global explanation

GLANCE: Global Actions in a Nutshell for Counterfactual Explainability AAAI 2026 QPM: Discrete Optimization for Globally Interpretable Image Classification ICLR 2025 Discovering Biases in Information Retrieval Models Using Relevance Thesaurus as Global Explanation EMNLP 2024 GraphTrail: Translating GNN Predictions into Human-Interpretable Logical Rules NeurIPS 2024 GLOBE-CE: A Translation Based Approach for Global Counterfactual Explanations ICML 2023 “Honey, Tell Me What’s Wrong”, Global Explanation of Textual Discriminative Models through Cooperative Generation EMNLP 2023 Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set JMLR 2023 Visualizing Global Explanations of Point Cloud DNNs WACV 2023 DALE: Differential Accumulated Local Effects for efficient and accurate global explanations ACML 2022 Example or Prototype? Learning Concept-Based Explanations in Time-Series ACML 2022 Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps (Extended Abstract) IJCAI 2022 NoiseGrad — Enhancing Explanations by Introducing Stochasticity to Model Weights AAAI 2022 Alibi Explain: Algorithms for Explaining Machine Learning Models JMLR 2021 Model Agnostic Multilevel Explanations NeurIPS 2020 Towards Global Explanations of Convolutional Neural Networks With Concept Attribution CVPR 2020