2022
Feature Learning and Signal Propagation in Deep Neural Networks
ICML 2022spotlight
Recent work by Baratin et al. (2021) sheds light on an intriguing pattern that occurs during the training of deep neural networks: some layers align much more with data compared to other layers (where the alignment is defined as the normalize euclidean product of the tangent features matrix and the…