Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs

Théo Lacombe, Yuichi Ike, Mathieu Carriere +3

Although neural networks are capable of reaching astonishing performances on a wide variety of contexts, properly training networks on complicated tasks requires expertise and can…