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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)  
SASAN: Shape-Adaptive Set Abstraction Network for Point-Voxel 3D Object Detection 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Zhang, Hui;  Luo, Guiyang;  Wang, Xiao;  Li, Yidong;  Ding, Weiping;  Wang, Fei-Yue
收藏  |  浏览/下载：15/0  |  提交时间：2024/07/03
Feature extraction  Three-dimensional displays  Detectors  Object detection  Proposals  Point cloud compression  Shape  3D object detection  autonomous driving  point-voxel detectors  
Deep Rank-Consistent Pyramid Model for Enhanced Crowd Counting 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 14
作者:  Gao, Jiaqi;  Huang, Zhizhong;  Lei, Yiming;  Shan, Hongming;  Wang, James Z.;  Wang, Fei-Yue;  Zhang, Junping
收藏  |  浏览/下载：76/0  |  提交时间：2024/02/22
Crowd counting  feature pyramid  ranking  semi-supervised learning  
PSAQ-ViT V2: Toward Accurate and General Data-Free Quantization for Vision Transformers 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 12
作者:  Li, Zhikai;  Chen, Mengjuan;  Xiao, Junrui;  Gu, Qingyi
收藏  |  浏览/下载：80/0  |  提交时间：2023/11/17
Data-free quantization  model compression  patch similarity  quantized vision transformers (ViTs)  
Constrained Maximum Cross-Domain Likelihood for Domain Generalization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Lin, Jianxin;  Tang, Yongqiang;  Wang, Junping;  Zhang, Wensheng
Adobe PDF(2518Kb)  |  收藏  |  浏览/下载：165/6  |  提交时间：2023/11/17
Optimization  Feature extraction  Metalearning  Entropy  Training  Hospitals  Task analysis  Distribution shift  domain adaptation  domain generalization  domain-invariant representation  joint distribution alignment  
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  
AAformer: Auto-Aligned Transformer for Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 11
作者:  Zhu, Kuan;  Guo, Haiyun;  Zhang, Shiliang;  Wang, Yaowei;  Liu, Jing;  Wang, Jinqiao;  Tang, Ming
收藏  |  浏览/下载：164/0  |  提交时间：2023/11/16
Auto-alignment  part-level representation  person re-identification (re-ID)  transformer  
NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:  Chai, Jiajun;  Zhu, Yuanheng;  Zhao, Dongbin
Adobe PDF(2469Kb)  |  收藏  |  浏览/下载：62/3  |  提交时间：2023/11/16
Large-scale multiagent  neighboring communication  reinforcement learning (RL)  variational information flow  
Learning Lightweight Dynamic Kernels With Attention Inside via Local-Global Context Fusion 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Tian, Yonglin;  Shen, Yu;  Wang, Xiao;  Wang, Jiangong;  Wang, Kunfeng;  Ding, Weiping;  Wang, Zilei;  Wang, Fei-Yue
收藏  |  浏览/下载：365/0  |  提交时间：2023/03/20
Attention inside kernels  dynamic convolution  global context  local context  
Hierarchical Neighbors Embedding 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 14
作者:  Liu, Shenglan;  Yu, Yang;  Liu, Kaiyuan;  Wang, Feilong;  Wen, Wujun;  Qiao, Hong
收藏  |  浏览/下载：203/0  |  提交时间：2023/01/09
Data sparsity  hierarchical neighbors  manifold learning  topological and geometrical properties. the introduced to