Can I use the output of a network to choose the kernel size for use later in the network? Would this be differentiable, i.e., will a network be able to learn the optimal pooling size passed into an avg pooling layer? Could someone provide an example of this ?
My data has special properties in that the amount of binning is very crucial as small bins would reduce performance and larger bins could obscure the data (the size of which varies).