Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness

14 March 2019

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

4 / 4 papers shown

Title
Knowledge Distillation of Convolutional Neural Networks through Feature Map Transformation using Decision Trees Maddimsetti Srinivas Debdoot Sheet FAtt 37 0 0 10 Mar 2024
Using Knowledge Distillation to improve interpretable models in a retail banking context Maxime Biehler Mohamed Guermazi Célim Starck 62 2 0 30 Sep 2022
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 Thibaut Vidal Toni Pacheco Maximilian Schiffer 62 53 0 24 Mar 2020