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Multi-Task Learning

973 papers

Papers per year

10
161
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Papers

Distral: Robust multitask reinforcement learning NIPS 2017
Consistent Multitask Learning with Nonlinear Output Relations NIPS 2017
Multi-output Polynomial Networks and Factorization Machines NIPS 2017
Learning attention for historical text normalization by learning to pronounce ACL 2017
Domain Attention with an Ensemble of Experts ACL 2017
Multi-Task Video Captioning with Video and Entailment Generation ACL 2017
Deep Multitask Learning for Semantic Dependency Parsing ACL 2017
Semi-supervised Multitask Learning for Sequence Labeling ACL 2017
Multi-Task Learning of Keyphrase Boundary Classification ACL 2017
Twitter Demographic Classification Using Deep Multi-modal Multi-task Learning ACL 2017
Weakly Supervised Actor-Action Segmentation via Robust Multi-Task Ranking CVPR 2017
Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals CVPR 2017
Deep MANTA: A Coarse-To-Fine Many-Task Network for Joint 2D and 3D Vehicle Analysis From Monocular Image CVPR 2017
Dense Captioning With Joint Inference and Visual Context CVPR 2017
CLKN: Cascaded Lucas-Kanade Networks for Image Alignment CVPR 2017
Expert Gate: Lifelong Learning With a Network of Experts CVPR 2017
Webly Supervised Semantic Segmentation CVPR 2017
Multi-Task Correlation Particle Filter for Robust Object Tracking CVPR 2017
Procedural Generation of Videos to Train Deep Action Recognition Networks CVPR 2017
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition CVPR 2017
Consistent-Aware Deep Learning for Person Re-Identification in a Camera Network CVPR 2017
Learning Object Interactions and Descriptions for Semantic Image Segmentation CVPR 2017
Deep Multitask Architecture for Integrated 2D and 3D Human Sensing CVPR 2017
Deep Network Flow for Multi-Object Tracking CVPR 2017
Identifying beneficial task relations for multi-task learning in deep neural networks EACL 2017