Nicolas Lupp

When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics

"Although a plethora of architectural variants for deep classification has been introduced over time, recent works have found empirical evidence towards similarities in their training process. It has been hypothesized that neural networks converge not only to similar representations, but also exhibi…