Model Agnostic Supervised Local Explanations

9 July 2018

Papers citing "Model Agnostic Supervised Local Explanations"

50 / 50 papers shown

Title
Axiomatic Explainer Globalness via Optimal Transport Davin Hill Josh Bone A. Masoomi Max Torop Jennifer Dy 110 1 0 13 Mar 2025
Integrated feature analysis for deep learning interpretation and class activation maps Yanli Li Tahereh Hassanzadeh D. Shamonin Monique Reijnierse A. H. V. D. H. Mil B. Stoel 48 0 0 01 Jul 2024
ShapG: new feature importance method based on the Shapley value Chi Zhao Jing Liu Elena Parilina FAtt 141 4 0 29 Jun 2024
Explainable automatic industrial carbon footprint estimation from bank transaction classification using natural language processing Jaime González-González Silvia García-Méndez Francisco de Arriba-Pérez Francisco J. González Castaño Oscar Barba-Seara 38 8 0 23 May 2024
Accurate estimation of feature importance faithfulness for tree models Mateusz Gajewski Adam Karczmarz Mateusz Rapicki Piotr Sankowski 41 0 0 04 Apr 2024
Information-Theoretic State Variable Selection for Reinforcement Learning Charles Westphal Stephen Hailes Mirco Musolesi 26 3 0 21 Jan 2024
BELLA: Black box model Explanations by Local Linear Approximations N. Radulovic Albert Bifet Fabian M. Suchanek FAtt 44 1 0 18 May 2023
HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation Lu Chen Siyu Lou Keyan Zhang Jin Huang Quanshi Zhang TDI FAtt 34 9 0 04 Apr 2023
Explaining text classifiers through progressive neighborhood approximation with realistic samples Yi Cai Arthur Zimek Eirini Ntoutsi Gerhard Wunder AI4TS 24 0 0 11 Feb 2023
Towards Meaningful Anomaly Detection: The Effect of Counterfactual Explanations on the Investigation of Anomalies in Multivariate Time Series Max Schemmer Joshua Holstein Niklas Bauer Niklas Kühl G. Satzger 38 2 0 07 Feb 2023
Explaining Random Forests using Bipolar Argumentation and Markov Networks (Technical Report) Nico Potyka Xiang Yin Francesca Toni 26 10 0 21 Nov 2022
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition through the Lens of Robustness Ya-Hsin Cheng Lihao Liu Shujun Wang Yueming Jin Carola-Bibiane Schönlieb Angelica I. Aviles-Rivero 28 7 0 18 Sep 2022
Use-Case-Grounded Simulations for Explanation Evaluation Valerie Chen Nari Johnson Nicholay Topin Gregory Plumb Ameet Talwalkar FAtt ELM 30 24 0 05 Jun 2022
Towards a Theory of Faithfulness: Faithful Explanations of Differentiable Classifiers over Continuous Data Nico Potyka Xiang Yin Francesca Toni FAtt 24 2 0 19 May 2022
The Solvability of Interpretability Evaluation Metrics Yilun Zhou J. Shah 78 8 0 18 May 2022
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations Aparna Balagopalan Haoran Zhang Kimia Hamidieh Thomas Hartvigsen Frank Rudzicz Marzyeh Ghassemi 45 78 0 06 May 2022
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees Jonathan Brophy Zayd Hammoudeh Daniel Lowd TDI 42 22 0 30 Apr 2022
Exploring Hidden Semantics in Neural Networks with Symbolic Regression Yuanzhen Luo Qiang Lu Xilei Hu Jake Luo Zhiguang Wang 23 0 0 22 Apr 2022
CAIPI in Practice: Towards Explainable Interactive Medical Image Classification E. Slany Yannik Ott Stephan Scheele Jan Paulus Ute Schmid 30 8 0 06 Apr 2022
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection Thabang Mathonsi Terence L van Zyl 40 0 0 25 Feb 2022
Human-Centered Concept Explanations for Neural Networks Chih-Kuan Yeh Been Kim Pradeep Ravikumar FAtt 47 26 0 25 Feb 2022
Prolog-based agnostic explanation module for structured pattern classification Gonzalo Nápoles Fabian Hoitsma A. Knoben A. Jastrzębska Maikel Leon Espinosa 25 13 0 23 Dec 2021
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View Di Jin Elena Sergeeva W. Weng Geeticka Chauhan Peter Szolovits OOD 56 55 0 05 Dec 2021
