Classification

On discriminative learning of prediction uncertainty ICML 2019 One-Class Adversarial Nets for Fraud Detection AAAI 2019 One for All: Neural Joint Modeling of Entities and Events AAAI 2019 One-vs-All Models for Asynchronous Training: An Empirical Analysis Interspeech 2019 Online Learning from Data Streams with Varying Feature Spaces AAAI 2019 Online Multiclass Boosting with Bandit Feedback AISTATS 2019 On Making Stochastic Classifiers Deterministic NeurIPS 2019 On the Calibration of Multiclass Classification with Rejection NeurIPS 2019 On the Effectiveness of the Pooling Methods for Biomedical Relation Extraction with Deep Learning EMNLP 2019 On the Interaction Effects Between Prediction and Clustering AISTATS 2019 On the Role of Syntactic Graph Convolutions for Identifying and Classifying Argument Components AAAI 2019 Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text EMNLP 2019 OpenKiwi: An Open Source Framework for Quality Estimation ACL 2019 Open Problem: How fast can a multiclass test set be overfit? COLT 2019 Open Problem: Risk of Ruin in Multiarmed Bandits COLT 2019 Open Vocabulary Learning for Neural Chinese Pinyin IME ACL 2019 Optimal Decision Tree with Noisy Outcomes NeurIPS 2019 Optimality Implies Kernel Sum Classifiers are Statistically Efficient ICML 2019 Optimal Minimal Margin Maximization with Boosting ICML 2019 Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter ACML 2019 Optimal Sparse Decision Trees NeurIPS 2019 Optimizing Generalized Rate Metrics with Three Players NeurIPS 2019 Optimizing Speech-Input Length for Speaker-Independent Depression Classification Interspeech 2019 Optimizing Voice Activity Detection for Noisy Conditions Interspeech 2019 ORCA: A Matlab/Octave Toolbox for Ordinal Regression JMLR 2019