interpretable model

Learning Interpretable Relational Structures of Hinge-loss Markov Random Fields IJCAI 2019 Learning Rules-First Classifiers AISTATS 2019 Lightly-supervised Representation Learning with Global Interpretability NAACL 2019 On Learning Interpretable CNNs with Parametric Modulated Kernel-Based Filters Interspeech 2019 Saccader: Improving Accuracy of Hard Attention Models for Vision NeurIPS 2019 Solving Interpretable Kernel Dimensionality Reduction NeurIPS 2019 A Provable Algorithm for Learning Interpretable Scoring Systems AISTATS 2018 Boolean Decision Rules via Column Generation NeurIPS 2018 Improving Moderation of Online Discussions via Interpretable Neural Models EMNLP 2018 Improving Simple Models with Confidence Profiles NeurIPS 2018 Learning Certifiably Optimal Rule Lists for Categorical Data JMLR 2018 Learning Conditioned Graph Structures for Interpretable Visual Question Answering NeurIPS 2018 Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph ACL 2018 Tensor Product Generation Networks for Deep NLP Modeling NAACL 2018 An Interpretable Knowledge Transfer Model for Knowledge Base Completion ACL 2017 Cross-Spectral Factor Analysis NeurIPS 2017 Induction of Interpretable Possibilistic Logic Theories from Relational Data IJCAI 2017 Interpretable Objective Assessment of Dysarthric Speech Based on Deep Neural Networks Interspeech 2017 Learning Cost-Effective and Interpretable Treatment Regimes AISTATS 2017 Scalable Bayesian Rule Lists ICML 2017 Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation EACL 2017 Convex Regression with Interpretable Sharp Partitions JMLR 2016 Interpretable Distribution Features with Maximum Testing Power NeurIPS 2016 RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism NeurIPS 2016 Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction NeurIPS 2015