concept-based explanation

State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding NeurIPS 2023 Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs IJCAI 2023 A Framework for Learning Ante-Hoc Explainable Models via Concepts CVPR 2022 Algorithmic Concept-Based Explainable Reasoning AAAI 2022 Attention-based Interpretability with Concept Transformers ICLR 2022 CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior NeurIPS 2022 Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset ICLR 2022 Example or Prototype? Learning Concept-Based Explanations in Time-Series ACML 2022 HINT: Hierarchical Neuron Concept Explainer CVPR 2022 SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained debugging and analysis NeurIPS 2022 Towards Automating Model Explanations with Certified Robustness Guarantees AAAI 2022 Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information EMNLP 2022 A Peek Into the Reasoning of Neural Networks: Interpreting With Structural Visual Concepts CVPR 2021 Debiasing Concept-based Explanations with Causal Analysis ICLR 2021 Explanation-based Data Augmentation for Image Classification NeurIPS 2021 Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors AAAI 2021 CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines AAAI 2020 On Completeness-aware Concept-Based Explanations in Deep Neural Networks NeurIPS 2020 Towards Automatic Concept-based Explanations NeurIPS 2019