Interpretability

Gradient-based Analysis of NLP Models is Manipulable EMNLP 2020 Guided Variational Autoencoder for Disentanglement Learning CVPR 2020 How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions NeurIPS 2020 Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words? ACL 2020 Incremental Sense Weight Training for In-Depth Interpretation of Contextualized Word Embeddings (Student Abstract) AAAI 2020 Inducing Grammar from Long Short-Term Memory Networks by Shapley Decomposition ACL 2020 Information-Theoretic Probing with Minimum Description Length EMNLP 2020 Inserting Information Bottlenecks for Attribution in Transformers EMNLP 2020 Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition ACL 2020 Interpretability and Analysis in Neural NLP ACL 2020 Interpretable and Differentially Private Predictions AAAI 2020 Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations NeurIPS 2020 Interpreting Neural CWI Classifiers’ Weights as Vocabulary Size ACL 2020 Interpreting Twitter User Geolocation ACL 2020 Intrinsic Probing through Dimension Selection EMNLP 2020 Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language? EMNLP 2020 Learning outside the Black-Box: The pursuit of interpretable models NeurIPS 2020 LS-Tree: Model Interpretation When the Data Are Linguistic AAAI 2020 Maintaining Quality in FEVER Annotation ACL 2020 ML-LOO: Detecting Adversarial Examples with Feature Attribution AAAI 2020 Model Interpretability through the lens of Computational Complexity NeurIPS 2020 MRI Reconstruction with Interpretable Pixel-Wise Operations Using Reinforcement Learning AAAI 2020 Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation EMNLP 2020 Neuron Shapley: Discovering the Responsible Neurons NeurIPS 2020 Obtaining Faithful Interpretations from Compositional Neural Networks ACL 2020