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Orthogonal Uncertainty Representation of Data Manifold for Robust Long-Tailed Learning.

Y. Ma, L. Jiao, F. Liu, S. Yang, X. Liu, and L. Li. ACM Multimedia, page 4848-4857. ACM, (2023)

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Yuzhao Ma

Characterization of higher order modes in optical fibersY. Ma. Uni Erlangen-Nürnberg, (2009)

Tsie Ma

Jingxiang Ma

Lan Ma

Ma Li

Other publications of authors with the same name

Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification.Y. Ma, L. Jiao, F. Liu, S. Yang, X. Liu, and L. Li. CVPR, page 15824-15835. IEEE, (2023)Comparison of Neural Networks' Performance in Early Screening of Autism Spectrum Disorders Under Two MRI Principles.M. Zhang, Y. Ma, L. Zheng, Y. Wang, Z. Liu, and J. Ma. NaNA, page 338-343. IEEE, (2019)Multisource Data Fusion for the Detection of Settlements Without Electricity.Y. Ma, Y. Li, K. Feng, X. Geng, L. Jiao, F. Liu, and Y. Yang. IGARSS, page 1839-1842. IEEE, (2021)Exploring Beyond Logits: Hierarchical Dynamic Labeling Based on Embeddings for Semi-Supervised Classification.Y. Ma, L. Jiao, F. Liu, L. Li, S. Yang, and X. Liu. CoRR, (2024)NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results.L. Wang, Y. Guo, Y. Wang, J. Li, S. Gu, R. Timofte, M. Cheng, H. Ma, Q. Ma, X. Sun and 117 other author(s). CVPR Workshops, page 1346-1372. IEEE, (2023)Unveiling and Mitigating Generalized Biases of DNNs through the Intrinsic Dimensions of Perceptual Manifolds.Y. Ma, L. Jiao, F. Liu, L. Li, W. Ma, S. Yang, X. Liu, and P. Chen. CoRR, (2024)Orthogonal Uncertainty Representation of Data Manifold for Robust Long-Tailed Learning.Y. Ma, L. Jiao, F. Liu, S. Yang, X. Liu, and L. Li. ACM Multimedia, page 4848-4857. ACM, (2023)An Explainable Diagnostic Method for Autism Spectrum Disorder Using Neural Network.M. Zhang, Y. Ma, L. Zheng, Y. Wang, Z. Liu, J. Ma, Q. Xiang, K. Zhang, and L. Jiao. J. Inf. Sci. Eng., 37 (2): 347-363 (2021)NTIRE 2023 Challenge on Image Super-Resolution (×4): Methods and Results.Y. Zhang, K. Zhang, Z. Chen, Y. Li, R. Timofte, J. Zhang, K. Zhang, R. Peng, Y. Ma, L. Jia and 68 other author(s). CVPR Workshops, page 1865-1884. IEEE, (2023)Geometric Prior Guided Feature Representation Learning for Long-Tailed Classification.Y. Ma, L. Jiao, F. Liu, S. Yang, X. Liu, and P. Chen. Int. J. Comput. Vis., 132 (7): 2493-2510 (July 2024)

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Disambiguation of "Ma, Yanbiao"

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Orthogonal Uncertainty Representation of Data Manifold for Robust Long-Tailed Learning.

Please choose a person to relate this publication to

Yuzhao Ma

Tsie Ma

Jingxiang Ma

Lan Ma

Ma Li

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ma, Yanbiao"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Orthogonal Uncertainty Representation of Data Manifold for Robust Long-Tailed Learning.

Please choose a person to relate this publication to

Yuzhao Ma

Tsie Ma

Jingxiang Ma

Lan Ma

Ma Li

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Orthogonal Uncertainty Representation of Data Manifold for Robust Long-Tailed Learning.