[R] Paper comparing cnn, locally connected, and densely connected models

A while ago I read a paper that does a comparison between a convolutional model, a locally connected one (same as cnn but without parameter sharing, so each image location has a different kernel), and a densely connected model. Specifically, they make each of these models have the same number of activations, where most comparisons keep parameters constant. This was a cool paper because it places each model on an even playing field in terms of what it can express …

cnn comparison convolutional image kernel location machinelearning paper while