model interpretability

Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set JMLR 2023 Probabilistic Reasoning and Learning for Trustworthy AI AAAI 2023 Rather a Nurse than a Physician - Contrastive Explanations under Investigation EMNLP 2023 Reducing Contextual Bias in Cardiac Magnetic Resonance Imaging Deep Learning Using Contrastive Self-Supervision MLHC 2023 Relevant Walk Search for Explaining Graph Neural Networks ICML 2023 Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching ICML 2023 Robust Explanation for Free or At the Cost of Faithfulness ICML 2023 Sample based Explanations via Generalized Representers NeurIPS 2023 Sequential Integrated Gradients: a simple but effective method for explaining language models ACL 2023 SHAP-IQ: Unified Approximation of any-order Shapley Interactions NeurIPS 2023 Shapley Based Residual Decomposition for Instance Analysis ICML 2023 Symbolic Metamodels for Interpreting Black-Boxes Using Primitive Functions AAAI 2023 The Computational Complexity of Concise Hypersphere Classification ICML 2023 Theoretical and Practical Perspectives on what Influence Functions Do NeurIPS 2023 The Parameterized Complexity of Finding Concise Local Explanations IJCAI 2023 Towards Better Explanations for Object Detection ACML 2023 Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance AAAI 2023 Towards Explainable and Accessible AI EMNLP 2023 Towards Extracting and Understanding the Implicit Rubrics of Transformer Based Automatic Essay Scoring Models ACL 2023 Training Models on Oversampled Data and a Novel Multi-class Annotation Scheme for Dementia Detection ACL 2023 Unfooling Perturbation-Based Post Hoc Explainers AAAI 2023 Unisa at SemEval-2023 Task 3: A SHAP-based method for Propaganda Detection SemEval 2023 Unveiling Concepts Learned by a World-Class Chess-Playing Agent IJCAI 2023 Using Captum to Explain Generative Language Models EMNLP 2023 Variable-Based Calibration for Machine Learning Classifiers AAAI 2023