multi-label classification

Doctor AI: Predicting Clinical Events via Recurrent Neural Networks MLHC 2016 Exploit Bounding Box Annotations for Multi-Label Object Recognition CVPR 2016 Extreme F-measure Maximization using Sparse Probability Estimates ICML 2016 From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification ICML 2016 Learning Distance Metrics for Multi-Label Classification ACML 2016 Learning Structured Inference Neural Networks With Label Relations CVPR 2016 Logistic Boosting Regression for Label Distribution Learning CVPR 2016 MEKA: A Multi-label/Multi-target Extension to WEKA JMLR 2016 Multi-Label Classification with Cutset Networks PGM 2016 Multi-Label Ranking From Positive and Unlabeled Data CVPR 2016 On the Power and Limits of Distance-Based Learning ICML 2016 PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification ICML 2016 Recognizing Emotions From Abstract Paintings Using Non-Linear Matrix Completion CVPR 2016 Regret Bounds for Non-decomposable Metrics with Missing Labels NeurIPS 2016 Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks COLING 2016 Structured Prediction Energy Networks ICML 2016 Consistent Multilabel Classification NeurIPS 2015 Counterfactual Risk Minimization: Learning from Logged Bandit Feedback ICML 2015 DEEP-CARVING: Discovering Visual Attributes by Carving Deep Neural Nets CVPR 2015 Embedding Inference for Structured Multilabel Prediction NeurIPS 2015 Im2Calories: Towards an Automated Mobile Vision Food Diary ICCV 2015 Joint Patch and Multi-Label Learning for Facial Action Unit Detection CVPR 2015 Learning Graph Structure for Multi-Label Image Classification via Clique Generation CVPR 2015 Love Thy Neighbors: Image Annotation by Exploiting Image Metadata ICCV 2015 On the Optimality of Classifier Chain for Multi-label Classification NeurIPS 2015