multi-task learning

Efficient Output Kernel Learning for Multiple Tasks NeurIPS 2015 From Emotions to Action Units With Hidden and Semi-Hidden-Task Learning ICCV 2015 GAP Safe screening rules for sparse multi-task and multi-class models NeurIPS 2015 Hyper-Class Augmented and Regularized Deep Learning for Fine-Grained Image Classification CVPR 2015 Jointly Learning Heterogeneous Features for RGB-D Activity Recognition CVPR 2015 Learning Multiple Visual Tasks While Discovering Their Structure CVPR 2015 Learning to Transfer: Transferring Latent Task Structures and Its Application to Person-Specific Facial Action Unit Detection ICCV 2015 Learning With Dataset Bias in Latent Subcategory Models CVPR 2015 Localize Me Anywhere, Anytime: A Multi-Task Point-Retrieval Approach ICCV 2015 Multi-Feature Max-Margin Hierarchical Bayesian Model for Action Recognition CVPR 2015 Multi-Task Deep Visual-Semantic Embedding for Video Thumbnail Selection CVPR 2015 Multi-Task Learning for Subspace Segmentation ICML 2015 Multi-Task Learning With Low Rank Attribute Embedding for Person Re-Identification ICCV 2015 Multi-Task Recurrent Neural Network for Immediacy Prediction ICCV 2015 Pedestrian Detection Aided by Deep Learning Semantic Tasks CVPR 2015 Rotating Your Face Using Multi-Task Deep Neural Network CVPR 2015 Bayesian Inference with Posterior Regularization and Applications to Infinite Latent SVMs JMLR 2014 Bayesian Max-margin Multi-Task Learning with Data Augmentation ICML 2014 Bi-label Propagation for Generic Multiple Object Tracking CVPR 2014 Decorrelating Semantic Visual Attributes by Resisting the Urge to Share CVPR 2014 Deep Joint Task Learning for Generic Object Extraction NeurIPS 2014 Input Warping for Bayesian Optimization of Non-Stationary Functions ICML 2014 Learning Multiple Tasks in Parallel with a Shared Annotator NeurIPS 2014 Multitask learning meets tensor factorization: task imputation via convex optimization NeurIPS 2014 Online Multi-Task Learning for Policy Gradient Methods ICML 2014