Výsledky vyhledávání - "de Jong, Edwin D."

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Towards Large-Scale Training of Pathology Foundation Models

Autor: ai, kaiko., Aben, Nanne, de Jong, Edwin D., Gatopoulos, Ioannis, Känzig, Nicolas, Karasikov, Mikhail, Lagré, Axel, Moser, Roman, van Doorn, Joost, Tang, Fei

Driven by the recent advances in deep learning methods and, in particular, by the development of modern self-supervised learning algorithms, increased interest and efforts have been devoted to build foundation models (FMs) for medical images. In this

Externí odkaz: http://arxiv.org/abs/2404.15217

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GANGs: Generative Adversarial Network Games

Autor: Oliehoek, Frans A., Savani, Rahul, Gallego-Posada, Jose, van der Pol, Elise, de Jong, Edwin D., Gross, Roderich

Generative Adversarial Networks (GAN) have become one of the most successful frameworks for unsupervised generative modeling. As GANs are difficult to train much research has focused on this. However, very little of this research has directly exploit

Externí odkaz: http://arxiv.org/abs/1712.00679

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Incremental Sequence Learning

Autor: de Jong, Edwin D.

Deep learning research over the past years has shown that by increasing the scope or difficulty of the learning problem over time, increasingly complex learning problems can be addressed. We study incremental learning in the context of sequence learn

Externí odkaz: http://arxiv.org/abs/1611.03068

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