2021
The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods
ICLR 2021poster
A recent line of work showed that various forms of convolutional kernel methods can be competitive with standard supervised deep convolutional networks on datasets like CIFAR-10, obtaining accuracies in the range of 87-90% while being more amenable to theoretical analysis. In this work, we highlig…