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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
Neuro-Symbolic Learning of Answer Set Programs from Raw Data
IJCAI 2023
Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions
IJCAI 2023
DeepPSL: End-to-End Perception and Reasoning
IJCAI 2023
A Logic-based Approach to Contrastive Explainability for Neurosymbolic Visual Question Answering
IJCAI 2023
Cardinality-Minimal Explanations for Monotonic Neural Networks
IJCAI 2023
NeuPSL: Neural Probabilistic Soft Logic
IJCAI 2023
Calibrating a Deep Neural Network with Its Predecessors
IJCAI 2023
Explainable Reinforcement Learning via a Causal World Model
IJCAI 2023
Learning to Binarize Continuous Features for Neuro-Rule Networks
IJCAI 2023
Specifying and Testing k-Safety Properties for Machine-Learning Models
IJCAI 2023
Unveiling Concepts Learned by a World-Class Chess-Playing Agent
IJCAI 2023
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation
IJCAI 2023
Explainable Text Classification via Attentive and Targeted Mixing Data Augmentation
IJCAI 2023
Formal Explanations of Neural Network Policies for Planning
IJCAI 2023
Optimal Decision Tree Policies for Markov Decision Processes
IJCAI 2023
Decoding the Underlying Meaning of Multimodal Hateful Memes
IJCAI 2023
Interpret ESG Rating’s Impact on the Industrial Chain Using Graph Neural Networks
IJCAI 2023
Evaluating GPT-3 Generated Explanations for Hateful Content Moderation
IJCAI 2023
Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing
IJCAI 2023
Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding (Extended Abstract)
IJCAI 2023
Even If Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI
IJCAI 2023
Good Explanations in Explainable Artificial Intelligence (XAI): Evidence from Human Explanatory Reasoning
IJCAI 2023
Benchmarking eXplainable AI - A Survey on Available Toolkits and Open Challenges
IJCAI 2023
Interpretable Local Concept-based Explanation with Human Feedback to Predict All-cause Mortality (Extended Abstract)
IJCAI 2023
On Tackling Explanation Redundancy in Decision Trees (Extended Abstract)
IJCAI 2023
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