Efficient Search for Diverse Coherent Explanations

2 January 2019

Papers citing "Efficient Search for Diverse Coherent Explanations"

29 / 129 papers shown

Title
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning Eoin M. Kenny Mark T. Keane 28 99 0 10 Sep 2020
Model extraction from counterfactual explanations Ulrich Aïvodji Alexandre Bolot Sébastien Gambs MIACV MLAU 33 51 0 03 Sep 2020
DECE: Decision Explorer with Counterfactual Explanations for Machine Learning Models Furui Cheng Yao Ming Huamin Qu CML HAI 11 99 0 19 Aug 2020
Causality Learning: A New Perspective for Interpretable Machine Learning Guandong Xu Tri Dung Duong Q. Li S. Liu Xianzhi Wang XAI OOD CML 16 52 0 27 Jun 2020
Counterfactual explanation of machine learning survival models M. Kovalev Lev V. Utkin CML OffRL 34 19 0 26 Jun 2020
On Counterfactual Explanations under Predictive Multiplicity Martin Pawelczyk Klaus Broelemann Gjergji Kasneci 25 85 0 23 Jun 2020
Getting a CLUE: A Method for Explaining Uncertainty Estimates Javier Antorán Umang Bhatt T. Adel Adrian Weller José Miguel Hernández-Lobato UQCV BDL 50 112 0 11 Jun 2020
An ASP-Based Approach to Counterfactual Explanations for Classification Leopoldo Bertossi CML 37 15 0 28 Apr 2020
Multi-Objective Counterfactual Explanations Susanne Dandl Christoph Molnar Martin Binder B. Bischl 30 252 0 23 Apr 2020
Algorithmic Recourse: from Counterfactual Explanations to Interventions Amir-Hossein Karimi Bernhard Schölkopf Isabel Valera CML 24 337 0 14 Feb 2020
Decisions, Counterfactual Explanations and Strategic Behavior Stratis Tsirtsis Manuel Gomez Rodriguez 27 58 0 11 Feb 2020
"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans Vivian Lai Han Liu Chenhao Tan 35 139 0 14 Jan 2020
Auditing and Debugging Deep Learning Models via Decision Boundaries: Individual-level and Group-level Analysis Roozbeh Yousefzadeh D. O’Leary AAML FAtt 13 5 0 03 Jan 2020
Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers Divyat Mahajan Chenhao Tan Amit Sharma OOD CML 28 206 0 06 Dec 2019
Counterfactual Explanation Algorithms for Behavioral and Textual Data Yanou Ramon David Martens F. Provost Theodoros Evgeniou FAtt 31 87 0 04 Dec 2019
FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles Ana Lucic Harrie Oosterhuis H. Haned Maarten de Rijke LRM 14 61 0 27 Nov 2019
On the computation of counterfactual explanations -- A survey André Artelt Barbara Hammer LRM 30 50 0 15 Nov 2019
Learning Model-Agnostic Counterfactual Explanations for Tabular Data Martin Pawelczyk Johannes Haug Klaus Broelemann Gjergji Kasneci OOD CML 33 199 0 21 Oct 2019
Extracting Incentives from Black-Box Decisions Yonadav Shavit William S. Moses 6 9 0 13 Oct 2019
FACE: Feasible and Actionable Counterfactual Explanations Rafael Poyiadzi Kacper Sokol Raúl Santos-Rodríguez T. D. Bie Peter A. Flach 13 365 0 20 Sep 2019
Scalable Explanation of Inferences on Large Graphs Chao Chen Yuhang Liu Xi Zhang Sihong Xie 19 6 0 13 Aug 2019
Why Does My Model Fail? Contrastive Local Explanations for Retail Forecasting Ana Lucic H. Haned Maarten de Rijke 12 62 0 17 Jul 2019
Issues with post-hoc counterfactual explanations: a discussion Thibault Laugel Marie-Jeanne Lesot Christophe Marsala Marcin Detyniecki CML 107 44 0 11 Jun 2019
Model-Agnostic Counterfactual Explanations for Consequential Decisions Amir-Hossein Karimi Gilles Barthe Borja Balle Isabel Valera 44 318 0 27 May 2019
CERTIFAI: Counterfactual Explanations for Robustness, Transparency, Interpretability, and Fairness of Artificial Intelligence models Shubham Sharma Jette Henderson Joydeep Ghosh 11 87 0 20 May 2019
Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations R. Mothilal Amit Sharma Chenhao Tan CML 34 994 0 19 May 2019
Multi-Differential Fairness Auditor for Black Box Classifiers Xavier Gitiaux Huzefa Rangwala FaML 19 7 0 18 Mar 2019
Manipulating and Measuring Model Interpretability Forough Poursabzi-Sangdeh D. Goldstein Jake M. Hofman Jennifer Wortman Vaughan Hanna M. Wallach 37 685 0 21 Feb 2018
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017