explainable ai

What You See is What You Classify: Black Box Attributions NeurIPS 2022 When AI Difficulty Is Easy: The Explanatory Power of Predicting IRT Difficulty AAAI 2022 Why Bad Coffee? Explaining BDI Agent Behaviour with Valuings (Extended Abstract) IJCAI 2022 XAI Beyond Classification: Interpretable Neural Clustering JMLR 2022 X-MIR: EXplainable Medical Image Retrieval WACV 2022 Aligning Artificial Neural Networks and Ontologies towards Explainable AI AAAI 2021 A Peek Into the Reasoning of Neural Networks: Interpreting With Structural Visual Concepts CVPR 2021 A Scalable Two Stage Approach to Computing Optimal Decision Sets AAAI 2021 A Study of Automatic Metrics for the Evaluation of Natural Language Explanations EACL 2021 Attention Flows are Shapley Value Explanations ACL 2021 BayLIME: Bayesian local interpretable model-agnostic explanations UAI 2021 Counterfactual Explanations for Optimization-Based Decisions in the Context of the GDPR IJCAI 2021 Does Explainable Artificial Intelligence Improve Human Decision-Making? AAAI 2021 Efficient Explanations from Empirical Explainers EMNLP 2021 ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning ACL 2021 Explainable Image Quality Analysis of Chest X-Rays MIDL 2021 Explainable Natural Language to Bash Translation using Abstract Syntax Tree CoNLL 2021 Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation AAAI 2021 Explaining Self-Supervised Image Representations with Visual Probing IJCAI 2021 Explaining Time Series Predictions with Dynamic Masks ICML 2021 Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks AAAI 2021 GHOST at SemEval-2021 Task 5: Is explanation all you need? SemEval 2021 Guided Integrated Gradients: An Adaptive Path Method for Removing Noise CVPR 2021 If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques IJCAI 2021 Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders AAAI 2021