{"total":55,"rows":[{"id":"2102.13076","title":"Benchmarking and Survey of Explanation Methods for Black Box Models","created":"2021-02-25","cited_by_count":136,"area":null},{"id":"2108.00783","title":"CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms","created":"2021-08-02","cited_by_count":86,"area":null},{"id":"2103.01035","title":"If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques","created":"2021-02-26","cited_by_count":82,"area":null},{"id":"2301.04011","title":"Learning Support and Trivial Prototypes for Interpretable Image Classification","created":"2023-01-08","cited_by_count":38,"area":null},{"id":"2106.15231","title":"Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis","created":"2021-06-29","cited_by_count":30,"area":null},{"id":"2203.12918","title":"A Rationale-Centric Framework for Human-in-the-loop Machine Learning","created":"2022-03-24","cited_by_count":27,"area":null},{"id":"2208.14878","title":"Formalising the Robustness of Counterfactual Explanations for Neural Networks","created":"2022-08-31","cited_by_count":24,"area":null},{"id":"2301.11970","title":"Even if Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI","created":"2023-01-27","cited_by_count":20,"area":null},{"id":"2107.09734","title":"Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions","created":"2021-07-20","cited_by_count":16,"area":null},{"id":"2204.10152","title":"Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI","created":"2022-04-21","cited_by_count":16,"area":null},{"id":"2309.03234","title":"Natural Example-Based Explainability: a Survey","created":"2023-09-05","cited_by_count":13,"area":null},{"id":"2212.08733","title":"Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ","created":"2022-12-16","cited_by_count":12,"area":null},{"id":"2207.01898","title":"\"Even if ...\" -- Diverse Semifactual Explanations of Reject","created":"2022-07-05","cited_by_count":11,"area":null},{"id":"2312.00092","title":"Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition","created":"2023-11-30","cited_by_count":11,"area":null},{"id":"2211.08285","title":"Identifying Spurious Correlations and Correcting them with an Explanation-based Learning","created":"2022-11-15","cited_by_count":10,"area":null},{"id":"2302.14165","title":"GAM Coach: Towards Interactive and User-centered Algorithmic Recourse","created":"2023-02-27","cited_by_count":9,"area":null},{"id":"2303.09297","title":"Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals","created":"2023-03-16","cited_by_count":9,"area":null},{"id":"2212.02506","title":"This changes to that : Combining causal and non-causal explanations to generate disease progression in capsule endoscopy","created":"2022-12-05","cited_by_count":8,"area":null},{"id":"2310.18937","title":"The Utility of \"Even if...\" Semifactual Explanation to Optimise Positive Outcomes","created":"2023-10-29","cited_by_count":8,"area":null},{"id":"2207.09374","title":"Alterfactual Explanations -- The Relevance of Irrelevance for Explaining AI Systems","created":"2022-07-19","cited_by_count":7,"area":null},{"id":"2111.15639","title":"DeDUCE: Generating Counterfactual Explanations Efficiently","created":"2021-11-29","cited_by_count":6,"area":null},{"id":"2305.02780","title":"Interpretable Regional Descriptors: Hyperbox-Based Local Explanations","created":"2023-05-04","cited_by_count":6,"area":null},{"id":"2403.00980","title":"Even-Ifs From If-Onlys: Are the Best Semi-Factual Explanations Found Using Counterfactuals As Guides?","created":"2024-03-01","cited_by_count":5,"area":null},{"id":"2411.02643","title":"A Comparative Analysis of Counterfactual Explanation Methods for Text Classifiers","created":"2024-11-04","cited_by_count":5,"area":null},{"id":"2401.10938","title":"Even-if Explanations: Formal Foundations, Priorities and Complexity","created":"2024-01-17","cited_by_count":4,"area":null},{"id":"2104.14461","title":"Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation","created":"2021-04-29","cited_by_count":3,"area":null},{"id":"2405.05295","title":"Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiers","created":"2024-05-08","cited_by_count":3,"area":null},{"id":"2107.07095","title":"Applying the Case Difference Heuristic to Learn Adaptations from Deep Network Features","created":"2021-07-15","cited_by_count":2,"area":null},{"id":"2401.06327","title":"Learning