Papers citing 'Model-Based Counterfactual Synthesizer for Interpretation'

Title
Watermarking Counterfactual Explanations Hangzhi Guo Amulya Yadav AAML 172 0 0 29 May 2024
Causal Generative Explainers using Counterfactual Inference: A Case Study on the Morpho-MNIST DatasetPattern Analysis and Applications (PAA), 2024 William Taylor-Melanson Zahra Sadeghi Stan Matwin CML 143 7 0 21 Jan 2024
For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI Ulrike Kuhl André Artelt Barbara Hammer 182 5 0 13 Jun 2023
Achieving Diversity in Counterfactual Explanations: a Review and DiscussionConference on Fairness, Accountability and Transparency (FAccT), 2023 Thibault Laugel Adulam Jeyasothy Marie-Jeanne Lesot Christophe Marsala Marcin Detyniecki CML 153 15 0 10 May 2023
Efficient XAI Techniques: A Taxonomic Survey Yu-Neng Chuang Guanchu Wang Fan Yang Zirui Liu Xuanting Cai Mengnan Du Helen Zhou 170 38 0 07 Feb 2023
Decomposing Counterfactual Explanations for Consequential Decision Making Martin Pawelczyk Lea Tiyavorabun Gjergji Kasneci CML 125 1 0 03 Nov 2022
Differentially Private Counterfactuals via Functional Mechanism Fan Yang Qizhang Feng Kaixiong Zhou Jiahao Chen Helen Zhou 127 14 0 04 Aug 2022
Accelerating Shapley Explanation via Contributive Cooperator SelectionInternational Conference on Machine Learning (ICML), 2022 Guanchu Wang Yu-Neng Chuang Mengnan Du Fan Yang Quan-Gen Zhou Pushkar Tripathi Xuanting Cai Helen Zhou FAtt 169 25 0 17 Jun 2022
RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse ModelInternational Conference on Information and Knowledge Management (CIKM), 2022 Hangzhi Guo Feiran Jia Jinghui Chen Anna Squicciarini A. Yadav OOD 320 12 0 01 Jun 2022
FIND:Explainable Framework for Meta-learning Xinyue Shao Hongzhi Wang Xiao-Wen Zhu Feng Xiong FedML 105 4 0 20 May 2022
Diverse, Global and Amortised Counterfactual Explanations for Uncertainty EstimatesAAAI Conference on Artificial Intelligence (AAAI), 2021 Dan Ley Umang Bhatt Adrian Weller UQCV 416 25 0 05 Dec 2021
Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems Siyu Wang Yuanjiang Cao Xiaocong Chen Weitong Chen Xianzhi Wang Quan.Z Sheng AAML 111 3 0 02 Dec 2021
MCCE: Monte Carlo sampling of realistic counterfactual explanations Annabelle Redelmeier Martin Jullum K. Aas Anders Løland BDL 148 11 0 18 Nov 2021
CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations Hangzhi Guo T. Nguyen A. Yadav OffRL 138 21 0 15 Sep 2021
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A ReviewACM Computing Surveys (ACM CSUR), 2020 Sahil Verma Varich Boonsanong Minh Hoang Keegan E. Hines John P. Dickerson Chirag Shah CML 628 229 0 20 Oct 2020
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.9K 19,245 0 16 Feb 2016