NN training goes through two distinct phases: (1) reducing classification error through drift (2) optimally compressing mutual information of hidden layers through diffusion https://arxiv.org/abs/1703.00810 pic.twitter.com/He7dNY3NSv
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When I first saw this a few days ago I thought “peculiar —wonder if it’s true.” Looking at this graph, wondered what happened at 8-9k epochs (sudden dive).
Skimmed bits of paper, got increasingly suspicious that result is artifact of an artificial task. Went looking for the task… found this.pic.twitter.com/MmN7Lq6U3I
they mention later on that they also do the analysis for cases with no symmetries
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