What can we learn from Small Data

Nyíri, Tamás Bence and Kiss, Attila (2023) What can we learn from Small Data. INFOCOMMUNICATIONS JOURNAL, 15 (SI). pp. 27-34. ISSN 2061-2079

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Abstract

Over the past decade, deep learning has pro- foundly transformed the landscape of science and tech- nology, from refining advertising algorithms to pioneering self-driving vehicles. While advancements in computational capabilities have fueled this evolution, the consistent avail- ability of high quality training data is less of a given. In this work, the authors aim to provide a bird’s eye view on topics pertaining to small data scenarios, that is scenarios in which a less than desirable quality and quantity of data is given for supervised learning. We provide an overview for a set of challenges, proposed solution and at the end tie it together by practical guidelines on which techniques are useful in specific real-world scenarios.

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