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Multi-Task Learning

2,582 papers

Papers per year

3
17
30
283
334
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Papers

Multi-Task Averaging NIPS 2012
Augmented-SVM: Automatic space partitioning for combining multiple non-linear dynamics NIPS 2012
Multi-Stage Multi-Task Feature Learning NIPS 2012
Multiple Operator-valued Kernel Learning NIPS 2012
Learning Partially Observable Models Using Temporally Abstract Decision Trees NIPS 2012
Putting Bayes to sleep NIPS 2012
Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression NIPS 2012
Bayesian Hierarchical Reinforcement Learning NIPS 2012
On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks NIPS 2012
High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction NIPS 2012
Learned Prioritization for Trading Off Accuracy and Speed NIPS 2012
Monte Carlo Methods for Maximum Margin Supervised Topic Models NIPS 2012
Max-Margin Structured Output Regression for Spatio-Temporal Action Localization NIPS 2012
Learning Multiple Tasks using Shared Hypotheses NIPS 2012
Bayesian models for Large-scale Hierarchical Classification NIPS 2012
Multi-task Vector Field Learning NIPS 2012
Active Learning of Multi-Index Function Models NIPS 2012
Multiple Choice Learning: Learning to Produce Multiple Structured Outputs 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
Multi-view Positive and Unlabeled Learning ACML 2012
A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping AISTATS 2012
Lifted coordinate descent for learning with trace-norm regularization AISTATS 2012
SpeedBoost: Anytime Prediction with Uniform Near-Optimality AISTATS 2012
Marginal Regression For Multitask Learning AISTATS 2012