interpretable machine learning

139 papers

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Also known as

XAI IML

Co-occurring keywords

interpretable model (158) decision tree (322) concept bottleneck model (41) neural network (6616) explainable ai (478) model interpretability (510) image classification (1943) concept bottleneck (29) text classification (6776) model explanation (154)

Papers

Stochastic Concept Bottleneck Models NIPS 2024

Thesis Summary: Operationalizing User-Inclusive Transparency in Artificial Intelligence Systems AAAI 2024

ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization AAAI 2024

REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization CONLL 2023

Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size IJCAI 2023

N$\text{A}^{\text{2}}$Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning ICML 2023

Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery AAAI 2023

The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet Generation ACL 2023

This Reads Like That: Deep Learning for Interpretable Natural Language Processing EMNLP 2023

Auxiliary Losses for Learning Generalizable Concept-based Models NIPS 2023

This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations NIPS 2023

Learning to Receive Help: Intervention-Aware Concept Embedding Models NIPS 2023

Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals MIDL 2023

Interpretable differencing of machine learning models UAI 2023

Heavy Sets with Applications to Interpretable Machine Learning Diagnostics AISTATS 2023

Concept Correlation and Its Effects on Concept-Based Models WACV 2023

Probabilistic Concept Bottleneck Models ICML 2023

Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat ICML 2023

Self-Interpretable Time Series Prediction with Counterfactual Explanations ICML 2023

Computing Abductive Explanations for Boosted Regression Trees IJCAI 2023

Interactive Concept Bottleneck Models AAAI 2023

Symbolic Metamodels for Interpreting Black-Boxes Using Primitive Functions AAAI 2023

Combining Runtime Monitoring and Machine Learning with Human Feedback AAAI 2023

COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP ACL 2023

Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification CVPR 2023