Description: The package includes the Python implementation of the method proposed in [1], which aims to reuse a pool of models initially developed for various jobs to help the learner's current job. The proposed method works effectively even when there are unseen parts in the learner's current job.
Reference:
[1] Yu-Jie Zhang, Yu-Hu Yan, Peng Zhao, and Zhi-Hua Zhou. Towards Enabling Learnware to Handle Unseen Jobs. In: Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI'21), online, 2021.
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
Yu-Jie Zhang and
Yu-Hu Yan. For any problem concerning the code, please feel free to contact Mr. Zhang or Mr. Yan.
Requirement: The package was developed with Python 3.7.
Download: [
code] (49MB)