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Interpretability

7,452 papers

Papers per year

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14
488
1716
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Papers

Using Platform Models for a Guided Explanatory Diagnosis Generation for Mobile Robots IJCAI 2021
On Explaining Random Forests with SAT IJCAI 2021
Towards Scalable Complete Verification of Relu Neural Networks via Dependency-based Branching IJCAI 2021
On Guaranteed Optimal Robust Explanations for NLP Models IJCAI 2021
Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs IJCAI 2021
What Changed? Interpretable Model Comparison IJCAI 2021
Interpretable Compositional Convolutional Neural Networks IJCAI 2021
Compositional Neural Logic Programming IJCAI 2021
Probabilistic Sufficient Explanations IJCAI 2021
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation IJCAI 2021
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare IJCAI 2021
A Rule Mining-based Advanced Persistent Threats Detection System IJCAI 2021
Counterfactual Explanations for Optimization-Based Decisions in the Context of the GDPR IJCAI 2021
Argumentative XAI: A Survey IJCAI 2021
Explanation in Constraint Satisfaction: A Survey IJCAI 2021
Reasoning-Based Learning of Interpretable ML Models IJCAI 2021
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques IJCAI 2021
Analogical Proportions: Why They Are Useful in AI IJCAI 2021
A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI Interaction IJCAI 2021
Mental Models of AI Agents in a Cooperative Game Setting (Extended Abstract) IJCAI 2021
Towards an Explainer-agnostic Conversational XAI IJCAI 2021
Data Efficient Algorithms and Interpretability Requirements for Personalized Assessment of Taskable AI Systems IJCAI 2021
Towards Fair and Transparent Algorithmic Systems IJCAI 2021
Unified Dual-view Cognitive Model for Interpretable Claim Verification IJCNLP 2021
A Training-free and Reference-free Summarization Evaluation Metric via Centrality-weighted Relevance and Self-referenced Redundancy IJCNLP 2021