Interpretability

Symbolic Graph Reasoning Meets Convolutions NeurIPS 2018 Syntactical Analysis of the Weaknesses of Sentiment Analyzers EMNLP 2018 TALEN: Tool for Annotation of Low-resource ENtities ACL 2018 Teaching Categories to Human Learners With Visual Explanations CVPR 2018 Teaching Syntax by Adversarial Distraction EMNLP 2018 Textual Deconvolution Saliency (TDS) : a deep tool box for linguistic analysis ACL 2018 The Cluster Description Problem - Complexity Results, Formulations and Approximations NeurIPS 2018 The Emergence of Semantics in Neural Network Representations of Visual Information NAACL 2018 The Linguistic Ideologies of Deep Abusive Language Classification EMNLP 2018 The price of debiasing automatic metrics in natural language evalaution ACL 2018 The Role of Syntax During Pronoun Resolution: Evidence from fMRI ACL 2018 To Trust Or Not To Trust A Classifier NeurIPS 2018 Towards Fast Computation of Certified Robustness for ReLU Networks ICML 2018 Towards Reverse-Engineering Black-Box Neural Networks ICLR 2018 Towards Robust Interpretability with Self-Explaining Neural Networks NeurIPS 2018 Transition-based Neural RST Parsing with Implicit Syntax Features COLING 2018 Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning CVPR 2018 Two Sides of the Same Coin: Belief Revision and Enforcing Arguments IJCAI 2018 Uncertainty-Aware Attention for Reliable Interpretation and Prediction NeurIPS 2018 Understanding Convolutional Neural Networks for Text Classification EMNLP 2018 Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information EMNLP 2018 Unsupervised Token-wise Alignment to Improve Interpretation of Encoder-Decoder Models EMNLP 2018 Verifiable Reinforcement Learning via Policy Extraction NeurIPS 2018 Visual Feature Attribution Using Wasserstein GANs CVPR 2018 Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension EMNLP 2018