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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
Axiomatization of Aggregates in Answer Set Programming
AAAI 2022
Sufficient Reasons for Classifier Decisions in the Presence of Domain Constraints
AAAI 2022
MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks
AAAI 2022
Towards Explainable Action Recognition by Salient Qualitative Spatial Object Relation Chains
AAAI 2022
Towards Fine-Grained Reasoning for Fake News Detection
AAAI 2022
Entropy-Based Logic Explanations of Neural Networks
AAAI 2022
NoiseGrad — Enhancing Explanations by Introducing Stochasticity to Model Weights
AAAI 2022
Algorithmic Concept-Based Explainable Reasoning
AAAI 2022
Towards Automating Model Explanations with Certified Robustness Guarantees
AAAI 2022
Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning
AAAI 2022
Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates
AAAI 2022
When AI Difficulty Is Easy: The Explanatory Power of Predicting IRT Difficulty
AAAI 2022
Covered Information Disentanglement: Model Transparency via Unbiased Permutation Importance
AAAI 2022
DeepType 2: Superhuman Entity Linking, All You Need Is Type Interactions
AAAI 2022
On Causally Disentangled Representations
AAAI 2022
Reverse Differentiation via Predictive Coding
AAAI 2022
Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks
AAAI 2022
Constraint-Driven Explanations for Black-Box ML Models
AAAI 2022
Explainable and Local Correction of Classification Models Using Decision Trees
AAAI 2022
Amortized Generation of Sequential Algorithmic Recourses for Black-Box Models
AAAI 2022
LOGICDEF: An Interpretable Defense Framework against Adversarial Examples via Inductive Scene Graph Reasoning
AAAI 2022
Interpretable Domain Adaptation for Hidden Subdomain Alignment in the Context of Pre-trained Source Models
AAAI 2022
Rethinking Influence Functions of Neural Networks in the Over-Parameterized Regime
AAAI 2022
ProtGNN: Towards Self-Explaining Graph Neural Networks
AAAI 2022
Algorithmic Fairness Verification with Graphical Models
AAAI 2022
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