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← Core AI
Artificial Intelligence
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Core AI
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Interpretability
7,318 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
Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems
AAAI 2022
Expert-Informed, User-Centric Explanations for Machine Learning
AAAI 2022
Model-Based Diagnosis of Multi-Agent Systems: A Survey
AAAI 2022
Delivering Trustworthy AI through Formal XAI
AAAI 2022
An Interactive Explanatory AI System for Industrial Quality Control
AAAI 2022
AI Explainability 360: Impact and Design
AAAI 2022
Predictive Student Modelling in an Online Reading Platform
AAAI 2022
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations
AAAI 2022
Interpretable Privacy Preservation of Text Representations Using Vector Steganography
AAAI 2022
Creating Interpretable Data-Driven Approaches for Tropical Cyclones Forecasting
AAAI 2022
Manipulating SHAP via Adversarial Data Perturbations (Student Abstract)
AAAI 2022
Identifying ATT&CK Tactics in Android Malware Control Flow Graph through Graph Representation Learning and Interpretability (Student Abstract)
AAAI 2022
Reinforcement Learning Explainability via Model Transforms (Student Abstract)
AAAI 2022
Tracking Down Misguiding Terms for Locating Bugs in Deep Learning-Based Software (Student Abstract)
AAAI 2022
Actionable Model-Centric Explanations (Student Abstract)
AAAI 2022
Prototype-Based Explanations for Graph Neural Networks (Student Abstract)
AAAI 2022
Solving Visual Analogies Using Neural Algorithmic Reasoning (Student Abstract)
AAAI 2022
A Multi-Factor Classification Framework for Completing Users’ Fuzzy Queries (Student Abstract)
AAAI 2022
InteractEva: A Simulation-Based Evaluation Framework for Interactive AI Systems
AAAI 2022
A Synthetic Prediction Market for Estimating Confidence in Published Work
AAAI 2022
RES: An Interpretable Replicability Estimation System for Research Publications
AAAI 2022
Double Trouble: How to not Explain a Text Classifier’s Decisions Using Counterfactuals Synthesized by Masked Language Models?
AACL 2022
Grammatical Error Correction Systems for Automated Assessment: Are They Susceptible to Universal Adversarial Attacks?
AACL 2022
Director: Generator-Classifiers For Supervised Language Modeling
AACL 2022
Dynamic Context Extraction for Citation Classification
AACL 2022
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