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Interpretability

7318 directly classified papers

Papers per year

Papers

Learning to Explain Ambiguous Headlines of Online News IJCAI 2018
Ontology-Based Data Access: A Survey IJCAI 2018
Orchestrating a Network of Mereotopological Theories: An Abridged Report IJCAI 2018
An Annotated Corpus for Machine Reading of Instructions in Wet Lab Protocols NAACL 2018
Integrating Predictions from Neural-Network Relation Classifiers into Coreference and Bridging Resolution NAACL 2018
To Trust Or Not To Trust A Classifier NIPS 2018
e-SNLI: Natural Language Inference with Natural Language Explanations NIPS 2018
Explaining Deep Learning Models -- A Bayesian Non-parametric Approach NIPS 2018
Dendritic cortical microcircuits approximate the backpropagation algorithm NIPS 2018
Fast and Effective Robustness Certification NIPS 2018
Diminishing Returns Shape Constraints for Interpretability and Regularization NIPS 2018
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives NIPS 2018
A Unified View of Piecewise Linear Neural Network Verification NIPS 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks NIPS 2018
Generalisation of structural knowledge in the hippocampal-entorhinal system NIPS 2018
Improving Simple Models with Confidence Profiles NIPS 2018
Representer Point Selection for Explaining Deep Neural Networks NIPS 2018
Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability NIPS 2018
Towards Robust Interpretability with Self-Explaining Neural Networks NIPS 2018
Portable, layer-wise task performance monitoring for NLP models EMNLP 2018
Analyzing Uncertainty in Neural Machine Translation ICML 2018
Unsupervised Token-wise Alignment to Improve Interpretation of Encoder-Decoder Models EMNLP 2018
Understanding Convolutional Neural Networks for Text Classification EMNLP 2018
An Interactive Web-Interface for Visualizing the Inner Workings of the Question Answering LSTM EMNLP 2018
Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference EMNLP 2018