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Yeah, I'd like to know the answer for that too, since the paper says global losses are computed using the 'entire training data', which means it should have access to activations of entire training set during backprop. This seems impossible given the limited amount of memory in GPU.
or does 'entire training set' mean the current mini-batch ?. I'm not sure what 'N' is in the paper.
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