Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

20 October 2020

Papers citing "Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review"

50 / 66 papers shown

Title
Counterfactual Explanations for Continuous Action Reinforcement Learning Shuyang Dong Shangtong Zhang Lu Feng OffRL LRM 37 0 0 19 May 2025
S-CFE: Simple Counterfactual Explanations Shpresim Sadiku Moritz Wagner Sai Ganesh Nagarajan Sebastian Pokutta 78 0 0 21 Oct 2024
What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless Systems Qiushuo Hou Sangwoo Park Matteo Zecchin Yunlong Cai Guanding Yu Osvaldo Simeone 192 1 0 30 Sep 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 174 31 0 30 Aug 2024
Evaluating the Reliability of Self-Explanations in Large Language Models Korbinian Randl John Pavlopoulos Aron Henriksson Tony Lindgren LRM 81 0 0 19 Jul 2024
Who Followed the Blueprint? Analyzing the Responses of U.S. Federal Agencies to the Blueprint for an AI Bill of Rights Darren Lage Riley Pruitt Jason Ross Arnold ELM 18 39 0 29 Apr 2024
Counterfactual Influence in Markov Decision Processes Milad Kazemi Jessica Lally Ekaterina Tishchenko Hana Chockler Nicola Paoletti 46 1 0 13 Feb 2024
Distributional Counterfactual Explanations With Optimal Transport Lei You Lele Cao Mattias Nilsson Bo Zhao Lei Lei OT OffRL 63 1 0 23 Jan 2024
Identifying Spurious Correlations using Counterfactual Alignment Joseph Paul Cohen Louis Blankemeier Akshay S. Chaudhari CML 68 1 0 01 Dec 2023
Navigating Explanatory Multiverse Through Counterfactual Path Geometry Kacper Sokol E. Small Yueqing Xuan 53 5 0 05 Jun 2023
ASQ-IT: Interactive Explanations for Reinforcement-Learning Agents Yotam Amitai Guy Avni Ofra Amir 59 3 0 24 Jan 2023
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges Mario Alfonso Prado-Romero Bardh Prenkaj Giovanni Stilo F. Giannotti CML 80 32 0 21 Oct 2022
Gradient-based Counterfactual Explanations using Tractable Probabilistic Models Xiaoting Shao Kristian Kersting BDL 36 1 0 16 May 2022
DualCF: Efficient Model Extraction Attack from Counterfactual Explanations Yongjie Wang Hangwei Qian Chunyan Miao AAML 24 31 0 13 May 2022
"If it didn't happen, why would I change my decision?": How Judges Respond to Counterfactual Explanations for the Public Safety Assessment Yaniv Yacoby Ben Green Christopher L. Griffin Finale Doshi Velez 50 16 0 11 May 2022
Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI Greta Warren Mark T. Keane R. Byrne CML 36 22 0 21 Apr 2022
Global Counterfactual Explanations: Investigations, Implementations and Improvements Dan Ley Saumitra Mishra Daniele Magazzeni LRM 68 12 0 14 Apr 2022
Cycle-Consistent Counterfactuals by Latent Transformations Saeed Khorram Li Fuxin BDL 26 32 0 28 Mar 2022
Counterfactually Evaluating Explanations in Recommender Systems Yuanshun Yao Chong Wang Hang Li OffRL LRM 56 6 0 02 Mar 2022
Diffusion Causal Models for Counterfactual Estimation Pedro Sanchez Sotirios A. Tsaftaris DiffM BDL 57 70 0 21 Feb 2022
Counterfactual Plans under Distributional Ambiguity N. Bui D. Nguyen Viet Anh Nguyen 75 25 0 29 Jan 2022
On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations M. Virgolin Saverio Fracaros CML 52 36 0 22 Jan 2022
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis Giovanni De Toni Bruno Lepri Andrea Passerini CML 43 13 0 18 Jan 2022
COIN: Counterfactual Image Generation for VQA Interpretation Zeyd Boukhers Timo Hartmann Jan Jurjens 21 7 0 10 Jan 2022
