explainable ai

Explainability in Autonomous Pedagogical Agents AAAI 2020 Explainable Agency in Reinforcement Learning Agents AAAI 2020 Explainable Automated Fact-Checking for Public Health Claims EMNLP 2020 Explainable Object-Induced Action Decision for Autonomous Vehicles CVPR 2020 Explainable Voting NeurIPS 2020 Explaining Groups of Points in Low-Dimensional Representations ICML 2020 Explanation Perspectives from the Cognitive Sciences---A Survey IJCAI 2020 Feature Importance Ranking for Deep Learning NeurIPS 2020 Feature relevance quantification in explainable AI: A causal problem AISTATS 2020 Generating Natural Counterfactual Visual Explanations IJCAI 2020 Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification COLING 2020 Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective IJCAI 2020 HENIN: Learning Heterogeneous Neural Interaction Networks for Explainable Cyberbullying Detection on Social Media EMNLP 2020 PyDL8.5: a Library for Learning Optimal Decision Trees IJCAI 2020 Relation-Based Counterfactual Explanations for Bayesian Network Classifiers IJCAI 2020 Understanding Alzheimer disease’s structural connectivity through explainable AI MIDL 2020 XplaiNLI: Explainable Natural Language Inference through Visual Analytics COLING 2020 Deliberative Explanations: visualizing network insecurities NeurIPS 2019 Desiderata for Interpretability: Explaining Decision Tree Predictions with Counterfactuals AAAI 2019 Do Human Rationales Improve Machine Explanations? ACL 2019 Explainable and Explicit Visual Reasoning Over Scene Graphs CVPR 2019 Explainable, Normative, and Justified Agency AAAI 2019 Explaining Neural Networks Semantically and Quantitatively ICCV 2019 Exploring Knowledge Graphs in an Interpretable Composite Approach for Text Entailment AAAI 2019 Fair and Explainable Dynamic Engagement of Crowd Workers IJCAI 2019