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Using Knowledge Distillation to improve interpretable models in a retail
  banking context

Using Knowledge Distillation to improve interpretable models in a retail banking context

30 September 2022
Maxime Biehler
Mohamed Guermazi
Célim Starck
ArXivPDFHTML

Papers citing "Using Knowledge Distillation to improve interpretable models in a retail banking context"

3 / 3 papers shown
Title
Accurate Explanation Model for Image Classifiers using Class Association Embedding
Accurate Explanation Model for Image Classifiers using Class Association Embedding
Ruitao Xie
Jingbang Chen
Limai Jiang
Rui Xiao
Yi-Lun Pan
Yunpeng Cai
55
4
0
31 Dec 2024
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,672
0
28 Feb 2017
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
160
25,214
0
09 Jun 2011
1