Multi-Task Learning

Efficient Large-Scale Structured Learning CVPR 2013 Excess risk bounds for multitask learning with trace norm regularization COLT 2013 Facial Action Unit Event Detection by Cascade of Tasks ICCV 2013 Factorial Multi-Task Learning : A Bayesian Nonparametric Approach ICML 2013 From N to N+1: Multiclass Transfer Incremental Learning CVPR 2013 Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model ICCV 2013 Heterogeneous-Neighborhood-based Multi-Task Local Learning Algorithms NeurIPS 2013 Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition ICCV 2013 Hierarchical Regularization Cascade for Joint Learning ICML 2013 It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals NeurIPS 2013 Joint Deep Learning for Pedestrian Detection ICCV 2013 Latent Maximum Margin Clustering NeurIPS 2013 Latent Multitask Learning for View-Invariant Action Recognition ICCV 2013 Learning Adaptive Value of Information for Structured Prediction NeurIPS 2013 Learning Cross-Domain Information Transfer for Location Recognition and Clustering CVPR 2013 Learning Feature Selection Dependencies in Multi-task Learning NeurIPS 2013 Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets CVPR 2013 Learning Multiple Models via Regularized Weighting NeurIPS 2013 Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection ICCV 2013 Learning to Rank Using Privileged Information ICCV 2013 Learning to Share Latent Tasks for Action Recognition ICCV 2013 Multilabel Classification through Random Graph Ensembles ACML 2013 Multilinear Multitask Learning ICML 2013 Multi-Task Bayesian Optimization NeurIPS 2013 Multi-task Sparse Learning with Beta Process Prior for Action Recognition CVPR 2013