model interpretation

Towards Faithfully Interpretable NLP Systems: How Should We Define and Evaluate Faithfulness? ACL 2020 Towards Interpretation of Pairwise Learning AAAI 2020 Towards Interpreting BERT for Reading Comprehension Based QA EMNLP 2020 Towards Interpreting Deep Learning Models to Understand Loss of Speech Intelligibility in Speech Disorders — Step 1: CNN Model-Based Phone Classification Interspeech 2020 AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models EMNLP 2019 A Multiscale Visualization of Attention in the Transformer Model ACL 2019 CXPlain: Causal Explanations for Model Interpretation under Uncertainty NeurIPS 2019 Demystifying Black-box Models with Symbolic Metamodels NeurIPS 2019 Detecting and Reducing Bias in a High Stakes Domain EMNLP 2019 L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data ICLR 2019 MonoForest framework for tree ensemble analysis NeurIPS 2019 NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks AAAI 2019 On the Accuracy of Influence Functions for Measuring Group Effects NeurIPS 2019 Universal Adversarial Triggers for Attacking and Analyzing NLP EMNLP 2019 Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference EMNLP 2018 Learning to Explain: An Information-Theoretic Perspective on Model Interpretation ICML 2018 Pathologies of Neural Models Make Interpretations Difficult EMNLP 2018 Rule induction for global explanation of trained models EMNLP 2018 Understanding Black-box Predictions via Influence Functions ICML 2017 The LRP Toolbox for Artificial Neural Networks JMLR 2016 BubbLeNet: Foveated Imaging for Visual Discovery ICCV 2015 How to Explain Individual Classification Decisions JMLR 2010