Deep Learning, Artificial Intelligence, Image Classification, Vision Transformer, Resnet.
10] addresses these challenges, enabling quantitative comparisons of representations within and across networks. Specifically, CKA takes as inputs X and Y which are representations (activation matrices), of two layers, with m×p1 and m×p2 neurons respectively, evaluated on the same m examples.