Transfer Learning: Scenarios, Self-Taught Learning, and Multitask Learning

Uday Kamath; John Liu; James Whitaker

Book Chapter

Transfer Learning: Scenarios, Self-Taught Learning, and Multitask Learning

Kamath U
Liu J
Whitaker J

Springer International Publishing, (2019), 463-493

DOI: 10.1007/978-3-030-14596-5_10

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Abstract

Most supervised machine learning techniques, such as classification, rely on some underlying assumptions, such as: (a) the data distributions during training and prediction time are similar; (b) the label space during training and prediction time are similar; and (c)...

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Kamath, U., Liu, J., & Whitaker, J. (2019). Transfer Learning: Scenarios, Self-Taught Learning, and Multitask Learning. In Deep Learning for NLP and Speech Recognition (pp. 463–493). Springer International Publishing. https://doi.org/10.1007/978-3-030-14596-5_10

Transfer Learning: Scenarios, Self-Taught Learning, and Multitask Learning

Abstract

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