Artificial Intelligence › Core AI ›

Interpretability

7318 directly classified papers

Papers per year

Papers

ShapBPT: Image Feature Attributions Using Data-Aware Binary Partition Trees AAAI 2026

Learning to Rank: How GNNs Solve Max-Clique and Sparse PCA AAAI 2026

On the Impact of Weight Quantization on Deep Neural Network Uncertainty AAAI 2026

Tighter Truncated Rectangular Prism Approximation for RNN Robustness Verification AAAI 2026

Exact Shapley Attributions in Quadratic-time for FANOVA Gaussian Processes AAAI 2026

From Decision Trees to Boolean Logic: A Fast and Unified SHAP Algorithm AAAI 2026

A Theoretical Analysis of Detecting Large Model-Generated Time Series AAAI 2026

Graph Out-of-Distribution Detection via Test-Time Calibration with Dual Dynamic Dictionaries AAAI 2026

Self-Interpretable Subgraph Neural Network with Deep Reinforcement Walk Exploration AAAI 2026

Feature Attribution for Human Sensing with Radio Signals AAAI 2026

GLANCE: Global Actions in a Nutshell for Counterfactual Explainability AAAI 2026

On Logical Extrapolation for Mazes with Recurrent and Implicit Networks AAAI 2026

Benchmarking Reinforcement Learning Algorithms for ICU Ventilator Settings: An Interpretable and Probabilistic Patient Environment for Doctor Agents AAAI 2026

Generating In-Distribution Counterfactual Explanation for Graph Neural Networks AAAI 2026

Statistically Robust Sparse High-order Interaction Model AAAI 2026

CIP-Net: Continual Interpretable Prototype-based Network AAAI 2026

Conditional Probabilistic Bipolar Argumentation Framework: Explanations, Complexity and Approximation AAAI 2026

Learning from Answer Sets via Single-Shot Disjunctive ASP Encoding AAAI 2026

Computing Syntax Tree-based Minimal Unsatisfiable Cores of LTLf Formulas AAAI 2026

Heterogeneous Graph Neural Networks for Assumption-Based Argumentation AAAI 2026

Can You Tell the Difference? Contrastive Explanations for ABox Entailments AAAI 2026

Measuring the Unmeasurable: Unveiling Latent Cognitive Capabilities of LLM AAAI 2026

Guess or Recall? Training CNNs to Classify and Localize Memorization in LLMs AAAI 2026

Delphi: A Neuro-Symbolic Framework for Individualized, Safe and Interpretable Treatment Recommendation AAAI 2026

Knowledge-Enhanced Explainable Hypergraph Convolution Network for Medication Recommendation AAAI 2026