallow reinforcement learning (SRL)  
Clustering Enhanced Multiplex Graph Contrastive Representation Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Yuan, Ruiwen;  Tang, Yongqiang;  Wu, Yajing;  Zhang, Wensheng
收藏  |  浏览/下载：59/0  |  提交时间：2024/03/27
Contrastive learning  graph representation learning  multiplex graph  multiview graph clustering  
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)  |  收藏  |  浏览/下载：148/45  |  提交时间：2024/02/22
Face photo-sketch synthesis  generative adversarial network  graph representation learning  intraclass and interclass  iterative cycle training (ICT)  
Description-Enhanced Label Embedding Contrastive Learning for Text Classification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 14
作者:  Zhang, Kun;  Wu, Le;  Lv, Guangyi;  Chen, Enhong;  Ruan, Shulan;  Liu, Jing;  Zhang, Zhiqiang;  Zhou, Jun;  Wang, Meng
收藏  |  浏览/下载：150/0  |  提交时间：2023/11/17
Contrastive learning (CL)  label embedding  representation learning  text classification  
Semisupervised Progressive Representation Learning for Deep Multiview Clustering 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Chen, Rui;  Tang, Yongqiang;  Xie, Yuan;  Feng, Wenlong;  Zhang, Wensheng
收藏  |  浏览/下载：134/0  |  提交时间：2023/11/17
Representation learning  Training  Data models  Task analysis  Complexity theory  Semisupervised learning  Optimization  Deep clustering  multiview clustering  progressive sample learning  semisupervised learning  
PP-NAS: Searching for Plug-and-Play Blocks on Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:  Xiao, Anqi;  Shen, Biluo;  Tian, Jie;  Hu, Zhenhua
收藏  |  浏览/下载：114/0  |  提交时间：2023/11/17
Convolution  Search problems  Optimization  Computer architecture  Object detection  Molecular imaging  Visualization  Multiscale  neural architecture search (NAS)  plug-and-play  representation learning  
Unsupervised Multitarget Domain Adaptation With Dictionary-Bridged Knowledge Exploitation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 14
作者:  Tian, Qing;  Ma, Chuang;  Cao, Meng;  Wan, Jun;  Lei, Zhen;  Chen, Songcan
收藏  |  浏览/下载：309/0  |  提交时间：2022/09/19
Dictionary learning  domain correlations  multitarget domain adaptation  representation learning  unsupervised domain adaptation (UDA)  
Modal-Regression-Based Structured Low-Rank Matrix Recovery for Multiview Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 3, 页码: 1204-1216
作者:  Xu, Jiamiao;  Wang, Fangzhao;  Peng, Qinmu;  You, Xinge;  Wang, Shuo;  Jing, Xiao-Yuan;  Chen, C. L. Philip
收藏  |  浏览/下载：310/0  |  提交时间：2021/04/27
Robustness  Laplace equations  Technological innovation  Learning systems  Data models  Gaussian noise  Convex functions  Block-diagonal representation learning  cross-view classification  low-rank representation  multiview learning  
GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 3, 页码: 614-627
作者:  Ni, Zhen;  He, Haibo;  Zhao, Dongbin;  Xu, Xin;  Prokhorov, Danil V.
收藏  |  浏览/下载：201/0  |  提交时间：2015/09/21
Adaptive Control  Adaptive Dynamic Programming (Adp)  Dual Heuristic Dynamic Programming (Dhp)  General Utility Function  Goal Representation  Reinforcement Learning (Rl)