This is a bit of a riff on hypernetworks and Multiple Object Recognition with Visual Attention. Just testing the information efficiency of a model which queries for sparse samples of processed information rather than taking everything in a large processing stack.
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A transformer which selects conv filter stacks to sample for digit classification
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