from Semi-Factuals: A Debiased and Semantic-Aware Framework for Generalized Relation Discovery","created":"2024-01-12","cited_by_count":2,"area":null},{"id":"2404.12832","title":"COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images","created":"2024-04-19","cited_by_count":2,"area":null},{"id":"2405.04081","title":"Counterfactual and Semifactual Explanations in Abstract Argumentation: Formal Foundations, Complexity and Computation","created":"2024-05-07","cited_by_count":2,"area":null},{"id":"2407.11426","title":"Generally-Occurring Model Change for Robust Counterfactual Explanations","created":"2024-07-16","cited_by_count":2,"area":null},{"id":"2408.10528","title":"NoMatterXAI: Generating \"No Matter What\" Alterfactual Examples for Explaining Black-Box Text Classification Models","created":"2024-08-20","cited_by_count":2,"area":null},{"id":"2501.06841","title":"Faithful Counterfactual Visual Explanations (FCVE)","created":"2025-01-12","cited_by_count":2,"area":null},{"id":"2509.16822","title":"Looking in the mirror: A faithful counterfactual explanation method for interpreting deep image classification models","created":"2025-09-20","cited_by_count":2,"area":null},{"id":"2602.18160","title":"Unifying Formal Explanations: A Complexity-Theoretic Perspective","created":"2026-02-20","cited_by_count":2,"area":null},{"id":"2210.09015","title":"Explaining Image Classification with Visual Debates","created":"2022-10-17","cited_by_count":1,"area":null},{"id":"2301.00189","title":"Mapping Knowledge Representations to Concepts: A Review and New Perspectives","created":"2022-12-31","cited_by_count":1,"area":null},{"id":"2303.11111","title":"Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks","created":"2023-03-17","cited_by_count":1,"area":null},{"id":"2407.16981","title":"Case-Enhanced Vision Transformer: Improving Explanations of Image Similarity with a ViT-based Similarity Metric","created":"2024-07-24","cited_by_count":1,"area":null},{"id":"2410.20890","title":"Generative Example-Based Explanations: Bridging the Gap between Generative Modeling and Explainability","created":"2024-10-28","cited_by_count":1,"area":null},{"id":"2506.20260","title":"Argumentative Ensembling for Robust Recourse under Model Multiplicity","created":"2025-06-25","cited_by_count":1,"area":null},{"id":"2507.09495","title":"GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective","created":"2025-07-13","cited_by_count":1,"area":null},{"id":"2203.15072","title":"Semantic Motion Correction Via Iterative Nonlinear Optimization and Animation","created":"2022-03-28","cited_by_count":0,"area":null},{"id":"2211.02151","title":"Decomposing Counterfactual Explanations for Consequential Decision Making","created":"2022-11-03","cited_by_count":0,"area":null},{"id":"2212.07432","title":"Counterfactual Explanations for Support Vector Machine Models","created":"2022-12-14","cited_by_count":0,"area":null},{"id":"2302.03302","title":"Towards Meaningful Anomaly Detection: The Effect of Counterfactual Explanations on the Investigation of Anomalies in Multivariate Time Series","created":"2023-02-07","cited_by_count":0,"area":null},{"id":"2307.06941","title":"On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations","created":"2023-07-13","cited_by_count":0,"area":null},{"id":"2308.01138","title":"Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases","created":"2023-08-02","cited_by_count":0,"area":null},{"id":"2405.20685","title":"Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space","created":"2024-05-31","cited_by_count":0,"area":null},{"id":"2410.20320","title":"Few-shot Open Relation Extraction with Gaussian Prototype and Adaptive Margin","created":"2024-10-27","cited_by_count":0,"area":null},{"id":"2502.08326","title":"Model-Free Counterfactual Subset Selection at Scale","created":"2025-02-12","cited_by_count":0,"area":null},{"id":"2601.09455","title":"On the Hardness of Computing Counterfactual and Semifactual Explanations in XAI","created":"2026-01-14","cited_by_count":0,"area":null},{"id":"2603.17534","title":"Informative Semi-Factuals for XAI: The Elaborated Explanations that People Prefer","created":"2026-03-18","cited_by_count":0,"area":null},{"id":"2604.14209","title":"Towards Verified and Targeted Explanations through Formal Methods","created":"2026-04-05","cited_by_count":0,"area":null}],"next_cursor":null}