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Multi-Task Learning

2,582 papers

Papers per year

3
17
30
283
334
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Papers

Part & Clamp: Efficient Structured Output Learning AISTATS 2012
Exploiting Unrelated Tasks in Multi-Task Learning AISTATS 2012
Robust Multi-task Regression with Grossly Corrupted Observations AISTATS 2012
Maximum Margin Multi-Label Structured Prediction NIPS 2011
Co-Training for Domain Adaptation NIPS 2011
Infinite Latent SVM for Classification and Multi-task Learning NIPS 2011
Clustered Multi-Task Learning Via Alternating Structure Optimization NIPS 2011
Learning a Tree of Metrics with Disjoint Visual Features NIPS 2011
Deep Learners Benefit More from Out-of-Distribution Examples AISTATS 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
Two-Layer Multiple Kernel Learning AISTATS 2011
Multitask Sparsity via Maximum Entropy Discrimination JMLR 2011
A Dirty Model for Multi-task Learning NIPS 2010
Large Margin Multi-Task Metric Learning NIPS 2010
Beyond Actions: Discriminative Models for Contextual Group Activities NIPS 2010
Learning Multiple Tasks using Manifold Regularization NIPS 2010
Adaptive Multi-Task Lasso: with Application to eQTL Detection NIPS 2010
Efficient Optimization for Discriminative Latent Class Models NIPS 2010
Learning Multiple Tasks with a Sparse Matrix-Normal Penalty NIPS 2010
Probabilistic Multi-Task Feature Selection NIPS 2010
Predictive Subspace Learning for Multi-view Data: a Large Margin Approach NIPS 2010
Multitask Learning without Label Correspondences NIPS 2010
Reverse Multi-Label Learning NIPS 2010
Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models NIPS 2010