feature attribution

Neighboring Words Affect Human Interpretation of Saliency Explanations ACL 2023 NxPlain: A Web-based Tool for Discovery of Latent Concepts EACL 2023 On the Robustness of Removal-Based Feature Attributions NeurIPS 2023 Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set JMLR 2023 Re-calibrating Feature Attributions for Model Interpretation ICLR 2023 Rethinking Interpretation: Input-Agnostic Saliency Mapping of Deep Visual Classifiers AAAI 2023 Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods ACL 2023 SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanations NeurIPS 2023 Sequential Integrated Gradients: a simple but effective method for explaining language models ACL 2023 SHAP-IQ: Unified Approximation of any-order Shapley Interactions NeurIPS 2023 SketchXAI: A First Look at Explainability for Human Sketches CVPR 2023 Stability Guarantees for Feature Attributions with Multiplicative Smoothing NeurIPS 2023 Studying How to Efficiently and Effectively Guide Models with Explanations ICCV 2023 Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables ICML 2023 The Solvability of Interpretability Evaluation Metrics EACL 2023 Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance AAAI 2023 Towards credible visual model interpretation with path attribution ICML 2023 Towards Extracting and Understanding the Implicit Rubrics of Transformer Based Automatic Essay Scoring Models ACL 2023 Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training ACL 2023 Towards More Robust Interpretation via Local Gradient Alignment AAAI 2023 Trade-off Between Efficiency and Consistency for Removal-based Explanations NeurIPS 2023 TRAK: Attributing Model Behavior at Scale ICML 2023 Two-stage holistic and contrastive explanation of image classification UAI 2023 Use perturbations when learning from explanations NeurIPS 2023 Using Captum to Explain Generative Language Models EMNLP 2023