Multi-Task Learning
1,069 papers
Papers per year
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38
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Papers
Learning Semantic Relationships for Better Action Retrieval in Images
CVPR 2015
Multi-Objective Convolutional Learning for Face Labeling
CVPR 2015
Multi-Task Deep Visual-Semantic Embedding for Video Thumbnail Selection
CVPR 2015
Pedestrian Detection Aided by Deep Learning Semantic Tasks
CVPR 2015
Rotating Your Face Using Multi-Task Deep Neural Network
CVPR 2015
Visual Recognition by Learning From Web Data: A Weakly Supervised Domain Generalization Approach
CVPR 2015
Decorrelating Semantic Visual Attributes by Resisting the Urge to Share
CVPR 2014
Deep Joint Task Learning for Generic Object Extraction
NeurIPS 2014
Multitask learning meets tensor factorization: task imputation via convex optimization
NeurIPS 2014
QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models
NeurIPS 2014
Robust Scale Estimation in Real-Time Monocular SFM for Autonomous Driving
CVPR 2014
Two-Stream Convolutional Networks for Action Recognition in Videos
NeurIPS 2014
Robust Multi-resolution Pedestrian Detection in Traffic Scenes
CVPR 2013
Learning curves for multi-task Gaussian process regression
NeurIPS 2012
Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL
NeurIPS 2012
Extracting Speaker-Specific Information with a Regularized Siamese Deep Network
NeurIPS 2011
Learning from Neighboring Strokes: Combining Appearance and Context for Multi-Domain Sketch Recognition
NeurIPS 2009
Sparse Convolved Gaussian Processes for Multi-output Regression
NeurIPS 2008
Multi-Task Feature Learning
NeurIPS 2006