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Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts.

K. Li, Y. Zhang, L. Hong, Z. Li, and N. Zhang. CoRR, (2023)

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Li Li

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Deep Meta-Learning: Learning to Learn in the Concept Space.F. Zhou, B. Wu, and Z. Li. CoRR, (2018)Batch Group Normalization.X. Zhou, J. Sun, N. Ye, X. Lan, Q. Luo, B. Lai, P. Esperança, G. Yang, and Z. Li. CoRR, (2020)Effective and Parameter-Efficient Reusing Fine-Tuned Models.W. Jiang, B. Lin, H. Shi, Y. Zhang, Z. Li, and J. Kwok. CoRR, (2023)LEGO-Prover: Neural Theorem Proving with Growing Libraries.H. Wang, H. Xin, C. Zheng, L. Li, Z. Liu, Q. Cao, Y. Huang, J. Xiong, H. Shi, E. Xie and 4 other author(s). CoRR, (2023)VEGA: Towards an End-to-End Configurable AutoML Pipeline.B. Wang, H. Xu, J. Zhang, C. Chen, Y. Xu, X. Fang, N. Kang, L. Hong, C. Jiang, X. Cai and 14 other author(s). CoRR, (2020)MetaAugment: Sample-Aware Data Augmentation Policy Learning.F. Zhou, J. Li, C. Xie, F. Chen, L. Hong, R. Sun, and Z. Li. CoRR, (2020)DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation.H. Bai, R. Sun, L. Hong, F. Zhou, N. Ye, H. Ye, S. Chan, and Z. Li. CoRR, (2020)DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning.E. Xie, L. Yao, H. Shi, Z. Liu, D. Zhou, Z. Liu, J. Li, and Z. Li. ICCV, page 4207-4216. IEEE, (2023)Beyond One-to-One: Rethinking the Referring Image Segmentation.Y. Hu, Q. Wang, W. Shao, E. Xie, Z. Li, J. Han, and P. Luo. ICCV, page 4044-4054. IEEE, (2023)Adversarial Robustness for Unsupervised Domain Adaptation.M. Awais, F. Zhou, H. Xu, L. Hong, P. Luo, S. Bae, and Z. Li. ICCV, page 8548-8557. IEEE, (2021)

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Disambiguation of "Li, Zhenguo"

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Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts.

Please choose a person to relate this publication to

Li Li

Li Li

Li Li

Li Li

Li Li

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Li, Zhenguo"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts.

Please choose a person to relate this publication to

Li Li

Li Li

Li Li

Li Li

Li Li

Other publications of authors with the same name

Disambiguation

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URL
DOI
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APA
Chicago
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Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts.