Search Results for author: Nadja Sauter

Found 2 papers, 2 papers with code

Classifying multilingual party manifestos: Domain transfer across country, time, and genre

1 code implementation • 31 Jul 2023 • Matthias Aßenmacher, Nadja Sauter, Christian Heumann

We explore the potential of domain transfer across geographical locations, languages, time, and genre in a large-scale database of political manifestos.

domain classification

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Multimodal Deep Learning

1 code implementation • 12 Jan 2023 • Cem Akkus, Luyang Chu, Vladana Djakovic, Steffen Jauch-Walser, Philipp Koch, Giacomo Loss, Christopher Marquardt, Marco Moldovan, Nadja Sauter, Maximilian Schneider, Rickmer Schulte, Karol Urbanczyk, Jann Goschenhofer, Christian Heumann, Rasmus Hvingelby, Daniel Schalk, Matthias Aßenmacher

This book is the result of a seminar in which we reviewed multimodal approaches and attempted to create a solid overview of the field, starting with the current state-of-the-art approaches in the two subfields of Deep Learning individually.

Multimodal Deep Learning Representation Learning

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