Description: The package includes the Python implementation of the ATLAS and ATLAS-ADA algorithm
[1], which aim to handle the problem of online label shift (OLaS) with provable guarantees.
References:
[1] Yong Bai*, Yu-Jie Zhang*, Peng Zhao, Masashi Sugiyama, and Zhi-Hua Zhou. Adapting to Online Label Shift with Provable Guarantees. In: Advances in Neural Information Processing Systems 35 (NeurIPS 2022), New Orleans, Louisiana, 2022.
ATTN: This package is free for academic usage. You can run it at your own risk. For other purposes, please contact
Prof. Zhi-Hua Zhou.
ATTN2: This package was developed by
Yong Bai and
Yu-Jie Zhang. For any problem concerning the code, please feel free to contact Mr. Bai.
Requirement: The package was developed with Python and the dependencies are specified in requirements.txt.
Download: [
code] (20.7MB)