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Interpretability

7,318 papers

Papers per year

Papers

A General Theoretical Framework for Learning Smallest Interpretable Models AAAI 2024
Understanding and Improving Optimization in Predictive Coding Networks AAAI 2024
Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals AAAI 2024
Axiomatic Aggregations of Abductive Explanations AAAI 2024
Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision AAAI 2024
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction AAAI 2024
Self-Interpretable Graph Learning with Sufficient and Necessary Explanations AAAI 2024
DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection AAAI 2024
Symbolic Regression Enhanced Decision Trees for Classification Tasks AAAI 2024
Factorized Explainer for Graph Neural Networks AAAI 2024
Delivering Inflated Explanations AAAI 2024
Stratified GNN Explanations through Sufficient Expansion AAAI 2024
Shaping Up SHAP: Enhancing Stability through Layer-Wise Neighbor Selection AAAI 2024
Pantypes: Diverse Representatives for Self-Explainable Models AAAI 2024
Approximating the Shapley Value without Marginal Contributions AAAI 2024
Detection-Based Intermediate Supervision for Visual Question Answering AAAI 2024
CGS-Mask: Making Time Series Predictions Intuitive for All AAAI 2024
Permutation-Based Hypothesis Testing for Neural Networks AAAI 2024
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles AAAI 2024
CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems AAAI 2024
Learning Performance Maximizing Ensembles with Explainability Guarantees AAAI 2024
Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction AAAI 2024
GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations AAAI 2024
Using Stratified Sampling to Improve LIME Image Explanations AAAI 2024
Towards Learning and Explaining Indirect Causal Effects in Neural Networks AAAI 2024