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Multi-Task Learning

2117 directly classified papers

Papers per year

Papers

It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals NIPS 2013
Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection ICCV 2013
Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition ICCV 2013
Learning to Rank Using Privileged Information ICCV 2013
Factorial Multi-Task Learning : A Bayesian Nonparametric Approach ICML 2013
Hierarchical Regularization Cascade for Joint Learning ICML 2013
Learned Prioritization for Trading Off Accuracy and Speed NIPS 2012
Learning Partially Observable Models Using Temporally Abstract Decision Trees NIPS 2012
Multiple Operator-valued Kernel Learning NIPS 2012
SpeedBoost: Anytime Prediction with Uniform Near-Optimality AISTATS 2012
A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping AISTATS 2012
Robust Multi-task Regression with Grossly Corrupted Observations AISTATS 2012
Multi-Stage Multi-Task Feature Learning NIPS 2012
Learning curves for multi-task Gaussian process regression NIPS 2012
Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL NIPS 2012
Multiple Choice Learning: Learning to Produce Multiple Structured Outputs NIPS 2012
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
Active Learning of Multi-Index Function Models NIPS 2012
Max-Margin Structured Output Regression for Spatio-Temporal Action Localization NIPS 2012
Monte Carlo Methods for Maximum Margin Supervised Topic Models NIPS 2012
On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks NIPS 2012