Learning Representation for Multitask Learning Through Self-supervised Auxiliary Learning

Seokwon Shin; Hyungrok Do; Youngdoo Son

doi:10.1007/978-3-031-72989-8_14

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Learning Representation for Multitask Learning Through Self-supervised Auxiliary Learning

Seokwon Shin Hyungrok Do Youngdoo Son

Year: 2024 Lecture notes in computer science Pages: 241-258 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-72989-8_14

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Keywords:

Computer science Multi-task learning Artificial intelligence Representation (politics) Machine learning Feature learning Semi-supervised learning Task (project management)

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Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning and Algorithms

Physical Sciences → Computer Science → Artificial Intelligence

Learning Representation for Multitask Learning Through Self-supervised Auxiliary Learning

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