feature attribution
- DePass: Unified Feature Attributing by Simple Decomposed Forward Pass
- OrdShap: Feature Position Importance for Sequential Black-Box Models
- Regression-adjusted Monte Carlo Estimators for Shapley Values and Probabilistic Values
- SHAP values via sparse Fourier representation
- ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models