Interpretability

Neural Logic Machines ICLR 2019 Neural Logic Reinforcement Learning ICML 2019 Neural Models of the Psychosemantics of ‘Most’ NAACL 2019 Neural Named Entity Recognition from Subword Units Interspeech 2019 Neural Network Attributions: A Causal Perspective ICML 2019 Neural Taskonomy: Inferring the Similarity of Task-Derived Representations from Brain Activity NeurIPS 2019 Neural Vector Conceptualization for Word Vector Space Interpretation NAACL 2019 NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks AAAI 2019 On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models NAACL 2019 On Relating Explanations and Adversarial Examples NeurIPS 2019 On the Accuracy of Influence Functions for Measuring Group Effects NeurIPS 2019 On the Connection Between Adversarial Robustness and Saliency Map Interpretability ICML 2019 On the Importance of Delexicalization for Fact Verification EMNLP 2019 On the Importance of Distinguishing Word Meaning Representations: A Case Study on Reverse Dictionary Mapping NAACL 2019 On the (In)fidelity and Sensitivity of Explanations NeurIPS 2019 On the Use/Misuse of the Term ‘Phoneme’ Interspeech 2019 Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text EMNLP 2019 On Understanding the Relation between Expert Annotations of Text Readability and Target Reader Comprehension ACL 2019 Open Sesame: Getting inside BERT’s Linguistic Knowledge ACL 2019 Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae ACL 2019 Pathological Evidence Exploration in Deep Retinal Image Diagnosis AAAI 2019 Perturbation Sensitivity Analysis to Detect Unintended Model Biases EMNLP 2019 Physiology and Physics of Voice Production Interspeech 2019 PointCloud Saliency Maps ICCV 2019 Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering ICML 2019