Provable Active Multi-Task Representation Learning

Multi-task representation learning is an emerging machine learning paradigm that integrates data from multiple sources, harnessing task similarities to enhance overall model performance. The application of multi-task learning to real-world settings is hindered due to data scarcity, along with challe...

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Vydáno v:	IEEE transactions on signal processing s. 1 - 15
Hlavní autoři:	Lin, Jiabin, Moothedath, Shana, Le, Tuan Anh
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	IEEE 2025
Témata:	active learning alternating gradient descent and minimization algorithm Complexity theory Machine learning algorithms Minimization Multi-task representation learning Multitasking Noise Representation learning Signal processing algorithms Training transfer learning Vectors
ISSN:	1053-587X, 1941-0476
On-line přístup:	Získat plný text
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