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Distributionally Robust Learning With Stable Adversarial Training.

J. Liu, Z. Shen, P. Cui, L. Zhou, K. Kuang, and B. Li. IEEE Trans. Knowl. Data Eng., 35 (11): 11288-11300 (November 2023)

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Pei Kuang

Peng Kuang

Xutao Kuang

Zhanghui Kuang

Zheng-Zheng Kuang

Other publications of authors with the same name

Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition.J. Yuan, A. Wu, K. Kuang, B. Li, R. Wu, F. Wu, and L. Lin. ACM Trans. Knowl. Discov. Data, 16 (4): 74:1-74:20 (2022)Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems.S. Zhang, Z. Jiang, J. Yao, F. Feng, K. Kuang, Z. Zhao, S. Li, H. Yang, T. Chua, and F. Wu. IEEE Trans. Knowl. Data Eng., 36 (2): 459-474 (February 2024)Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization.J. Yuan, X. Ma, K. Kuang, R. Xiong, M. Gong, and L. Lin. CoRR, (2021)Domain Generalization via Contrastive Causal Learning.Q. Miao, J. Yuan, and K. Kuang. CoRR, (2022)Domain-Specific Bias Filtering for Single Labeled Domain Generalization.J. Yuan, X. Ma, D. Chen, K. Kuang, F. Wu, and L. Lin. CoRR, (2021)Distributionally Robust Learning with Stable Adversarial Training.J. Liu, Z. Shen, P. Cui, L. Zhou, K. Kuang, and B. Li. CoRR, (2021)Exploiting Contrastive Learning and Numerical Evidence for Improving Confusing Legal Judgment Prediction.L. Gan, B. Li, K. Kuang, Y. Yang, and F. Wu. CoRR, (2022)Semi-supervised Active Learning for Semi-supervised Models: Exploit Adversarial Examples with Graph-based Virtual Labels.J. Guo, H. Shi, Y. Kang, K. Kuang, S. Tang, Z. Jiang, C. Sun, F. Wu, and Y. Zhuang. ICCV, page 2876-2885. IEEE, (2021)Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning.J. Li, K. Kuang, B. Wang, F. Liu, L. Chen, F. Wu, and J. Xiao. KDD, page 934-942. ACM, (2021)Stable Learning via Sample Reweighting.Z. Shen, P. Cui, T. Zhang, and K. Kuang. AAAI, page 5692-5699. AAAI Press, (2020)

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Disambiguation of "Kuang, Kun"

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Distributionally Robust Learning With Stable Adversarial Training.

Please choose a person to relate this publication to

Pei Kuang

Peng Kuang

Xutao Kuang

Zhanghui Kuang

Zheng-Zheng Kuang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kuang, Kun"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Distributionally Robust Learning With Stable Adversarial Training.

Please choose a person to relate this publication to

Pei Kuang

Peng Kuang

Xutao Kuang

Zhanghui Kuang

Zheng-Zheng Kuang

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

Distributionally Robust Learning With Stable Adversarial Training.