The Impact of Geometric Complexity on Neural Collapse in Transfer Learning

Many of the recent remarkable advances in computer vision and language models can be attributed to the success of transfer learning via the pre-training of large foundation models. However, a theoretical framework which explains this empirical success is incomplete and remains an active area of rese...

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Veröffentlicht in:	arXiv.org 2024-12
Hauptverfasser:	Munn, Michael, Dherin, Benoit, Gonzalvo, Javier
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer vision Learning Task complexity
Online-Zugang:	Volltext
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