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Multi-Task Learning

2117 directly classified papers

Papers per year

Papers

Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization NIPS 2009
Multi-Label Prediction via Sparse Infinite CCA NIPS 2009
Who’s Doing What: Joint Modeling of Names and Verbs for Simultaneous Face and Pose Annotation NIPS 2009
Evaluating multi-class learning strategies in a generative hierarchical framework for object detection NIPS 2009
Heterogeneous multitask learning with joint sparsity constraints NIPS 2009
Breaking Boundaries Between Induction Time and Diagnosis Time Active Information Acquisition NIPS 2009
Simple Local Models for Complex Dynamical Systems NIPS 2008
Sparse Convolved Gaussian Processes for Multi-output Regression NIPS 2008
Multi-task Gaussian Process Learning of Robot Inverse Dynamics NIPS 2008
Clustered Multi-Task Learning: A Convex Formulation NIPS 2008
A Stochastic Algorithm for Feature Selection in Pattern Recognition JMLR 2007
A Spectral Regularization Framework for Multi-Task Structure Learning NIPS 2007
Multi-Task Learning via Conic Programming NIPS 2007
Semi-Supervised Multitask Learning NIPS 2007
Multi-Task Learning for Classification with Dirichlet Process Priors JMLR 2007
Multi-task Gaussian Process Prediction NIPS 2007
Boosting Structured Prediction for Imitation Learning NIPS 2006