CORDIS Project
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This project aims to enhance deep learning by developing meta-learning methods that create customized pipelines. It focuses on optimizing neural architectures, learning efficient training strategies, and reducing the need for large labeled datasets, ultimately improving accuracy and usability across various application…
Deep learning has revolutionized many fields, such as computer vision, speech recognition, natural language processing, and reinforcement learning.
This success is based on replacing domain-specific hand-crafted features with features that are learned for the particular task at hand.
The logical step to take deep learning to the next level is to also (meta-)learn other hand-crafted elements of the deep learning pipeline.
We therefore propose to develop met…
ALBERT-LUDWIGS-UNIVERSITAET FREIBURG
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