interpretable prediction

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding MIDL 2026 Transparent Networks for Multivariate Time Series AAAI 2026 In-Context Learning of Soft Nearest Neighbor Classifiers for Intelligible Tabular Machine Learning ACL 2025 MPRF: Interpretable Stance Detection through Multi-Path Reasoning Framework EMNLP 2025 No Black Boxes: Interpretable and Interactable Predictive Healthcare with Knowledge-Enhanced Agentic Causal Discovery EMNLP 2025 Decorrelated Variable Importance JMLR 2024 InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions EMNLP 2023 Variational Information Pursuit for Interpretable Predictions ICLR 2023 Bayesian subset selection and variable importance for interpretable prediction and classification JMLR 2022 Controlling Bias Exposure for Fair Interpretable Predictions EMNLP 2022 Interpretable Semantic Photo Geolocation WACV 2022 Optimal Local Explainer Aggregation for Interpretable Prediction AAAI 2022 Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science AAAI 2021 AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration AAAI 2020 CASTER: Predicting Drug Interactions with Chemical Substructure Representation AAAI 2020 Clinical-Coder: Assigning Interpretable ICD-10 Codes to Chinese Clinical Notes ACL 2020 Interpretable and Differentially Private Predictions AAAI 2020 Accurate and Interpretable Factorization Machines AAAI 2019 Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts NeurIPS 2017