Paper Title: Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning Authors: Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le ...

Our foundational research projects are dedicated to advancing the understanding and interpretability of deep learning, driving progress in both theoretical insights and practical applications. Some of ...

Poggio says that the CRH and PAH offer a potential unifying theory for key deep learning phenomena such as neural collapse and the neural feature ansatz (NFA).