Interpretability

Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference AAAI 2024 Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs EMNLP 2024 Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions CVPR 2024 Exploring Diverse Representations for Open Set Recognition AAAI 2024 Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency AAAI 2024 FFAM: Feature Factorization Activation Map for Explanation of 3D Detectors NeurIPS 2024 Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks AAAI 2024 Generative Model for Decision Trees AAAI 2024 G–LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint) AAAI 2024 Hypothesis Testing the Circuit Hypothesis in LLMs NeurIPS 2024 Identifying Important Group of Pixels using Interactions CVPR 2024 Incremental Residual Concept Bottleneck Models CVPR 2024 Interactive Mars Image Content-Based Search with Interpretable Machine Learning AAAI 2024 Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding CVPR 2024 Interpretable Mesomorphic Networks for Tabular Data NeurIPS 2024 Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning AAAI 2024 LACIE: Listener-Aware Finetuning for Calibration in Large Language Models NeurIPS 2024 Latent Concept-based Explanation of NLP Models EMNLP 2024 Learnable Privacy Neurons Localization in Language Models ACL 2024 Learning to Understand: Identifying Interactions via the Möbius Transform NeurIPS 2024 Listenable Maps for Zero-Shot Audio Classifiers NeurIPS 2024 LLM-Check: Investigating Detection of Hallucinations in Large Language Models NeurIPS 2024 LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study EMNLP 2024 Localizing Memorization in SSL Vision Encoders NeurIPS 2024 Locating and Extracting Relational Concepts in Large Language Models ACL 2024