multi-task learning

Parametric Task Learning NeurIPS 2013 Reward Mapping for Transfer in Long-Lived Agents NeurIPS 2013 Robust Multi-resolution Pedestrian Detection in Traffic Scenes CVPR 2013 Sparse coding for multitask and transfer learning ICML 2013 Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis NeurIPS 2013 The Multi-Task Learning View of Multimodal Data ACML 2013 Tracking via Robust Multi-task Multi-view Joint Sparse Representation ICCV 2013 A Case Study on Meta-Generalising: A Gaussian Processes Approach JMLR 2012 A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping AISTATS 2012 Bayesian models for Large-scale Hierarchical Classification NeurIPS 2012 Exploiting Unrelated Tasks in Multi-Task Learning AISTATS 2012 High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction NeurIPS 2012 Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing AISTATS 2012 Learning Algorithms for the Classification Restricted Boltzmann Machine JMLR 2012 Learning curves for multi-task Gaussian process regression NeurIPS 2012 Learning Multiple Tasks using Shared Hypotheses NeurIPS 2012 Lifted coordinate descent for learning with trace-norm regularization AISTATS 2012 Marginal Regression For Multitask Learning AISTATS 2012 Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL NeurIPS 2012 Multi-Stage Multi-Task Feature Learning NeurIPS 2012 Multi-Task Averaging NeurIPS 2012 Multi-task Vector Field Learning NeurIPS 2012 Putting Bayes to sleep NeurIPS 2012 Refinement of Operator-valued Reproducing Kernels JMLR 2012 Regularization Techniques for Learning with Matrices JMLR 2012