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Interpretability

7,452 papers

Papers per year

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Papers

Sketch Recognition via Part-based Hierarchical Analogical Learning IJCAI 2023
Leveraging Argumentation for Generating Robust Sample-based Explanations IJCAI 2023
On Translations between ML Models for XAI Purposes IJCAI 2023
The Parameterized Complexity of Finding Concise Local Explanations IJCAI 2023
A Comparative Study of Ranking Formulas Based on Consistency IJCAI 2023
On the Paradox of Learning to Reason from Data IJCAI 2023
Enhancing Datalog Reasoning with Hypertree Decompositions IJCAI 2023
Computing Abductive Explanations for Boosted Regression Trees IJCAI 2023
ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks IJCAI 2023
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