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Multi-Task Learning

519 directly classified papers

Papers per year

Papers

Learning Cross-Domain Information Transfer for Location Recognition and Clustering CVPR 2013
Learning Feature Selection Dependencies in Multi-task Learning NIPS 2013
Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis NIPS 2013
Hierarchical Regularization Cascade for Joint Learning ICML 2013
Exploiting Unrelated Tasks in Multi-Task Learning AISTATS 2012
Lifted coordinate descent for learning with trace-norm regularization AISTATS 2012
Marginal Regression For Multitask Learning AISTATS 2012
Multi-task Vector Field Learning NIPS 2012
Bayesian models for Large-scale Hierarchical Classification NIPS 2012
Putting Bayes to sleep NIPS 2012
Learning Multiple Tasks using Shared Hypotheses NIPS 2012
Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL NIPS 2012
Learning curves for multi-task Gaussian process regression NIPS 2012
Deep Learners Benefit More from Out-of-Distribution Examples AISTATS 2011
Infinite Latent SVM for Classification and Multi-task Learning NIPS 2011
Online Learning of Multiple Tasks and Their Relationships AISTATS 2011
Assisting Main Task Learning by Heterogeneous Auxiliary Tasks with Applications to Skin Cancer Screening AISTATS 2011
Clustered Multi-Task Learning Via Alternating Structure Optimization NIPS 2011
Probabilistic Multi-Task Feature Selection NIPS 2010
A Dirty Model for Multi-task Learning NIPS 2010
Learning Multiple Tasks using Manifold Regularization NIPS 2010
Learning Multiple Tasks with a Sparse Matrix-Normal Penalty NIPS 2010
Multitask Learning without Label Correspondences NIPS 2010
Infinite Predictor Subspace Models for Multitask Learning AISTATS 2010
Factorized Orthogonal Latent Spaces AISTATS 2010