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