shap value

Beyond Data Quantity: Key Factors Driving Performance in Multilingual Language Models COLING 2025 X-Hacking: The Threat of Misguided AutoML ICML 2025 Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions AISTATS 2024 Incorporating Word Count Information into Depression Risk Summary Generation: INF@UoS CLPsych 2024 Submission EACL 2024 Modeling Moravian Memoirs: Ternary Sentiment Analysis in a Low Resource Setting EACL 2024 SHAP@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-K Features AAAI 2024 Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap AAAI 2023 Unifying local and global model explanations by functional decomposition of low dimensional structures AISTATS 2023 GrammarSHAP: An Efficient Model-Agnostic and Structure-Aware NLP Explainer ACL 2022 Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models. ICML 2022 Manipulating SHAP via Adversarial Data Perturbations (Student Abstract) AAAI 2022 Unified Auto Clinical Scoring (Uni-ACS) with Interpretable ML models MLHC 2022 Towards Better Explanations of Class Activation Mapping ICCV 2021 Using Small Business Banking Data for Explainable Credit Risk Scoring AAAI 2020