interpretable machine learning

Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable? NeurIPS 2024 Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification ICLR 2024 Causal Dependence Plots NeurIPS 2024 Data-faithful Feature Attribution: Mitigating Unobservable Confounders via Instrumental Variables NeurIPS 2024 Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection NeurIPS 2024 Driving Through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving WACV 2024 Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference AAAI 2024 Faithful Vision-Language Interpretation via Concept Bottleneck Models ICLR 2024 Finding Interpretable Class-Specific Patterns through Efficient Neural Search AAAI 2024 Human-Robot Alignment through Interactivity and Interpretability: Don't Assume a ``Spherical Human'' IJCAI 2024 Incremental Residual Concept Bottleneck Models CVPR 2024 Inductive Knowledge Graph Completion with GNNs and Rules: An Analysis COLING 2024 Interactive Mars Image Content-Based Search with Interpretable Machine Learning AAAI 2024 Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents NeurIPS 2024 Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models ACL 2024 iTrendRNN: An Interpretable Trend-Aware RNN for Meteorological Spatiotemporal Prediction AAAI 2024 Learning Performance Maximizing Ensembles with Explainability Guarantees AAAI 2024 Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations EACL 2024 Online Learning of Decision Trees with Thompson Sampling AISTATS 2024 On the Concept Trustworthiness in Concept Bottleneck Models AAAI 2024 Pixel-Grounded Prototypical Part Networks WACV 2024 Plausible Extractive Rationalization through Semi-Supervised Entailment Signal ACL 2024 ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition IJCAI 2024 Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiers IJCAI 2024 Self-Interpretable Graph Learning with Sufficient and Necessary Explanations AAAI 2024