STG-MTL: scalable task grouping for multi-task learning using data maps

Multi-Task Learning (MTL) is a powerful technique that has gained popularity due to its performance improvement over traditional Single-Task Learning (STL). However, MTL is often challenging because there is an exponential number of possible task groupings, which can make it difficult to choose the...

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Bibliographic Details
Main Authors: Ammar Sherif, Abubakar Abid, Mustafa Elattar, Mohamed ElHelw
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:Machine Learning: Science and Technology
Subjects:
Online Access:https://doi.org/10.1088/2632-2153/ad4e04