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Artificial Intelligence
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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
Analogical Proportions: Why They Are Useful in AI
IJCAI 2021
Towards an Explainer-agnostic Conversational XAI
IJCAI 2021
Towards Fair and Transparent Algorithmic Systems
IJCAI 2021
Graph-to-Graph: Towards Accurate and Interpretable Online Handwritten Mathematical Expression Recognition
AAAI 2021
A Novel Visual Interpretability for Deep Neural Networks by Optimizing Activation Maps with Perturbation
AAAI 2021
Learning Accurate and Interpretable Decision Rule Sets from Neural Networks
AAAI 2021
Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field
AAAI 2021
Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks
AAAI 2021
Interpretable Actions: Controlling Experts with Understandable Commands
AAAI 2021
Patterns of Polysemy and Homonymy in Contextualised Language Models
EMNLP 2021
Word Competition: An Entropy-Based Approach in the DIANA Model of Human Word Comprehension
INTERSPEECH 2021
To what extent do human explanations of model behavior align with actual model behavior?
EMNLP 2021
Test Harder than You Train: Probing with Extrapolation Splits
EMNLP 2021
On Smoother Attributions using Neural Stochastic Differential Equations
IJCAI 2021
Choice Logics and Their Computational Properties
IJCAI 2021
On Explaining Random Forests with SAT
IJCAI 2021
Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs
IJCAI 2021
Interpretable Compositional Convolutional Neural Networks
IJCAI 2021
Compositional Neural Logic Programming
IJCAI 2021
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation
IJCAI 2021
Explanation in Constraint Satisfaction: A Survey
IJCAI 2021
Data Efficient Algorithms and Interpretability Requirements for Personalized Assessment of Taskable AI Systems
IJCAI 2021
Does Explainable Artificial Intelligence Improve Human Decision-Making?
AAAI 2021
Learning by Fixing: Solving Math Word Problems with Weak Supervision
AAAI 2021
Differentiable Inductive Logic Programming for Structured Examples
AAAI 2021
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