Multi-Task Learning

Learning Multiple Tasks in Parallel with a Shared Annotator NeurIPS 2014 Multi-feature Spectral Clustering with Minimax Optimization CVPR 2014 Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks NeurIPS 2014 Multitask learning meets tensor factorization: task imputation via convex optimization NeurIPS 2014 Online Multi-Task Learning for Policy Gradient Methods ICML 2014 On Multiplicative Multitask Feature Learning NeurIPS 2014 Open Problem: A (Missing) Boosting-type Convergence Result for AdaBoost.MH with Factorized Multi-class Classifiers COLT 2014 Predicting Multiple Attributes via Relative Multi-task Learning CVPR 2014 QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models NeurIPS 2014 Revisiting Stein's Paradox: Multi-Task Averaging JMLR 2014 Robust Bayesian Max-Margin Clustering NeurIPS 2014 Robust Multi-objective Learning with Mentor Feedback COLT 2014 Sparse Multi-Task Reinforcement Learning NeurIPS 2014 Spectral k-Support Norm Regularization NeurIPS 2014 Two-Stream Convolutional Networks for Action Recognition in Videos NeurIPS 2014 Understanding Objects in Detail with Fine-Grained Attributes CVPR 2014 Unified Face Analysis by Iterative Multi-Output Random Forests CVPR 2014 Weakly Supervised Multiclass Video Segmentation CVPR 2014 Action from Still Image Dataset and Inverse Optimal Control to Learn Task Specific Visual Scanpaths NeurIPS 2013 Block Regularized Lasso for Multivariate Multi-Response Linear Regression AISTATS 2013 Buy-in-Bulk Active Learning NeurIPS 2013 Cascaded Shape Space Pruning for Robust Facial Landmark Detection ICCV 2013 Dirty Statistical Models NeurIPS 2013 Discriminative Transfer Learning with Tree-based Priors NeurIPS 2013 Divide and Conquer Kernel Ridge Regression COLT 2013