NYU Explores the Principles for Modelling Neural Collapse and Its Role in Generalization

In the new paper Neural Collapse: A Review on Modelling Principles and Generalization, researchers from New York University analyze Neural Collapse (NC) and present a thought model to explain the effects of variance collapse, aiming at a better understanding of the generalization capabilities of neural networks.

ai artificial intelligence deep-neural-networks machine learning machine learning & data science ml modelling neural collapse nyu research role technology transfer learning