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Covered Information Disentanglement: Model Transparency via Unbiased
  Permutation Importance
v1v2 (latest)

Covered Information Disentanglement: Model Transparency via Unbiased Permutation Importance

18 November 2021
J. Pereira
E. Stroes
A. Zwinderman
E. Levin
    AAML
ArXiv (abs)PDFHTML

Papers citing "Covered Information Disentanglement: Model Transparency via Unbiased Permutation Importance"

2 / 2 papers shown
Trustworthiness in Retrieval-Augmented Generation Systems: A Survey
Trustworthiness in Retrieval-Augmented Generation Systems: A Survey
Yujia Zhou
Yan Liu
Xiaoxi Li
Jiajie Jin
Hongjin Qian
Zheng Liu
Chaozhuo Li
Zhicheng Dou
Tsung-Yi Ho
Philip S. Yu
3DVRALM
321
91
0
16 Sep 2024
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
2.7K
21,148
0
16 Feb 2016
1
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