Connecting Interpretability and Robustness in Decision Trees through Separation

14 February 2021

Papers citing "Connecting Interpretability and Robustness in Decision Trees through Separation"

6 / 6 papers shown

Title
Robustness questions the interpretability of graph neural networks: what to do? Kirill Lukyanov Georgii Sazonov Serafim Boyarsky Ilya Makarov AAML 105 0 0 05 May 2025
Interpretable Differencing of Machine Learning Models Swagatam Haldar Diptikalyan Saha Dennis L. Wei Rahul Nair Elizabeth M. Daly 9 1 0 10 Jun 2023
There is no Accuracy-Interpretability Tradeoff in Reinforcement Learning for Mazes Yishay Mansour Michal Moshkovitz Cynthia Rudin FAtt 22 3 0 09 Jun 2022
Interpretable Decision Trees Through MaxSAT Josep Alós Carlos Ansótegui Eduard Torres FAtt 17 8 0 26 Oct 2021
An Analysis of LIME for Text Data Dina Mardaoui Damien Garreau FAtt 122 45 0 23 Oct 2020
A Closer Look at Accuracy vs. Robustness Yao-Yuan Yang Cyrus Rashtchian Hongyang R. Zhang Ruslan Salakhutdinov Kamalika Chaudhuri OOD 66 26 0 05 Mar 2020