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Structure-Preserved Unsupervised Domain Adaptation

IEEE Transactions on Knowledge and Data Engineering, 2019
Domain adaptation has been a primal approach to addressing the issues by lack of labels in many data mining tasks. Although considerable efforts have been devoted to domain adaptation with promising results, most existing work learns a classifier on a source domain and then predicts the labels for target data, where only the instances near the boundary
Hongfu Liu   +3 more
openaire   +1 more source

Adversarially robust unsupervised domain adaptation

Artificial Intelligence
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lianghe Shi, Weiwei Liu
openaire   +2 more sources

Deep Unsupervised Convolutional Domain Adaptation

Proceedings of the 25th ACM international conference on Multimedia, 2017
In multimedia analysis, the task of domain adaptation is to adapt the feature representation learned in the source domain with rich label information to the target domain with less or even no label information. Significant research endeavors have been devoted to aligning the feature distributions between the source and the target domains in the top ...
Junbao Zhuo   +3 more
openaire   +1 more source

Assisted Unsupervised Domain Adaptation

2023 IEEE International Symposium on Information Theory (ISIT), 2023
Cheng Chen   +3 more
openaire   +1 more source

Distributionally robust unsupervised domain adaptation

Journal of Computational and Applied Mathematics
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yibin Wang, Haifeng Wang
openaire   +1 more source

Smooth unsupervised domain adaptation considering uncertainties

Information Sciences, 2023
Mona Moradi   +3 more
openaire   +1 more source

Multi-source unsupervised domain adaptation for object detection

Information Fusion, 2022
Mao Ye, Yiguang Liu, Lin Xiong
exaly  

Self-corrected unsupervised domain adaptation

Frontiers of Computer Science, 2021
Yunyun Wang   +3 more
openaire   +1 more source

A Review of Single-Source Deep Unsupervised Visual Domain Adaptation

IEEE Transactions on Neural Networks and Learning Systems, 2022
Sicheng Zhao   +2 more
exaly  

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