Asymmetric multi-task learning based on task relatedness and loss

33rd International Conference on Machine Learning, ICML 2016

Volumn 1, Issue , 2016, Pages 374-382

  Lee, Giwoong ^a   Yang, Eunho ^b   Hwang, Sung Ju ^a  

^a Ulsan National Institute of Science and Technology   (South Korea)

^b Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); CURRICULA; DIRECTED GRAPHS; LEARNING ALGORITHMS; OPTIMIZATION;

ASYMMETRIC TRANSFER; LEARNING OBJECTIVES; LEARNING STRATEGY; MULTIPLE DATA SETS; MULTIPLE TASKS; MULTITASK LEARNING; SINGLE TASK LEARNING; TASK RELATEDNESS;

LEARNING SYSTEMS;

EID: 84997831824     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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