Author:
Ren Wenjuan,Yang Zhanpeng,Wang Xiang
Subject
Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software
Reference49 articles.
1. TDDA-Net: A transitive distant domain adaptation network for industrial sample enhancement;Ren;Inf. Sci.,2022
2. Heterogeneous Domain Adaptation Through Progressive Alignment;Li;IEEE Trans. Neural Networks Learn. Syst.,2019
3. CNNs/ViTs-CNNs/ViTs: Mutual distillation for unsupervised domain adaptation;Fu;Inf. Sci.,2023
4. J. Hoffman, M. Mohri and N. Zhang, Algorithms and Theory for Multiple-Source Adaptation, 31nd Conference on Neural Information Processing Systems (NIPS 2018), Canada.
5. G.Y. Cai, L.H. He, M.C. Zhou, H. Alhumade and D. Hu. Learning Smooth Representation for Unsupervised Domain Adaptation. IEEE Trans. Neural Network Learn. Syst. DOI:10.1109/TNNLS.2021.3119889.
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