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Multi-Task Learning

519 directly classified papers

Papers per year

Papers

Multi-Task Learning using Generalized t Process AISTATS 2010
Multi-task Learning for Recommender System ACML 2010
Exclusive Lasso for Multi-task Feature Selection AISTATS 2010
Large Margin Multi-Task Metric Learning NIPS 2010
Heterogeneous multitask learning with joint sparsity constraints NIPS 2009
Sharing Features among Dynamical Systems with Beta Processes NIPS 2009
Multi-task Gaussian Process Learning of Robot Inverse Dynamics NIPS 2008
Clustered Multi-Task Learning: A Convex Formulation NIPS 2008
Multi-Task Learning for Classification with Dirichlet Process Priors JMLR 2007
Multi-task Gaussian Process Prediction NIPS 2007
A Spectral Regularization Framework for Multi-Task Structure Learning NIPS 2007
Semi-Supervised Multitask Learning NIPS 2007
Multi-Task Learning via Conic Programming NIPS 2007
Incremental Algorithms for Hierarchical Classification JMLR 2006
Multi-Task Feature Learning NIPS 2006
Bounds for Linear Multi-Task Learning JMLR 2006
Learning Module Networks JMLR 2005
Learning Multiple Tasks with Kernel Methods JMLR 2005
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data JMLR 2005