CORDIS Project
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This project aims to enhance multimodal learning by integrating various data types, such as images and text, to uncover semantic structures and relationships. By employing graph-based representations and self-supervised learning, it seeks to improve data efficiency and fairness in machine learning applications without…
Multimodal learning focuses on training models with data in more than one modality, such as videos capturing visual and audio information or documents containing image and text.
Current approaches use such data to train large-scale deep learning models without human supervision by sampling pair-wise data e.g., an image-text pair from a website and train the network e.g. to identify matching vs. not matching pairs to learn better representations.We argue that multimodal learning can do more: by c…
EBERHARD KARLS UNIVERSITAET TUEBINGEN
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RHEINISCHE FRIEDRICH-WILHELMS-UNIVERSITAT BONN
Germany, Bonn
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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