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Multi-task learning

Multi-task learning (MTL) is a subfield of machine learning in which multiple learning tasks are solved at the same time, while exploiting commonalities and differences across tasks. This can result in improved learning efficiency and prediction accuracy for the task-specific models, when compared to training the models separately. Inherently, Multi-task…

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Multi-task learning

Nodes54
Edges53
Triples43
Avg. degree1.96
Density0.037037
Components1

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Multi-task learning

Top relations

related to Software package · 13
Multi-task learning → Alternating Structural Optimization, Clustered Multi-Task Learning, Graph Structures, Incoherent Low-Rank, Joint Feature Selection, MALSAR, Matlab, Mean-Regularized Multi-Task Learning, Robust Low-Rank Multi-Task Learning, Robust Multi-Task Feature Learning, Sparse Learning, StructurAl Regularization, Trace-Norm Regularized Multi-Task Learning
related to Multiple non-stationary tasks · 6
Multi-task learning → GOAL, Group, Sharing, Such, Their, Traditionally Multi-task
related to Transfer of knowledge · 6
Multi-task learning → For, GoogLeNet, Large, Or, Related, Whereas
related to Software · 5
Multi-task learning → Learning Toolkit, NET, OMT, Structural Regularization PackageOnline Multi-Task, The Multi-Task Learning
has method · 3
Multi-task learning → The, There, This
is a · 2
Multi-task learning → concept of knowledge transfer, multi-objective optimization problem having trade-offs between different tasks
related to Multi-task optimization · 2
Multi-task learning → Multi-task, The

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tasks learning displaystyle task multi-task optimization mtl transfer mathcal different related across may kernel problem example mathbb training space classification

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Multi-task learningis amulti-objective optimization problem having trade-offs between different tasks0.90text
Multi-task learningis aconcept of knowledge transfer0.90text
the deep convolutional neural network GoogLeNetinstance ofLarge scale machine learning projects0.80text
an image-based object classifierinstance ofLarge scale machine learning projects0.80text
can develop robust representations which may be useful to further algorithms learning related tasksinstance ofLarge scale machine learning projects0.80text
treesinstance ofto a higher dimensional space to encode complex structures0.80text
graphsinstance ofto a higher dimensional space to encode complex structures0.80text
stringsinstance ofto a higher dimensional space to encode complex structures0.80text
Multi-task learninghas methodThe0.60section
Multi-task learninghas methodThis0.60section
Multi-task learninghas methodThere0.60section
Multi-task learningrelated to Multi-task optimizationMulti-task0.60section

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