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Multi-Task Learning

2117 directly classified papers

Papers per year

Papers

Learning Multiple Tasks using Shared Hypotheses NIPS 2012
Bayesian Hierarchical Reinforcement Learning NIPS 2012
Putting Bayes to sleep NIPS 2012
Augmented-SVM: Automatic space partitioning for combining multiple non-linear dynamics NIPS 2012
Multi-Task Averaging NIPS 2012
Clustered Multi-Task Learning Via Alternating Structure Optimization NIPS 2011
Infinite Latent SVM for Classification and Multi-task Learning NIPS 2011
Assisting Main Task Learning by Heterogeneous Auxiliary Tasks with Applications to Skin Cancer Screening AISTATS 2011
Two-Layer Multiple Kernel Learning AISTATS 2011
Multitask Sparsity via Maximum Entropy Discrimination JMLR 2011
Co-Training for Domain Adaptation NIPS 2011
Maximum Margin Multi-Label Structured Prediction NIPS 2011
Online Learning of Multiple Tasks and Their Relationships AISTATS 2011
Learning a Tree of Metrics with Disjoint Visual Features NIPS 2011
Reverse Multi-Label Learning NIPS 2010
Infinite Predictor Subspace Models for Multitask Learning AISTATS 2010
Multi-Task Learning using Generalized t Process AISTATS 2010
Multi-task Learning for Recommender System ACML 2010
Adaptive Multi-Task Lasso: with Application to eQTL Detection NIPS 2010
A Dirty Model for Multi-task Learning NIPS 2010
Beyond Actions: Discriminative Models for Contextual Group Activities NIPS 2010
Efficient Optimization for Discriminative Latent Class Models NIPS 2010
Predictive Subspace Learning for Multi-view Data: a Large Margin Approach NIPS 2010
Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models NIPS 2010
Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes NIPS 2009