Label Shift Correction via Bidirectional Marginal Distribution Matching

Author:

Fan Ruidong1ORCID,Ouyang Xiao1ORCID,Tao Hong1ORCID,Hou Chenping1ORCID

Affiliation:

1. National University of Defense Technology, Changsha, Hunan, China

Funder

the National Key Research and Development Program

the Key NSF of China

the NSF of China

the Research Innovation Project for Postgraduate Students

the NSF of Hunan Province

Publisher

ACM

Reference28 articles.

1. Plant classification in the wild: Energy evaluation for deep learning models

2. Importance Weight Estimation and Generalization in Domain Adaptation under Label Shift

3. Kamyar Azizzadenesheli, Anqi Liu, Fanny Yang, and Animashree Anandkumar. 2019. Regularized Learning for Domain Adaptation under Label Shifts. In 7th International Conference on Learning Representations(ICLR).

4. Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang, and Geoffrey J. Gordon. 2020. Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift. In Advances in Neural Information Processing Systems 33(NeurIPS).

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