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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
Enhancing Multi-View Classification Reliability with Adaptive Rejection
AAAI 2025
Measuring Chain of Thought Faithfulness by Unlearning Reasoning Steps
EMNLP 2025
EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction
AAAI 2025
SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks
AAAI 2025
MathMistake Checker: A Comprehensive Demonstration for Step-by-Step Math Problem Mistake Finding by Prompt-Guided LLMs
AAAI 2025
A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations
AAAI 2025
Specifying What You Know or Not for Multi-Label Class-Incremental Learning
AAAI 2025
Pioneering Explainable Video Fact-Checking with a New Dataset and Multi-role Multimodal Model Approach
AAAI 2025
Active Fourier Auditor for Estimating Distributional Properties of ML Models
AAAI 2025
Generating Counterfactual Explanations Under Temporal Constraints
AAAI 2025
Making Transparency Advocates: An Educational Approach Towards Better Algorithmic Transparency in Practice
AAAI 2025
ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language
AAAI 2025
Probabilistic Explanations for Linear Models
AAAI 2025
Measuring Error Alignment for Decision-Making Systems
AAAI 2025
How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic Data
AAAI 2025
PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification
AAAI 2025
Uncertainty-aware Knowledge Tracing
AAAI 2025
An XAI Social Media Platform for Teaching K-12 Students AI-Driven Profiling, Clustering, and Engagement-Based Recommending
AAAI 2025
SMoSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks
AAAI 2025
Higher Order Structures for Graph Explanations
AAAI 2025
Counterfactual Explanations of Time Varying Rankings (Student Abstract)
AAAI 2025
BEE: Metric-Adapted Explanations via Baseline Exploration-Exploitation
AAAI 2025
Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning
AAAI 2025
VEGAS: Towards Visually Explainable and Grounded Artificial Social Intelligence
AAAI 2025
Automated, Interpretable, and Scalable Scientific Machine Learning
AAAI 2025
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