Hey, can Mastodon and Sigmoid help me find papers/insights?
I am looking for papers that examine kernels in CNNs, specifically the differences between lower and higher layer kernels, better if of the same dimensions.
Are 3x3 kernels that many, that significantly different? Are they doing the same things, are they processing textures to shape, from layer to layer?

#cnn #deepnetworks #kernel #convolution

Perception people, i'd be very interested to learn about distributions of time constants in #PrimarySensoryCortices. There's a particular choice (that we think we see in the #hippocampus) that lets #DeepNetworks #generalize in what seems like a pretty adaptive way. Distribution is #WeberFechnerLaw:
https://proceedings.mlr.press/v162/jacques22a.html