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Foundation Models in Deep Learning

?bersicht
Veranstaltungsart: Vorlesung + ?bung (Master)
Modulsignatur: INF-0093
Credits: 2 + 2 SWS, 5?LP
Turnus: Sommersemester?
Empfohlenes Semester:
ab 1. Semester
Prüfung: mündliche Prüfung, jedes Semester
Sprache: English

Inhalte

In this lecture, we will cover the most recent approaches and principles at the frontier of learning and applying of foundation models in language, vision (image generation, image segmentation, image understanding) as well as multimodal (=multimedia) data processing, including

  1. learning vision foundation models from natural language supervision, with applications to open-vocabulary image classification and retrieval, object detection, segmentation, and multimodal understanding;
  2. learning vision foundation models via masked image modeling, with its extensions to multimodal pre-training
  3. vision foundation model architecture design with transformer and beyond.
The lecture will be regularly updated to cover the latest developments in the field.

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?bungen

Es erscheint w?chentlich ein ?bungsblatt zu den behandelten Vorlesungsinhalten. Jedes ?bungsblatt wird in der Globalübung?der folgenden Woche besprochen. Es gibt keine Abgabe / Korrektur von ?bungsbl?ttern.

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Turnus

Die Vorlesung wird in jedem Sommersemester gelesen.

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