Skip to content

git-disl/HeteRobust

Repository files navigation

Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness

HeteRobust: Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness

The Appendix can be found in the arXiv version: https://arxiv.org/abs/2310.02237

If you find this work useful in your research, please cite the following papers:

Bibtex:

@INPROCEEDINGS{heterobust,
    author={Yanzhao Wu and Ka-Ho Chow and Wenqi Wei and Ling Liu},
    booktitle={2023 IEEE International Conference on Data Mining (ICDM)}, 
    title={Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness}, 
    year={2023},
    volume={},
    number={},
    pages={},
}

This project is developed based on the following resources:

...

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages