interpretable model

Interpretable Sparse System Identification: Beyond Recent Deep Learning Techniques on Time-Series Prediction ICLR 2024 iTrendRNN: An Interpretable Trend-Aware RNN for Meteorological Spatiotemporal Prediction AAAI 2024 It’s All Relative: Learning Interpretable Models for Scoring Subjective Bias in Documents from Pairwise Comparisons EACL 2024 Language Model Guided Interpretable Video Action Reasoning CVPR 2024 Learning Small Decision Trees for Data of Low Rank-Width AAAI 2024 MINTY: Rule-based models that minimize the need for imputing features with missing values AISTATS 2024 NeSyFOLD: A Framework for Interpretable Image Classification AAAI 2024 On the Concept Trustworthiness in Concept Bottleneck Models AAAI 2024 Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles AISTATS 2024 Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics NeurIPS 2024 The Intelligible and Effective Graph Neural Additive Network NeurIPS 2024 Unified Transfer Learning in High-Dimensional Linear Regression AISTATS 2024 Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties AAAI 2024 ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization AAAI 2024 Wrapper Boxes for Faithful Attribution of Model Predictions to Training Data EMNLP 2024 A Simple and Flexible Modeling for Mental Disorder Detection by Learning from Clinical Questionnaires ACL 2023 Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings NeurIPS 2023 Claim-Dissector: An Interpretable Fact-Checking System with Joint Re-ranking and Veracity Prediction ACL 2023 Data-Driven Subgroup Identification for Linear Regression ICML 2023 Encoding Domain Knowledge in Multi-view Latent Variable Models: A Bayesian Approach with Structured Sparsity AISTATS 2023 Feature Learning for Interpretable, Performant Decision Trees NeurIPS 2023 Interpretable Multimodal Misinformation Detection with Logic Reasoning ACL 2023 Interpretable Neural-Symbolic Concept Reasoning ICML 2023 Kernel Logistic Regression Approximation of an Understandable ReLU Neural Network ICML 2023 Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification CVPR 2023