Wide neural networks are biased towards learning certain functions,
infl...
Over-parameterized residual networks (ResNets) are amongst the most
succ...
We study the properties of various over-parametrized convolutional neura...
Deep residual network architectures have been shown to achieve superior
...
Recent theoretical work has shown that massively overparameterized neura...
Recent works have partly attributed the generalization ability of
over-p...
Global methods to Structure from Motion have gained popularity in recent...
Essential matrix averaging, i.e., the task of recovering camera location...
This paper addresses the problem of recovering projective camera matrice...