Counterfactual Shapley Additive Explanations Emanuele Albini Jason Long Danial Dervovic Daniele Magazzeni 31 49 0 27 Oct 2021
XPROAX-Local explanations for text classification with progressive neighborhood approximation Yi Cai Arthur Zimek Eirini Ntoutsi 27 5 0 30 Sep 2021
Instance-Based Neural Dependency Parsing Hiroki Ouchi Jun Suzuki Sosuke Kobayashi Sho Yokoi Tatsuki Kuribayashi Masashi Yoshikawa Kentaro Inui 44 3 0 28 Sep 2021
Improved Feature Importance Computations for Tree Models: Shapley vs. Banzhaf Adam Karczmarz A. Mukherjee Piotr Sankowski Piotr Wygocki FAtt TDI 30 6 0 09 Aug 2021
On Locality of Local Explanation Models Sahra Ghalebikesabi Lucile Ter-Minassian Karla Diaz-Ordaz Chris Holmes FedML FAtt 28 39 0 24 Jun 2021
Synthetic Benchmarks for Scientific Research in Explainable Machine Learning Yang Liu Sujay Khandagale Colin White Willie Neiswanger 39 65 0 23 Jun 2021
A Framework for Evaluating Post Hoc Feature-Additive Explainers Zachariah Carmichael Walter J. Scheirer FAtt 51 4 0 15 Jun 2021
Information-theoretic Evolution of Model Agnostic Global Explanations Sukriti Verma Nikaash Puri Piyush B. Gupta Balaji Krishnamurthy FAtt 29 0 0 14 May 2021
On the Computational Intelligibility of Boolean Classifiers Gilles Audemard S. Bellart Louenas Bounia F. Koriche Jean-Marie Lagniez Pierre Marquis 24 56 0 13 Apr 2021
Interpretable Machine Learning: Moving From Mythos to Diagnostics Valerie Chen Jeffrey Li Joon Sik Kim Gregory Plumb Ameet Talwalkar 32 29 0 10 Mar 2021
Forest Guided Smoothing I. Verdinelli Larry A. Wasserman 33 3 0 08 Mar 2021
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations Sérgio Jesus Catarina Belém Vladimir Balayan João Bento Pedro Saleiro P. Bizarro João Gama 136 119 0 21 Jan 2021
Efficient Estimation of Influence of a Training Instance Sosuke Kobayashi Sho Yokoi Jun Suzuki Kentaro Inui TDI 37 15 0 08 Dec 2020
Why model why? Assessing the strengths and limitations of LIME Jurgen Dieber S. Kirrane FAtt 26 97 0 30 Nov 2020
Explaining Deep Neural Networks Oana-Maria Camburu XAI FAtt 38 26 0 04 Oct 2020
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability Dylan Slack Sophie Hilgard Sameer Singh Himabindu Lakkaraju FAtt 29 162 0 11 Aug 2020
Adversarial Infidelity Learning for Model Interpretation Jian Liang Bing Bai Yuren Cao Kun Bai Fei-Yue Wang AAML 62 18 0 09 Jun 2020
Evaluating and Aggregating Feature-based Model Explanations Umang Bhatt Adrian Weller J. M. F. Moura XAI 38 218 0 01 May 2020
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection Hanjie Chen Guangtao Zheng Yangfeng Ji FAtt 38 92 0 04 Apr 2020
Model Agnostic Multilevel Explanations Karthikeyan N. Ramamurthy B. Vinzamuri Yunfeng Zhang Amit Dhurandhar 31 41 0 12 Mar 2020
Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation Raha Moraffah Mansooreh Karami Ruocheng Guo A. Raglin Huan Liu CML ELM XAI 32 213 0 09 Mar 2020
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods Oana-Maria Camburu Eleonora Giunchiglia Jakob N. Foerster Thomas Lukasiewicz Phil Blunsom FAtt AAML 34 60 0 04 Oct 2019
FACE: Feasible and Actionable Counterfactual Explanations Rafael Poyiadzi Kacper Sokol Raúl Santos-Rodríguez T. D. Bie Peter A. Flach 27 365 0 20 Sep 2019
DLIME: A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosis Systems Muhammad Rehman Zafar N. Khan FAtt 14 153 0 24 Jun 2019
Explainable AI for Trees: From Local Explanations to Global Understanding Scott M. Lundberg G. Erion Hugh Chen A. DeGrave J. Prutkin B. Nair R. Katz J. Himmelfarb N. Bansal Su-In Lee FAtt 28 286 0 11 May 2019
Regularizing Black-box Models for Improved Interpretability Gregory Plumb Maruan Al-Shedivat Ángel Alexander Cabrera Adam Perer Eric Xing Ameet Talwalkar AAML 26 79 0 18 Feb 2019
On the (In)fidelity and Sensitivity for Explanations Chih-Kuan Yeh Cheng-Yu Hsieh A. Suggala David I. Inouye Pradeep Ravikumar FAtt 39 449 0 27 Jan 2019