NormEnsembleXAI: Unveiling the Strengths and Weaknesses of XAI Ensemble Techniques
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
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| _version_ | 1866909088200261632 |
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| author | Hryniewska-Guzik, Weronika Sawicki, Bartosz Biecek, Przemysław |
| author_facet | Hryniewska-Guzik, Weronika Sawicki, Bartosz Biecek, Przemysław |
| contents | This paper presents a comprehensive comparative analysis of explainable artificial intelligence (XAI) ensembling methods. Our research brings three significant contributions. Firstly, we introduce a novel ensembling method, NormEnsembleXAI, that leverages minimum, maximum, and average functions in conjunction with normalization techniques to enhance interpretability. Secondly, we offer insights into the strengths and weaknesses of XAI ensemble methods. Lastly, we provide a library, facilitating the practical implementation of XAI ensembling, thus promoting the adoption of transparent and interpretable deep learning models. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_17200 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | NormEnsembleXAI: Unveiling the Strengths and Weaknesses of XAI Ensemble Techniques Hryniewska-Guzik, Weronika Sawicki, Bartosz Biecek, Przemysław Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition This paper presents a comprehensive comparative analysis of explainable artificial intelligence (XAI) ensembling methods. Our research brings three significant contributions. Firstly, we introduce a novel ensembling method, NormEnsembleXAI, that leverages minimum, maximum, and average functions in conjunction with normalization techniques to enhance interpretability. Secondly, we offer insights into the strengths and weaknesses of XAI ensemble methods. Lastly, we provide a library, facilitating the practical implementation of XAI ensembling, thus promoting the adoption of transparent and interpretable deep learning models. |
| title | NormEnsembleXAI: Unveiling the Strengths and Weaknesses of XAI Ensemble Techniques |
| topic | Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2401.17200 |