100 citations · 150 across the 13 of their papers we have counts for
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cs.LG2022
Maximizing Conditional Independence for Unsupervised Domain Adaptation
Yi-Ming Zhai, You-Wei Luo
Unsupervised domain adaptation studies how to transfer a learner from a labeled source domain to an unlabeled target domain with different distributions. Existing methods mainly fo…
cs.LG2022
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…
cs.CV2022★ 16 cited
Towards Unsupervised Domain Adaptation via Domain-Transformer
Ren Chuan-Xian, Zhai Yi-Ming, Luo You-Wei +1
As a vital problem in pattern analysis and machine intelligence, Unsupervised Domain Adaptation (UDA) attempts to transfer an effective feature learner from a labeled source domain…