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Multi-Task Learning

2117 directly classified papers

Papers per year

Papers

Multi-Task Learning With Low Rank Attribute Embedding for Person Re-Identification ICCV 2015
On Multiplicative Multitask Feature Learning NIPS 2014
Efficiently Enforcing Diversity in Multi-Output Structured Prediction AISTATS 2014
Multi-feature Spectral Clustering with Minimax Optimization CVPR 2014
Understanding Objects in Detail with Fine-Grained Attributes CVPR 2014
Unified Face Analysis by Iterative Multi-Output Random Forests CVPR 2014
Spectral k-Support Norm Regularization NIPS 2014
Multitask learning meets tensor factorization: task imputation via convex optimization NIPS 2014
Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks NIPS 2014
Robust Bayesian Max-Margin Clustering NIPS 2014
Deep Joint Task Learning for Generic Object Extraction NIPS 2014
Two-Stream Convolutional Networks for Action Recognition in Videos NIPS 2014
Decorrelating Semantic Visual Attributes by Resisting the Urge to Share CVPR 2014
Learning Multiple Tasks in Parallel with a Shared Annotator NIPS 2014
Robust Multi-objective Learning with Mentor Feedback COLT 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
Online Multi-Task Learning for Policy Gradient Methods ICML 2014
Revisiting Stein's Paradox: Multi-Task Averaging JMLR 2014
Action from Still Image Dataset and Inverse Optimal Control to Learn Task Specific Visual Scanpaths NIPS 2013
Multi-Task Bayesian Optimization NIPS 2013
Block Regularized Lasso for Multivariate Multi-Response Linear Regression AISTATS 2013
Divide and Conquer Kernel Ridge Regression COLT 2013
Structure Preserving Object Tracking CVPR 2013
Efficient Large-Scale Structured Learning CVPR 2013