CRASS: A Novel Data Set and Benchmark to Test Counterfactual Reasoning of Large Language Models Jorg Frohberg Frank Binder SLR 32 28 0 22 Dec 2021
Multi-Domain Transformer-Based Counterfactual Augmentation for Earnings Call Analysis Zixuan Yuan Yada Zhu Wei Zhang Ziming Huang Guangnan Ye Hui Xiong 16 2 0 02 Dec 2021
Solving the Class Imbalance Problem Using a Counterfactual Method for Data Augmentation M. Temraz Markt. Keane 30 45 0 05 Nov 2021
From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems Yao Zhou Haonan Wang Jingrui He Haixun Wang 49 15 0 28 Oct 2021
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models Arjun Reddy Akula Keze Wang Changsong Liu Sari Saba-Sadiya Hongjing Lu S. Todorovic J. Chai Song-Chun Zhu 49 47 0 03 Sep 2021
Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model Kwanseok Oh Jeeseok Yoon Heung-Il Suk FAtt 56 28 0 21 Aug 2021
CARE: Coherent Actionable Recourse based on Sound Counterfactual Explanations P. Rasouli Ingrid Chieh Yu 8 25 0 18 Aug 2021
MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI T. Miura Satoshi Hasegawa Toshiki Shibahara SILM MIACV 37 37 0 19 Jul 2021
DiCE4EL: Interpreting Process Predictions using a Milestone-Aware Counterfactual Approach Chih-Jou Hsieh Catarina Moreira Chun Ouyang 31 28 0 19 Jul 2021
A Causal Perspective on Meaningful and Robust Algorithmic Recourse Gunnar Konig Timo Freiesleben Moritz Grosse-Wentrup 72 17 0 16 Jul 2021
Counterfactual Explanations for Machine Learning: Challenges Revisited Sahil Verma John P Dickerson Keegan E. Hines LRM 25 27 0 14 Jun 2021
Optimal Counterfactual Explanations in Tree Ensembles Axel Parmentier Thibaut Vidal 34 54 0 11 Jun 2021
Counterfactual Explanations for Neural Recommenders Khanh Tran Azin Ghazimatin Rishiraj Saha Roy AAML CML 71 65 0 11 May 2021
Optimal Counterfactual Explanations for Scorecard modelling Guillermo Navas-Palencia 24 9 0 17 Apr 2021
Counterfactual Explanations for Oblique Decision Trees: Exact, Efficient Algorithms Miguel Á. Carreira-Perpiñán Suryabhan Singh Hada CML AAML 20 35 0 01 Mar 2021
Towards Robust and Reliable Algorithmic Recourse Sohini Upadhyay Shalmali Joshi Himabindu Lakkaraju 38 109 0 26 Feb 2021
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification Linyi Yang Eoin M. Kenny T. L. J. Ng Yi Yang Barry Smyth Ruihai Dong 47 70 0 23 Oct 2020
Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples Jaehoon Koo Diego Klabjan J. Utke 45 2 0 29 Sep 2020
Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals Saloni Dash V. Balasubramanian Amit Sharma CML 36 65 0 17 Sep 2020
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples Timo Freiesleben GAN 55 63 0 11 Sep 2020
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning Eoin M. Kenny Mark T. Keane 45 100 0 10 Sep 2020
Fast Real-time Counterfactual Explanations Yunxia Zhao 27 15 0 11 Jul 2020
Getting a CLUE: A Method for Explaining Uncertainty Estimates Javier Antorán Umang Bhatt T. Adel Adrian Weller José Miguel Hernández-Lobato UQCV BDL 60 115 0 11 Jun 2020
ViCE: Visual Counterfactual Explanations for Machine Learning Models Oscar Gomez Steffen Holter Jun Yuan E. Bertini AAML 69 96 0 05 Mar 2020
Algorithmic Recourse: from Counterfactual Explanations to Interventions Amir-Hossein Karimi Bernhard Schölkopf Isabel Valera CML 42 340 0 14 Feb 2020
Counterfactual Explanation Algorithms for Behavioral and Textual Data Yanou Ramon David Martens F. Provost Theodoros Evgeniou FAtt 73 88 0 04 Dec 2019