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BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction.

J. Li, F. Song, Y. Jin, W. Qiang, C. Zheng, F. Sun, and H. Xiong. ICLR, OpenReview.net, (2024)

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Li Li

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Interventional Contrastive Learning with Meta Semantic Regularizer.W. Qiang, J. Li, C. Zheng, B. Su, and H. Xiong. ICML, volume 162 of Proceedings of Machine Learning Research, page 18018-18030. PMLR, (2022)Auxiliary task guided mean and covariance alignment network for adversarial domain adaptation.W. Qiang, J. Li, C. Zheng, and B. Su. Knowl. Based Syst., (2021)Teleporter Theory: A General and Simple Approach for Modeling Cross-World Counterfactual Causality.J. Li, B. Qin, Q. Ji, Y. Li, W. Qiang, J. Cao, and F. Xu. CoRR, (2024)Unsupervised social event detection via hybrid graph contrastive learning and reinforced incremental clustering.Y. Guo, Z. Zang, H. Gao, X. Xu, R. Wang, L. Liu, and J. Li. Knowl. Based Syst., (2024)Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective.H. Gao, J. Li, W. Qiang, L. Si, X. Su, F. Wu, C. Zheng, and F. Sun. CoRR, (2023)Weight-Aware Graph Contrastive Learning.H. Gao, J. Li, P. Qiao, and C. Zheng. ICANN (2), volume 13530 of Lecture Notes in Computer Science, page 719-730. Springer, (2022)Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity.J. Li, W. Qiang, C. Zheng, B. Su, F. Razzak, J. Wen, and H. Xiong. IEEE Trans. Knowl. Data Eng., 35 (7): 7220-7238 (July 2023)Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity.J. Li, W. Qiang, C. Zheng, B. Su, F. Razzak, J. Wen, and H. Xiong. CoRR, (2022)Meta Attention-Generation Network for Cross-Granularity Few-Shot Learning.W. Qiang, J. Li, B. Su, J. Fu, H. Xiong, and J. Wen. Int. J. Comput. Vis., 131 (5): 1211-1233 (May 2023)Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective.Q. Ji, J. Li, J. Hu, R. Wang, C. Zheng, and F. Xu. CoRR, (2023)

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Disambiguation of "Li, Jiangmeng"

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BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction.

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, Jiangmeng"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction.

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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BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction.