Beyond Sparsity: Tree Regularization of Deep Models for Interpretability

16 November 2017

Finale Doshi-Velez

Papers citing "Beyond Sparsity: Tree Regularization of Deep Models for Interpretability"

43 / 43 papers shown

Title
AOTree: Aspect Order Tree-based Model for Explainable Recommendation Wenxin Zhao Peng Zhang Hansu Gu Dongsheng Li T. Lu Ning Gu 26 0 0 29 Jul 2024
Logical Distillation of Graph Neural Networks Alexander Pluska Pascal Welke Thomas Gärtner Sagar Malhotra 28 0 0 11 Jun 2024
Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement Avani Gupta Saurabh Saini P. J. Narayanan 25 6 0 26 Nov 2023
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 31 7 0 16 Nov 2023
SCAAT: Improving Neural Network Interpretability via Saliency Constrained Adaptive Adversarial Training Rui Xu Wenkang Qin Peixiang Huang Hao Wang Lin Luo FAtt AAML 28 2 0 09 Nov 2023
Interpretability-Aware Vision Transformer Yao Qiang Chengyin Li Prashant Khanduri D. Zhu ViT 82 7 0 14 Sep 2023
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When? M. Rubaiyat Hossain Mondal Prajoy Podder 20 56 0 10 Apr 2023
LEURN: Learning Explainable Univariate Rules with Neural Networks Çağlar Aytekin FAtt 29 0 0 27 Mar 2023
Does a Neural Network Really Encode Symbolic Concepts? Mingjie Li Quanshi Zhang 21 30 0 25 Feb 2023
Neural Networks are Decision Trees Çağlar Aytekin FAtt 32 24 0 11 Oct 2022
Computing Abductive Explanations for Boosted Trees Gilles Audemard Jean-Marie Lagniez Pierre Marquis N. Szczepanski 26 12 0 16 Sep 2022
Explainable AI for clinical and remote health applications: a survey on tabular and time series data Flavio Di Martino Franca Delmastro AI4TS 28 90 0 14 Sep 2022
A Survey of Neural Trees Haoling Li Jie Song Mengqi Xue Haofei Zhang Jingwen Ye Lechao Cheng Mingli Song AI4CE 20 6 0 07 Sep 2022
Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research Zhibo Zhang H. A. Hamadi Ernesto Damiani C. Yeun Fatma Taher AAML 29 148 0 31 Aug 2022
NN2Rules: Extracting Rule List from Neural Networks G. R. Lal Varun Mithal 12 1 0 04 Jul 2022
Semantic interpretation for convolutional neural networks: What makes a cat a cat? Haonan Xu Yuntian Chen Dongxiao Zhang FAtt 23 3 0 16 Apr 2022
Attributable Visual Similarity Learning Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu 22 17 0 28 Mar 2022
Learning Interpretable, High-Performing Policies for Autonomous Driving Rohan R. Paleja Yaru Niu Andrew Silva Chace Ritchie Sugju Choi Matthew C. Gombolay 21 16 0 04 Feb 2022
Tree-based Focused Web Crawling with Reinforcement Learning A. Kontogiannis Dimitrios Kelesis Vasilis Pollatos G. Paliouras George Giannakopoulos 14 2 0 12 Dec 2021
Learning Optimal Predictive Checklists Haoran Zhang Q. Morris Berk Ustun Marzyeh Ghassemi 26 11 0 02 Dec 2021
Improving Deep Learning Interpretability by Saliency Guided Training Aya Abdelsalam Ismail H. C. Bravo S. Feizi FAtt 20 80 0 29 Nov 2021
Learning Conditional Invariance through Cycle Consistency M. Samarin V. Nesterov Mario Wieser Aleksander Wieczorek S. Parbhoo Volker Roth 39 3 0 25 Nov 2021
"How Does It Detect A Malicious App?" Explaining the Predictions of AI-based Android Malware Detector Zhi Lu V. Thing AAML 19 4 0 06 Nov 2021
Automated Testing of AI Models Swagatam Haldar Deepak Vijaykeerthy Diptikalyan Saha VLM 19 0 0 07 Oct 2021
DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications Dongqi Han Zhiliang Wang Wenqi Chen Ying Zhong Su Wang Han Zhang Jiahai Yang Xingang Shi Xia Yin AAML 16 76 0 23 Sep 2021
A Review on Explainability in Multimodal Deep Neural Nets Gargi Joshi Rahee Walambe K. Kotecha 26 139 0 17 May 2021
Progressive Interpretation Synthesis: Interpreting Task Solving by Quantifying Previously Used and Unused Information Zhengqi He Taro Toyoizumi 19 1 0 08 Jan 2021
Explainable AI for Robot Failures: Generating Explanations that Improve User Assistance in Fault Recovery Devleena Das Siddhartha Banerjee Sonia Chernova 17 113 0 05 Jan 2021
On Explaining Decision Trees Yacine Izza Alexey Ignatiev Sasha Rubin FAtt 21 84 0 21 Oct 2020
Explainable Matrix -- Visualization for Global and Local Interpretability of Random Forest Classification Ensembles Mário Popolin Neto F. Paulovich FAtt 33 88 0 08 May 2020
Explaining Explanations: Axiomatic Feature Interactions for Deep Networks Joseph D. Janizek Pascal Sturmfels Su-In Lee FAtt 30 143 0 10 Feb 2020
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 38 300 0 08 Jan 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot S. Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 37 6,110 0 22 Oct 2019
Interpretable Models for Understanding Immersive Simulations Nicholas Hoernle Yaákov Gal Barbara J. Grosz Leilah Lyons Ada Ren Andee Rubin 19 4 0 24 Sep 2019
Enhancing Decision Tree based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization Nina Schaaf Marco F. Huber Johannes Maucher 18 36 0 10 Apr 2019
Explaining Neural Networks Semantically and Quantitatively Runjin Chen Hao Chen Ge Huang J. Ren Quanshi Zhang FAtt 18 54 0 18 Dec 2018
Learning with Interpretable Structure from Gated RNN Bo-Jian Hou Zhi-Hua Zhou AI4CE 13 69 0 25 Oct 2018
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications G. T. Berge Ole-Christoffer Granmo Tor Tveit Morten Goodwin Lei Jiao B. Matheussen VLM 30 75 0 12 Sep 2018
Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees Guiliang Liu Oliver Schulte Wang Zhu Qingcan Li AI4CE 11 134 0 16 Jul 2018
Human-in-the-Loop Interpretability Prior Isaac Lage A. Ross Been Kim S. Gershman Finale Doshi-Velez 32 120 0 29 May 2018
Network Transplanting Quanshi Zhang Yu Yang Ying Nian Wu Song-Chun Zhu OOD 6 5 0 26 Apr 2018
Deep Learning in Mobile and Wireless Networking: A Survey Chaoyun Zhang P. Patras Hamed Haddadi 36 1,303 0 12 Mar 2018
Bioinformatics and Medicine in the Era of Deep Learning D. Bacciu P. Lisboa José D. Martín R. Stoean A. Vellido AI4CE BDL 33 17 0 27 Feb 2018