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Interpretability

512 papers

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Papers

Interpretability with full complexity by constraining feature information ICLR 2023 Interpreting Unfairness in Graph Neural Networks via Training Node Attribution AAAI 2023 Interventional SHAP Values and Interaction Values for Piecewise Linear Regression Trees AAAI 2023 Investigating the Saliency of Sentiment Expressions in Aspect-Based Sentiment Analysis ACL 2023 Labeling Neural Representations with Inverse Recognition NeurIPS 2023 Latent Autoregressive Source Separation AAAI 2023 Learning Bottleneck Concepts in Image Classification CVPR 2023 Local Explanations for Reinforcement Learning AAAI 2023 Local Path Integration for Attribution AAAI 2023 Log-linear Guardedness and its Implications ACL 2023 Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder NeurIPS 2023 Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap AAAI 2023 Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks AAAI 2023 Neuro-Symbolic Sentiment Analysis with Dynamic Word Sense Disambiguation EMNLP 2023 On General Language Understanding EMNLP 2023 On the Interpretability and Significance of Bias Metrics in Texts: a PMI-based Approach ACL 2023 Overlooked Factors in Concept-Based Explanations: Dataset Choice, Concept Learnability, and Human Capability CVPR 2023 Probing Representations for Document-level Event Extraction EMNLP 2023 Rethinking Interpretation: Input-Agnostic Saliency Mapping of Deep Visual Classifiers AAAI 2023 Rethinking the Construction of Effective Metrics for Understanding the Mechanisms of Pretrained Language Models EMNLP 2023 REV: Information-Theoretic Evaluation of Free-Text Rationales ACL 2023 Robust Concept Erasure via Kernelized Rate-Distortion Maximization NeurIPS 2023 Sample based Explanations via Generalized Representers NeurIPS 2023 SEAT: Stable and Explainable Attention AAAI 2023 Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations CVPR 2023