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Reducing bi-level feature redundancy for unsupervised domain adaptation.

M. Wang, S. Wang, W. Wang, L. Shen, X. Zhang, L. Lan, and Z. Luo. Pattern Recognit., (May 2023)

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Wang Wang

Linfang Wang

Investigation of the functions of 53BP1 in DNA demethylationL. Wang. Uni Marburg, (2009)

Sha Wang

Lei Wang

Qingwei Wang

Other publications of authors with the same name

BP-triplet net for unsupervised domain adaptation: A Bayesian perspective.S. Wang, L. Zhang, P. Wang, M. Wang, and X. Zhang. Pattern Recognit., (2023)Enhanced Dcf Tracker Regularized by Reliable Sample Construction.K. Hu, M. Cao, M. Wang, L. Lan, W. Yang, and H. Tan. ICASSP, page 1-5. IEEE, (2023)A Focally Discriminative Loss for Unsupervised Domain Adaptation.D. Sun, M. Wang, X. Ma, T. Zhang, N. Yin, W. Yu, and Z. Luo. ICONIP (1), volume 13108 of Lecture Notes in Computer Science, page 54-64. Springer, (2021)AAT: Non-local Networks for Sim-to-Real Adversarial Augmentation Transfer.M. Wang, S. Wang, T. Yan, and Z. Luo. ICONIP (4), volume 1791 of Communications in Computer and Information Science, page 227-238. Springer, (2022)InterBN: Channel Fusion for Adversarial Unsupervised Domain Adaptation.M. Wang, W. Wang, B. Li, X. Zhang, L. Lan, H. Tan, T. Liang, W. Yu, and Z. Luo. ACM Multimedia, page 3691-3700. ACM, (2021)Multidocument Aspect Classification for Aspect-Based Abstractive Summarization.Y. Wang, Y. Zhou, M. Wang, Z. Chen, Z. Cai, J. Chen, and V. Leung. IEEE Trans. Comput. Soc. Syst., 11 (1): 1483-1492 (February 2024)Reducing bi-level feature redundancy for unsupervised domain adaptation.M. Wang, S. Wang, W. Wang, L. Shen, X. Zhang, L. Lan, and Z. Luo. Pattern Recognit., (May 2023)Class-specific and self-learning local manifold structure for domain adaptation.W. Wang, M. Wang, X. Dong, L. Lan, Q. Zu, X. Zhang, and C. Wang. Pattern Recognit., (October 2023)Atomic-action-based Contrastive Network for Weakly Supervised Temporal Language Grounding.H. Wu, Y. Lyu, X. Shen, X. Zhao, M. Wang, X. Zhang, and Z. Luo. ICME, page 1523-1528. IEEE, (2023)Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization.H. Su, W. Luo, D. Liu, M. Wang, J. Tang, J. Chen, C. Wang, and Z. Chen. AAAI, page 15091-15099. AAAI Press, (2024)

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Disambiguation of "Wang, Mengzhu"

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Reducing bi-level feature redundancy for unsupervised domain adaptation.

Please choose a person to relate this publication to

Wang Wang

Linfang Wang

Sha Wang

Lei Wang

Qingwei Wang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wang, Mengzhu"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Reducing bi-level feature redundancy for unsupervised domain adaptation.

Please choose a person to relate this publication to

Wang Wang

Linfang Wang

Sha Wang

Lei Wang

Qingwei Wang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Reducing bi-level feature redundancy for unsupervised domain adaptation.