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Interpretability
7318 directly classified papers
Papers per year
2003: 1
2006: 1
2007: 1
2008: 1
2009: 1
2010: 5
2012: 2
2013: 10
2014: 7
2015: 14
2016: 27
2017: 84
2018: 196
2019: 395
2020: 488
2021: 771
2022: 823
2023: 954
2024: 1360
2025: 1713
2026: 464
Papers
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
EPIC: Explanation of Pretrained Image Classification Networks via Prototypes
AAAI 2026
Do Large Language Models Reason About Uncertainty Like Humans? A Benchmark on Hurricane Forecast Visualization Comprehension
AAAI 2026
Human Cognitive Biases in Explanation-based Interaction: The Case of Within and Between Session Order Effect
AAAI 2026
PINet: Improving the Stability of Prototype Networks via Phantasia-Inspired Uncertain Representations
AAAI 2026
HISE-KT: Synergizing Heterogeneous Information Networks and LLMs for Explainable Knowledge Tracing with Meta-Path Optimization
AAAI 2026
Flexible Concept Bottleneck Model
AAAI 2026
AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization
AAAI 2026
Continual Out-of-Distribution Detection with Analytic Neural Collapse
AAAI 2026
Partially Shared Concept Bottleneck Models
AAAI 2026
Mitigating Entity Hallucinations in 3D Radiology Report Generation via Dual-Stream Alignment
AAAI 2026
Forget What Has Seen: Selective Concept Unlearning in Segmentation Foundation Models
AAAI 2026
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