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Rectified Decision Trees: Towards Interpretability, Compression and
  Empirical Soundness

Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness

14 March 2019
Jiawang Bai
Yiming Li
Jiawei Li
Yong Jiang
Shutao Xia
ArXivPDFHTML

Papers citing "Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness"

3 / 3 papers shown
Title
Using Knowledge Distillation to improve interpretable models in a retail
  banking context
Using Knowledge Distillation to improve interpretable models in a retail banking context
Maxime Biehler
Mohamed Guermazi
Célim Starck
46
2
0
30 Sep 2022
Training Interpretable Convolutional Neural Networks by Differentiating
  Class-specific Filters
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters
Haoyun Liang
Zhihao Ouyang
Yuyuan Zeng
Hang Su
Zihao He
Shutao Xia
Jun Zhu
Bo Zhang
16
47
0
16 Jul 2020
Born-Again Tree Ensembles
Born-Again Tree Ensembles
Thibaut Vidal
Toni Pacheco
Maximilian Schiffer
54
53
0
24 Mar 2020
1