multi-task learning

θ-MRF: Capturing Spatial and Semantic Structure in the Parameters for Scene Understanding NeurIPS 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 NeurIPS 2011 Computationally Efficient Convolved Multiple Output Gaussian Processes JMLR 2011 Deep Learners Benefit More from Out-of-Distribution Examples AISTATS 2011 Generalizing from Several Related Classification Tasks to a New Unlabeled Sample NeurIPS 2011 Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation NeurIPS 2011 Infinite Latent SVM for Classification and Multi-task Learning NeurIPS 2011 Large Margin Hierarchical Classification with Mutually Exclusive Class Membership JMLR 2011 Multitask Sparsity via Maximum Entropy Discrimination JMLR 2011 Online Learning of Multiple Tasks and Their Relationships AISTATS 2011 Sparse Bayesian Multi-Task Learning NeurIPS 2011 Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning NeurIPS 2011 Union Support Recovery in Multi-task Learning JMLR 2011 Adaptive Multi-Task Lasso: with Application to eQTL Detection NeurIPS 2010 A Dirty Model for Multi-task Learning NeurIPS 2010 Classification with Incomplete Data Using Dirichlet Process Priors JMLR 2010 Efficient Multioutput Gaussian Processes through Variational Inducing Kernels AISTATS 2010 Infinite Predictor Subspace Models for Multitask Learning AISTATS 2010 Large Margin Multi-Task Metric Learning NeurIPS 2010 Learning Multiple Tasks using Manifold Regularization NeurIPS 2010 Learning Multiple Tasks with a Sparse Matrix-Normal Penalty NeurIPS 2010 Linear Algorithms for Online Multitask Classification JMLR 2010 Multitask Learning for Brain-Computer Interfaces AISTATS 2010 Multi-task Learning for Recommender System ACML 2010