Importance Weight Estimation and Generalization in Domain Adaptation under Label Shift-Reference-Cited by-同舟云学术

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Importance Weight Estimation and Generalization in Domain Adaptation under Label Shift

Published:2021 Issue: Volume: Page:1-1
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Azizzadenesheli Kamyar

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/4359286/09445225.pdf?arnumber=9445225

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. centroIDA: Cross-domain class discrepancy minimization based on accumulative class-centroids for Imbalanced Domain Adaptation;Expert Systems with Applications;2024-12

2. Generalized Universal Domain Adaptation;Knowledge-Based Systems;2024-10

3. Label Shift Correction via Bidirectional Marginal Distribution Matching;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

4. Sparse joint shift in multinomial classification;Foundations of Data Science;2024

5. Incomplete Multi-View Learning Under Label Shift;IEEE Transactions on Image Processing;2023

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