DEEPK 2024 - International Workshop on Deep Learning and Kernel Machines

Beschreibung

Major progress and impact has been achieved through deep learning architectures with many exciting applications such as by generative models and transformers. At the same time it triggers new questions on the fundamental possibilities and limitations of the models, with respect to representations, scalability, learning and generalization aspects. Through kernel-based methods often a deeper understanding and solid foundations have been obtained, complementary to the powerful and flexible deep learning architectures. Recent examples are understanding generalization of over-parameterized models in the double descent phenomenon and conceiving attention mechanisms in transformers as kernel machines.

Zeitraum	7 März 2024 → 8 März 2024
Veranstaltungstyp	Konferenz
Ort	Leuven, BelgienAuf Karte anzeigen
Bekanntheitsgrad	International