Multi-Task Learning

Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation NeurIPS 2011 Infinite Latent SVM for Classification and Multi-task Learning NeurIPS 2011 Learning a Tree of Metrics with Disjoint Visual Features NeurIPS 2011 Maximum Margin Multi-Label Structured Prediction NeurIPS 2011 Multitask Sparsity via Maximum Entropy Discrimination JMLR 2011 Online Learning of Multiple Tasks and Their Relationships AISTATS 2011 Sparse Bayesian Multi-Task Learning NeurIPS 2011 Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning NeurIPS 2011 Transfer from Multiple MDPs NeurIPS 2011 Two-Layer Multiple Kernel Learning AISTATS 2011 Adaptive Multi-Task Lasso: with Application to eQTL Detection NeurIPS 2010 A Dirty Model for Multi-task Learning NeurIPS 2010 Beyond Actions: Discriminative Models for Contextual Group Activities NeurIPS 2010 Efficient Optimization for Discriminative Latent Class Models NeurIPS 2010 Exclusive Lasso for Multi-task Feature Selection AISTATS 2010 Factorized Orthogonal Latent Spaces AISTATS 2010 Infinite Predictor Subspace Models for Multitask Learning AISTATS 2010 Large Margin Multi-Task Metric Learning NeurIPS 2010 Learning Multiple Tasks using Manifold Regularization NeurIPS 2010 Learning Multiple Tasks with a Sparse Matrix-Normal Penalty NeurIPS 2010 Multi-task Learning for Recommender System ACML 2010 Multi-Task Learning using Generalized t Process AISTATS 2010 Multitask Learning without Label Correspondences NeurIPS 2010 Predictive Subspace Learning for Multi-view Data: a Large Margin Approach NeurIPS 2010 Probabilistic Multi-Task Feature Selection NeurIPS 2010