Multi-Label Classification

Multi-Label Ranking From Positive and Unlabeled Data CVPR 2016 PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification ICML 2016 Political News Sentiment Analysis for Under-resourced Languages COLING 2016 Recognizing Emotions From Abstract Paintings Using Non-Linear Matrix Completion CVPR 2016 Regret Bounds for Non-decomposable Metrics with Missing Labels NeurIPS 2016 Structured Prediction Energy Networks ICML 2016 Consistent Multilabel Classification NeurIPS 2015 Counterfactual Risk Minimization: Learning from Logged Bandit Feedback ICML 2015 Embedding Inference for Structured Multilabel Prediction NeurIPS 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 Learning with a Wasserstein Loss NeurIPS 2015 Multi-instance multi-label learning in the presence of novel class instances ICML 2015 On the Optimality of Classifier Chain for Multi-label Classification NeurIPS 2015 On the Optimality of Multi-Label Classification under Subset Zero-One Loss for Distributions Satisfying the Composition Property ICML 2015 Ontological Supervision for Fine Grained Classification of Street View Storefronts CVPR 2015 Predtron: A Family of Online Algorithms for General Prediction Problems NeurIPS 2015 Semi-Supervised Low-Rank Mapping Learning for Multi-Label Classification CVPR 2015 Sparse Local Embeddings for Extreme Multi-label Classification NeurIPS 2015 Condensed Filter Tree for Cost-Sensitive Multi-Label Classification ICML 2014 Multi-label Classification via Feature-aware Implicit Label Space Encoding ICML 2014 Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks NeurIPS 2014 Predicting Useful Neighborhoods for Lazy Local Learning NeurIPS 2014 Efficient Multi-label Classification with Many Labels ICML 2013 Kernelized Bayesian Matrix Factorization ICML 2013