model-agnostic explanation

Distribution-Based Feature Attribution for Explaining the Predictions of Any Classifier AAAI 2026 Efficiently Computing Compact Formal Explanations AAAI 2026 Benchmarking Time-localized Explanations for Audio Classification Models Interspeech 2025 Efficient and Rigorous Model-Agnostic Explanations IJCAI 2025 ReX: A Framework for Incorporating Temporal Information in Model-Agnostic Local Explanation Techniques AAAI 2025 CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems AAAI 2024 Identifying Reasons for Bias: An Argumentation-Based Approach AAAI 2024 Temporal Logic Explanations for Dynamic Decision Systems Using Anchors and Monte Carlo Tree Search (Abstract Reprint) AAAI 2024 Towards Visual Saliency Explanations of Face Verification WACV 2024 Amortized Generation of Sequential Algorithmic Recourses for Black-Box Models AAAI 2022 GrammarSHAP: An Efficient Model-Agnostic and Structure-Aware NLP Explainer ACL 2022 Is this the Right Neighborhood? Accurate and Query Efficient Model Agnostic Explanations NeurIPS 2022 BayLIME: Bayesian local interpretable model-agnostic explanations UAI 2021 Explanations for Monotonic Classifiers. ICML 2021 FIMAP: Feature Importance by Minimal Adversarial Perturbation AAAI 2021 HamiltonDinggg at SemEval-2021 Task 5: Investigating Toxic Span Detection using RoBERTa Pre-training SemEval 2021 Human-grounded Evaluations of Explanation Methods for Text Classification EMNLP 2019 DALEX: Explainers for Complex Predictive Models in R JMLR 2018