feature importance

A Debiased MDI Feature Importance Measure for Random Forests NeurIPS 2019 Attention is not Explanation NAACL 2019 CXPlain: Causal Explanations for Model Interpretation under Uncertainty NeurIPS 2019 Explainable Deep Neural Networks for Multivariate Time Series Predictions IJCAI 2019 Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Value Approximation ICML 2019 Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks AAAI 2019 Interpretation of Neural Networks Is Fragile AAAI 2019 Knockoffs for the Mass: New Feature Importance Statistics with False Discovery Guarantees AISTATS 2019 L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data ICLR 2019 Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification EMNLP 2019 Towards Automatic Concept-based Explanations NeurIPS 2019 Understanding Learned Models by Identifying Important Features at the Right Resolution AAAI 2019 A Symbolic Approach to Explaining Bayesian Network Classifiers IJCAI 2018 DALEX: Explainers for Complex Predictive Models in R JMLR 2018 How much should you ask? On the question structure in QA systems. EMNLP 2018 Human-in-the-Loop Interpretability Prior NeurIPS 2018 Interpreting Neural Networks with Nearest Neighbors EMNLP 2018 NISP: Pruning Networks Using Neuron Importance Score Propagation CVPR 2018 Rule induction for global explanation of trained models EMNLP 2018 Sanity Checks for Saliency Maps NeurIPS 2018 Variable Importance Using Decision Trees NeurIPS 2017 Wavelet decompositions of Random Forests - smoothness analysis, sparse approximation and applications JMLR 2016 How to Explain Individual Classification Decisions JMLR 2010 Understanding the Value of Features for Coreference Resolution EMNLP 2008