feature importance

BlockBoost: Scalable and Efficient Blocking through Boosting AISTATS 2024 BMX: Boosting Natural Language Generation Metrics with Explainability EACL 2024 CGS-Mask: Making Time Series Predictions Intuitive for All AAAI 2024 CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal Feature Removal Problem AAAI 2024 Counterfactuals As a Means for Evaluating Faithfulness of Attribution Methods in Autoregressive Language Models EMNLP 2024 Data-Driven Structural Fire Risk Prediction for City Properties AAAI 2024 Discretionary Trees: Understanding Street-Level Bureaucracy via Machine Learning AAAI 2024 G–LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint) AAAI 2024 Improving Decision Sparsity NeurIPS 2024 Information-theoretic hypothesis generation of relative cue weighting for the voicing contrast Interspeech 2024 Learning Performance Maximizing Ensembles with Explainability Guarantees AAAI 2024 On the Impact of Neighbourhood Sampling to Satisfy Sufficiency and Necessity Criteria in Explainable AI CLeaR 2024 Permutation-Based Hypothesis Testing for Neural Networks AAAI 2024 Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiers IJCAI 2024 SHAP@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-K Features AAAI 2024 Sparse and Faithful Explanations Without Sparse Models AISTATS 2024 Testing Semantic Importance via Betting NeurIPS 2024 The Key Points: Using Feature Importance to Identify Shortcomings in Sign Language Recognition Models COLING 2024 Using Machine Learning to Predict Item Difficulty and Response Time in Medical Tests NAACL 2024 A Statistical Exploration of Text Partition Into Constituents: The Case of the Priestly Source in the Books of Genesis and Exodus ACL 2023 Attribution-based Explanations that Provide Recourse Cannot be Robust JMLR 2023 Deletion and Insertion Tests in Regression Models JMLR 2023 Efficient SAGE Estimation via Causal Structure Learning AISTATS 2023 Enhancing textual counterfactual explanation intelligibility through Counterfactual Feature Importance ACL 2023 Evaluating Factors Influencing COVID-19 Outcomes across Countries Using Decision Trees (Student Abstract) AAAI 2023