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Deep representation learning for domain generalization with information bottleneck principle 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 143, 页码: 12
作者:  Zhang, Jiao;  Zhang, Xu-Yao;  Wang, Chuang;  Liu, Cheng-Lin
收藏  |  浏览/下载：72/0  |  提交时间：2023/11/17
Domain generalization  Information bottleneck  Representation learning  
Towards prior gap and representation gap for long-tailed recognition 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 133, 页码: 12
作者:  Zhang, Ming-Liang;  Zhang, Xu-Yao;  Wang, Chuang;  Liu, Cheng-Lin
收藏  |  浏览/下载：236/0  |  提交时间：2022/11/14
Long-tailed learning  Prior gap  Representation gap  Image recognition  
Adaptable Global Network for Whole-Brain Segmentation with Symmetry Consistency Loss 期刊论文
COGNITIVE COMPUTATION, 2022, 页码: 14
作者:  Zhao, Yuan-Xing;  Zhang, Yan-Ming;  Song, Ming;  Liu, Cheng-Lin
Adobe PDF(2496Kb)  |  收藏  |  浏览/下载：256/72  |  提交时间：2022/07/25
Whole-brain segmentation  Adaptable global network  Semi-supervised learning  Symmetry consistency loss  
Highway Lane Change Decision-Making via Attention-Based Deep Reinforcement Learning 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 卷号: 9, 期号: 3, 页码: 567-569
作者:  Wang, Junjie;  Zhang, Qichao;  Zhao, Dongbin
Adobe PDF(803Kb)  |  收藏  |  浏览/下载：224/53  |  提交时间：2022/02/16
Tucker decomposition-based temporal knowledge graph completion 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2022, 卷号: 238, 页码: 9
作者:  Shao, Pengpeng;  Zhang, Dawei;  Yang, Guohua;  Tao, Jianhua;  Che, Feihu;  Liu, Tong
Adobe PDF(611Kb)  |  收藏  |  浏览/下载：234/39  |  提交时间：2022/06/10
Temporal knowledge graphs  Tucker decomposition  Reconstruction  Contrastive learning  
Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L-1 Loss 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 762-773
作者:  Chen, Yaran;  Li, Haoran;  Gao, Ruiyuan;  Zhao, Dongbin
Adobe PDF(2082Kb)  |  收藏  |  浏览/下载：211/42  |  提交时间：2022/03/17
3-D object detection  generalized Intersection of Union (GIoU) loss  segmentation  
Mixed-Supervised Scene Text Detection With Expectation-Maximization Algorithm 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 5513-5528
作者:  Zhao, Mengbiao;  Feng, Wei;  Yin, Fei;  Zhang, Xu-Yao;  Liu, Cheng-Lin
Adobe PDF(5999Kb)  |  收藏  |  浏览/下载：264/33  |  提交时间：2022/09/19
Costs  Annotations  Training  Labeling  Detectors  Data models  Benchmark testing  Mixed-supervised learning  scene text detection  weak supervision forms  expectation-maximization algorithm  
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：165/0  |  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)  
Semantic-diversity transfer network for generalized zero-shot learning via inner disagreement based OOD detector 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 229, 页码: 11
作者:  Liu, Bo;  Dong, Qiulei;  Hu, Zhanyi
Adobe PDF(1224Kb)  |  收藏  |  浏览/下载：303/65  |  提交时间：2021/11/04
Zero-shot learning  Visual-semantic embedding  Out-of-distribution detection  
Self-supervised graph representation learning via bootstrapping 期刊论文
NEUROCOMPUTING, 2021, 卷号: 456, 页码: 88-96
作者:  Che, Feihu;  Yang, Guohua;  Zhang, Dawei;  Tao, Jianhua;  Liu, Tong
Adobe PDF(1379Kb)  |  收藏  |  浏览/下载：321/57  |  提交时间：2021/11/03
Graph representation learning  Self-supervised  Bootstrapping  Graph neural network