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Yusuf Brima, Ulf Krumnack, Simone Pika and Gunther Heidemann
Self-supervised learning (SSL) has emerged as a promising paradigm for learning flexible speech representations from unlabeled data. By designing pretext tasks that exploit statistical regularities, SSL models can capture useful representations that are ...
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Maria Stoettrup Schioenning Larsen, Astrid Heidemann Lassen and Casper Schou
Despite the promising potential of Industry 4.0, the transition of the manufacturing industry is still very slow-paced. In this article, we argue that one reason for this development is the fact that existing foundational process models of manufacturing ...
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Leila Malihi and Gunther Heidemann
Efficient model deployment is a key focus in deep learning. This has led to the exploration of methods such as knowledge distillation and network pruning to compress models and increase their performance. In this study, we investigate the potential syner...
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Heidemann, G.
Pág. 817 - 830
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Heidemann, Dirk
Pág. 153 - 155
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Page Jr, T W; Guy, R G; Heidemann, J S; Ratner, D H; Reiher, P L; Goel
Pág. 155 - 180
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Heidemann, Dirk; Wegmann, Helmut
Pág. 239 - 264
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