In this seminar, you will learn about current methods in machine learning for training models with small datasets. With the emergence of deep learning, state-of-the-art machine learning models require increasingly large datasets. Acquiring the data needed to train these models, however, can be expense, especially in the context of multimodal behavior processing which often requires performing experiments with human subjects. We will read and analyze papers discussing methods for performing machine learing with small datasets. Further, you will get to know how to critically evaluate articles in the scientific literature. In each session, we will discuss a current paper that everyone has read in the week before. Credits can be obtained through weekly reading, and by preparing and moderating a discussion for one of the assigned research papers.
Rhythmus | Tag | Uhrzeit | Format / Ort | Zeitraum |
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Modul | Veranstaltung | Leistungen | |
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39-Inf-EGMI Ergänzungsmodul Informatik | vertiefendes Seminar 1 | unbenotete Prüfungsleistung
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Studieninformation |
vertiefendes Seminar 2 | unbenotete Prüfungsleistung
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Studieninformation | |
vertiefendes Seminar 3 | unbenotete Prüfungsleistung
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Studieninformation | |
vertiefendes Seminar 4 | unbenotete Prüfungsleistung
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Studieninformation |
Die verbindlichen Modulbeschreibungen enthalten weitere Informationen, auch zu den "Leistungen" und ihren Anforderungen. Sind mehrere "Leistungsformen" möglich, entscheiden die jeweiligen Lehrenden darüber.