model explanation

Regional Tree Regularization for Interpretability in Deep Neural Networks AAAI 2020 Relation Extraction with Explanation ACL 2020 Staying True to Your Word: (How) Can Attention Become Explanation? ACL 2020 The Many Shapley Values for Model Explanation ICML 2020 Visualizing Deep Networks by Optimizing with Integrated Gradients AAAI 2020 Abduction-Based Explanations for Machine Learning Models AAAI 2019 Attention is not Explanation NAACL 2019 Attention is not not Explanation EMNLP 2019 Fairwashing: the risk of rationalization ICML 2019 FLEX: Faithful Linguistic Explanations for Neural Net Based Model Decisions AAAI 2019 GNNExplainer: Generating Explanations for Graph Neural Networks NeurIPS 2019 Hierarchical interpretations for neural network predictions ICLR 2019 Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification EMNLP 2019 On Relating Explanations and Adversarial Examples NeurIPS 2019 QADiver: Interactive Framework for Diagnosing QA Models AAAI 2019 The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations IJCAI 2019 What made you do this? Understanding black-box decisions with sufficient input subsets AISTATS 2019 Explaining Deep Learning Models -- A Bayesian Non-parametric Approach NeurIPS 2018 Interpret Neural Networks by Identifying Critical Data Routing Paths CVPR 2018 Sanity Checks for Saliency Maps NeurIPS 2018 A causal framework for explaining the predictions of black-box sequence-to-sequence models EMNLP 2017 The Role of Textualisation and Argumentation in Understanding the Machine Learning Process IJCAI 2017 A Progressive Explanation of Inference in ‘Hybrid’ Bayesian Networks for Supporting Clinical Decision Making PGM 2016 An Efficient Explanation of Individual Classifications using Game Theory JMLR 2010