supervised learning

Train-O-Matic: Large-Scale Supervised Word Sense Disambiguation in Multiple Languages without Manual Training Data EMNLP 2017 Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison EACL 2017 A Minimax Approach to Supervised Learning NeurIPS 2016 A Supervised Approach for Enriching the Relational Structure of Frame Semantics in FrameNet COLING 2016 Automatic Neuron Detection in Calcium Imaging Data Using Convolutional Networks NeurIPS 2016 Barron and Cover’s Theory in Supervised Learning and its Application to Lasso ICML 2016 Deep Learning Games NeurIPS 2016 Differential Geometric Regularization for Supervised Learning of Classifiers ICML 2016 Equality of Opportunity in Supervised Learning NeurIPS 2016 Evaluating anaphora and coreference resolution to improve automatic keyphrase extraction COLING 2016 Greedy Feature Construction NeurIPS 2016 Higher-Order Factorization Machines NeurIPS 2016 “How Bullying is this Message?”: A Psychometric Thermometer for Bullying COLING 2016 Learning Kernels with Random Features NeurIPS 2016 Linear Feature Encoding for Reinforcement Learning NeurIPS 2016 On Regularizing Rademacher Observation Losses NeurIPS 2016 Optimizing affinity-based binary hashing using auxiliary coordinates NeurIPS 2016 Predicting the Evocation Relation between Lexicalized Concepts COLING 2016 Quality Estimation for Language Output Applications COLING 2016 Says Who…? Identification of Expert versus Layman Critics’ Reviews of Documentary Films COLING 2016 Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches JMLR 2016 Supervised learning through the lens of compression NeurIPS 2016 Supervised Learning with Tensor Networks NeurIPS 2016 Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning NeurIPS 2016 Classifier Learning With Hidden Information CVPR 2015