123 citations · 428 across the 18 of their papers we have counts for
6 papers · 1 filter
Generalized Label Shift Correction via Minimum Uncertainty Principle: Theory and Algorithm
You-Wei Luo, Chuan-Xian Ren
As a fundamental problem in machine learning, dataset shift induces a paradigm to learn and transfer knowledge under changing environment. Previous methods assume the changes are i…
Multi-Source Unsupervised Domain Adaptation via Pseudo Target Domain
Ren Chuan-Xian, Liu Yong-Hui, Zhang Xi-Wen +1
Multi-source domain adaptation (MDA) aims to transfer knowledge from multiple source domains to an unlabeled target domain. MDA is a challenging task due to the severe domain shift…
Geometry-Aware Unsupervised Domain Adaptation
You-Wei Luo, Chuan-Xian Ren, Zi-Ying Chen
Unsupervised Domain Adaptation (UDA) aims to transfer the knowledge from the labeled source domain to the unlabeled target domain in the presence of dataset shift. Most existing me…
Conditional Bures Metric for Domain Adaptation
You-Wei Luo, Chuan-Xian Ren
As a vital problem in classification-oriented transfer, unsupervised domain adaptation (UDA) has attracted widespread attention in recent years. Previous UDA methods assume the mar…
Unsupervised Domain Adaptation via Discriminative Manifold Propagation
You-Wei Luo, Chuan-Xian Ren, Dao-Qing Dai +1
Unsupervised domain adaptation is effective in leveraging rich information from a labeled source domain to an unlabeled target domain. Though deep learning and adversarial strategy…
Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment
You-Wei Luo, Chuan-Xian Ren, Pengfei Ge +2
Unsupervised domain adaptation is effective in leveraging the rich information from the source domain to the unsupervised target domain. Though deep learning and adversarial strate…