Regional Tree Regularization for Interpretability in Black Box Models

Regional Tree Regularization for Interpretability in Black Box Models

13 August 2019

Leo Anthony Celi

Finale Doshi-Velez

Papers citing "Regional Tree Regularization for Interpretability in Black Box Models"

19 / 19 papers shown

Title
Learning Interpretable Logic Rules from Deep Vision Models Chuqin Geng Yuhe Jiang Ziyu Zhao Haolin Ye Zhaoyue Wang X. Si NAI FAtt VLM 80 1 0 13 Mar 2025
Tree-Based Leakage Inspection and Control in Concept Bottleneck Models Angelos Ragkousis Sonali Parbhoo 47 1 0 08 Oct 2024
Enabling Regional Explainability by Automatic and Model-agnostic Rule Extraction Yu Chen Tianyu Cui Alexander Capstick Nan Fletcher-Loyd Payam Barnaghi 41 0 0 25 Jun 2024
A Design Trajectory Map of Human-AI Collaborative Reinforcement Learning Systems: Survey and Taxonomy Zhaoxing Li 30 2 0 16 May 2024
CA-Stream: Attention-based pooling for interpretable image recognition Felipe Torres Hanwei Zhang R. Sicre Stéphane Ayache Yannis Avrithis 62 0 0 23 Apr 2024
An Interpretable Power System Transient Stability Assessment Method with Expert Guiding Neural-Regression-Tree Hanxuan Wang Na Lu Zixuan Wang Jiacheng Liu Jun Liu 28 0 0 03 Apr 2024
Interpretable Reinforcement Learning for Robotics and Continuous Control Rohan R. Paleja Letian Chen Yaru Niu Andrew Silva Zhaoxin Li ... K. Chang H. E. Tseng Yan Wang S. Nageshrao Matthew C. Gombolay 41 7 0 16 Nov 2023
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning Yuyang Gao Siyi Gu Junji Jiang S. Hong Dazhou Yu Liang Zhao 31 39 0 07 Dec 2022
Computing Abductive Explanations for Boosted Trees Gilles Audemard Jean-Marie Lagniez Pierre Marquis N. Szczepanski 44 12 0 16 Sep 2022
A Survey of Neural Trees Haoling Li Mingli Song Mengqi Xue Haofei Zhang Jingwen Ye Lechao Cheng Mingli Song AI4CE 22 6 0 07 Sep 2022
Leveraging Explanations in Interactive Machine Learning: An Overview Stefano Teso Öznur Alkan Wolfgang Stammer Elizabeth M. Daly XAI FAtt LRM 28 62 0 29 Jul 2022
NN2Rules: Extracting Rule List from Neural Networks G. R. Lal Varun Mithal 24 2 0 04 Jul 2022
The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms N. Kuo Mark Polizzotto S. Finfer Federico Garcia Anders Sönnerborg Maurizio Zazzi Michael Böhm Louisa R Jorm S. Barbieri OOD 38 29 0 12 Mar 2022
Learning Interpretable, High-Performing Policies for Autonomous Driving Rohan R. Paleja Yaru Niu Andrew Silva Chace Ritchie Sugju Choi Matthew C. Gombolay 29 16 0 04 Feb 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 30 399 0 20 Jan 2022
Defense Against Explanation Manipulation Ruixiang Tang Ninghao Liu Fan Yang Na Zou Xia Hu AAML 46 11 0 08 Nov 2021
A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 146 665 0 28 Dec 2020
On Explaining Decision Trees Yacine Izza Alexey Ignatiev Sasha Rubin FAtt 24 85 0 21 Oct 2020
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017