Interpretability

DeepPINK: reproducible feature selection in deep neural networks NeurIPS 2018 deepQuest: A Framework for Neural-based Quality Estimation COLING 2018 Dendritic cortical microcircuits approximate the backpropagation algorithm NeurIPS 2018 Detecting Linguistic Characteristics of Alzheimer’s Dementia by Interpreting Neural Models NAACL 2018 Detecting Statistical Interactions from Neural Network Weights ICLR 2018 Diminishing Returns Shape Constraints for Interpretability and Regularization NeurIPS 2018 Discourse Coherence: Concurrent Explicit and Implicit Relations ACL 2018 Discovering Interpretable Representations for Both Deep Generative and Discriminative Models ICML 2018 Distributionally Robust Graphical Models NeurIPS 2018 Do explanations make VQA models more predictable to a human? EMNLP 2018 Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering CVPR 2018 Dynamic Feature Selection with Attention in Incremental Parsing COLING 2018 Dynamic Multi-Level Multi-Task Learning for Sentence Simplification COLING 2018 Efficient Formal Safety Analysis of Neural Networks NeurIPS 2018 Enhanced Word Representations for Bridging Anaphora Resolution NAACL 2018 e-SNLI: Natural Language Inference with Natural Language Explanations NeurIPS 2018 EvalD Reference-Less Discourse Evaluation for WMT18 EMNLP 2018 Evaluating neural network explanation methods using hybrid documents and morphosyntactic agreement ACL 2018 Excitation Backprop for RNNs CVPR 2018 Explainable Certain Answers IJCAI 2018 Explainable Prediction of Medical Codes from Clinical Text NAACL 2018 Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules? EMNLP 2018 Explaining Deep Learning Models -- A Bayesian Non-parametric Approach NeurIPS 2018 Explaining non-linear Classifier Decisions within Kernel-based Deep Architectures EMNLP 2018 Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives NeurIPS 2018