feature attribution

Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods AAAI 2019 L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data ICLR 2019 Neural Network Attributions: A Causal Perspective ICML 2019 On the (In)fidelity and Sensitivity of Explanations NeurIPS 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 A Symbolic Approach to Explaining Bayesian Network Classifiers IJCAI 2018 Contextual Outlier Interpretation IJCAI 2018 Evaluating neural network explanation methods using hybrid documents and morphosyntactic agreement ACL 2018 Learning Explanations from Language Data EMNLP 2018 LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation EMNLP 2018 Sanity Checks for Saliency Maps NeurIPS 2018 Towards Robust Interpretability with Self-Explaining Neural Networks NeurIPS 2018 Visual Feature Attribution Using Wasserstein GANs CVPR 2018 Axiomatic Attribution for Deep Networks ICML 2017 Learning Important Features Through Propagating Activation Differences ICML 2017 The LRP Toolbox for Artificial Neural Networks JMLR 2016