Certifying ensembles: a general certification theory with s-lipschitzness
Improving and guaranteeing the robustness of deep learning models has been a topic of intense research. Ensembling, which combines several classifiers to provide a better model, has shown to be beneficial for generalisation, uncertainty estimation, calibration, and mitigating the effects of concept...
| Κύριοι συγγραφείς: | , , , , |
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| Μορφή: | Conference item |
| Γλώσσα: | English |
| Έκδοση: |
Journal of Machine Learning Research
2023
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