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Synthetic Data Outside Computer Vision

In: Synthetic Data for Deep Learning

Author

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  • Sergey I. Nikolenko

    (Synthesis AI
    Steklov Institute of Mathematics)

Abstract

While computer vision remains the main focus of synthetic data applications, other fields also begin to use synthetic datasets, with some directions entirely dependent on synthetic data. In this chapter, we survey some of these fields. Specifically, Section 8.1 discusses how structured synthetic data is used for fraud and intrusion detection and other applications in the form of network and/or system logs; in Section 8.2, we consider neural programming; Section 8.3 discusses synthetic data generation and use in bioinformatics, and Section 8.4 reviews the (admittedly limited) applications of synthetic data in natural language processing.

Suggested Citation

  • Sergey I. Nikolenko, 2021. "Synthetic Data Outside Computer Vision," Springer Optimization and Its Applications, in: Synthetic Data for Deep Learning, chapter 0, pages 217-226, Springer.
    • Handle: RePEc:spr:spochp:978-3-030-75178-4_8
    DOI: 10.1007/978-3-030-75178-4_8
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    Cited by:

    1. Alvaro Figueira & Bruno Vaz, 2022. "Survey on Synthetic Data Generation, Evaluation Methods and GANs," Mathematics, MDPI, vol. 10(15), pages 1-41, August.

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