conftrace_
← Learning Types
Machine Learning › Learning Types ›

Multi-Task Learning

2,582 papers

Papers per year

3
17
30
283
334
'05
'10
'15
'20
'25

Papers

Multi-task Learning for Recommender System ACML 2010
Infinite Predictor Subspace Models for Multitask Learning AISTATS 2010
Factorized Orthogonal Latent Spaces AISTATS 2010
Multi-Task Learning using Generalized t Process AISTATS 2010
Exclusive Lasso for Multi-task Feature Selection AISTATS 2010
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
Asymptotically Optimal Regularization in Smooth Parametric Models NIPS 2009
Sharing Features among Dynamical Systems with Beta Processes NIPS 2009
Heterogeneous multitask learning with joint sparsity constraints NIPS 2009
Evaluating multi-class learning strategies in a generative hierarchical framework for object detection NIPS 2009
Efficient and Accurate Lp-Norm Multiple Kernel Learning NIPS 2009
Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization NIPS 2009
Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes NIPS 2009
Breaking Boundaries Between Induction Time and Diagnosis Time Active Information Acquisition NIPS 2009
Sparse Convolved Gaussian Processes for Multi-output Regression NIPS 2008
Multi-task Gaussian Process Learning of Robot Inverse Dynamics NIPS 2008
Simple Local Models for Complex Dynamical Systems NIPS 2008
Clustered Multi-Task Learning: A Convex Formulation NIPS 2008
Multi-task Gaussian Process Prediction NIPS 2007
Multi-Task Learning via Conic Programming NIPS 2007
A Spectral Regularization Framework for Multi-Task Structure Learning NIPS 2007
Semi-Supervised Multitask Learning NIPS 2007
Multi-Task Learning for Classification with Dirichlet Process Priors JMLR 2007
A Stochastic Algorithm for Feature Selection in Pattern Recognition JMLR 2007