feature attribution

Shaping Up SHAP: Enhancing Stability through Layer-Wise Neighbor Selection AAAI 2024 shapiq: Shapley Interactions for Machine Learning NeurIPS 2024 SOInter: A Novel Deep Energy-Based Interpretation Method for Explaining Structured Output Models ICLR 2024 Sparse and Faithful Explanations Without Sparse Models AISTATS 2024 Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution NeurIPS 2024 SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification AISTATS 2024 SyntaxShap: Syntax-aware Explainability Method for Text Generation ACL 2024 Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction AAAI 2024 The Intelligible and Effective Graph Neural Additive Network NeurIPS 2024 Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer CVPR 2024 Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction AAAI 2024 Training for Stable Explanation for Free NeurIPS 2024 Updates on the Complexity of SHAP Scores IJCAI 2024 M^4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models NeurIPS 2023 An Additive Instance-Wise Approach to Multi-class Model Interpretation ICLR 2023 An Attribution Method for Siamese Encoders EMNLP 2023 A Sea of Words: An In-Depth Analysis of Anchors for Text Data AISTATS 2023 Assessing Out-of-Domain Language Model Performance from Few Examples EACL 2023 A Unifying Framework to the Analysis of Interaction Methods using Synergy Functions ICML 2023 Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification CVPR 2023 Cardinality-Minimal Explanations for Monotonic Neural Networks IJCAI 2023 Concept Gradient: Concept-based Interpretation Without Linear Assumption ICLR 2023 Conditional Natural Language Inference EMNLP 2023 Contrastive Corpus Attribution for Explaining Representations ICLR 2023 Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability NeurIPS 2023