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Unleashing the Potential of Adaptation Models via Go-getting Domain Labels.

X. Jin, T. He, X. Shen, S. Wu, T. Liu, J. Ye, X. Wang, J. Huang, Z. Chen, and X. Hua. ECCV Workshops (8), volume 13808 of Lecture Notes in Computer Science, page 308-325. Springer, (2022)

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Liu Liu

Keetsin Liu

Ching Liu

Other publications of authors with the same name

Where is the Bottleneck of Adversarial Learning with Unlabeled Data?J. Zhang, B. Han, G. Niu, T. Liu, and M. Sugiyama. CoRR, (2019)Improving Medical Images Classification With Label Noise Using Dual-Uncertainty Estimation.L. Ju, X. Wang, L. Wang, D. Mahapatra, X. Zhao, Q. Zhou, T. Liu, and Z. Ge. IEEE Trans. Medical Imaging, 41 (6): 1533-1546 (2022)COVID-MTL: Multitask learning with Shift3D and random-weighted loss for COVID-19 diagnosis and severity assessment.G. Bao, H. Chen, T. Liu, G. Gong, Y. Yin, L. Wang, and X. Wang. Pattern Recognit., (2022)A Regularization Approach for Instance-Based Superset Label Learning.C. Gong, T. Liu, Y. Tang, J. Yang, J. Yang, and D. Tao. CoRR, (2019)Continuous Dropout.X. Shen, X. Tian, T. Liu, F. Xu, and D. Tao. CoRR, (2019)Towards Efficient Front-End Visual Sensing for Digital Retina: A Model-Centric Paradigm.Y. Lou, L. Duan, Y. Luo, Z. Chen, T. Liu, S. Wang, and W. Gao. IEEE Trans. Multim., 22 (11): 3002-3013 (2020)LR-SVM+: Learning Using Privileged Information with Noisy Labels.Z. Wu, X. Xia, R. Wang, J. Li, J. Yu, Y. Mao, and T. Liu. IEEE Trans. Multim., (2022)Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations.J. Wei, Z. Zhu, H. Cheng, T. Liu, G. Niu, and Y. Liu. CoRR, (2021)Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization.Z. Huang, M. Li, L. Shen, J. Yu, C. Gong, B. Han, and T. Liu. CoRR, (2023)How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation.Z. Han, G. Zhou, R. He, J. Wang, T. Wu, Y. Yin, S. Khan, L. Yao, T. Liu, and K. Zhang. CoRR, (2023)

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Disambiguation of "Liu, Tongliang"

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Unleashing the Potential of Adaptation Models via Go-getting Domain Labels.

Please choose a person to relate this publication to

Liu Liu

Liu Liu

Liu Liu

Keetsin Liu

Ching Liu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Liu, Tongliang"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Unleashing the Potential of Adaptation Models via Go-getting Domain Labels.

Please choose a person to relate this publication to

Liu Liu

Liu Liu

Liu Liu

Keetsin Liu

Ching Liu

Other publications of authors with the same name

Disambiguation

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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Unleashing the Potential of Adaptation Models via Go-getting Domain Labels.