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Multi-Task Learning

210 directly classified papers

Papers per year

Papers

Frustratingly Easy Neural Domain Adaptation COLING 2016
Integrated perception with recurrent multi-task neural networks NIPS 2016
Learning from Multiway Data: Simple and Efficient Tensor Regression ICML 2016
Rich Component Analysis ICML 2016
PPP: Joint Pointwise and Pairwise Image Label Prediction CVPR 2016
GAP Safe screening rules for sparse multi-task and multi-class models NIPS 2015
Multi-Feature Max-Margin Hierarchical Bayesian Model for Action Recognition CVPR 2015
Multiple Instance Learning for Soft Bags via Top Instances CVPR 2015
Convex Learning of Multiple Tasks and their Structure ICML 2015
Dynamic Programming Boosting for Discriminative Macro-Action Discovery ICML 2014
Learning Multiple Tasks in Parallel with a Shared Annotator NIPS 2014
QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models NIPS 2014
Weakly Supervised Multiclass Video Segmentation CVPR 2014
Discriminative Hierarchical Modeling of Spatio-Temporally Composable Human Activities CVPR 2014
Bi-label Propagation for Generic Multiple Object Tracking CVPR 2014
Joint Deep Learning for Pedestrian Detection ICCV 2013
Learning to Share Latent Tasks for Action Recognition ICCV 2013
Tracking via Robust Multi-task Multi-view Joint Sparse Representation ICCV 2013
Dirty Statistical Models NIPS 2013
SCALPEL: Segmentation Cascades with Localized Priors and Efficient Learning CVPR 2013
Subcategory-Aware Object Classification CVPR 2013
Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets CVPR 2013
Stability of Multi-Task Kernel Regression Algorithms ACML 2013
Learning Adaptive Value of Information for Structured Prediction NIPS 2013
A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping AISTATS 2012