Branch Specialization

When a neural network layer is divided into multiple branches, neurons self-organize into coherent groupings.

12 mentions: @csvoss@distillpub@StartupYou@patrickmineault@F5WebStudio@AKatossky
Date: 2021/04/06 16:49

Referring Tweets

@csvoss Do neural networks have any emergent structures that are larger-scale than circuits? In our new Circuits article, we investigate the tendency of neural network branches to *specialize* – sorting closely-related features together across distinct branches. t.co/lcVBeShwow
@patrickmineault Different branches of CNNs specialize for different features; the latest deep dive into CNN receptive fields on distill t.co/Zs5c33ZxFX
@F5WebStudio This article describes branch specialization, one of three larger “structural phenomena” we’ve been able observe in neural networks. t.co/CLXKlwgVza
@AKatossky There seems to be evidence of "natural" structures forming in artificial neural networks, that people diversely call "branches" or "modules" : highly connected units very loosely connected to the rest of the network, and specialised into specific tasks: t.co/b5m0pd3c73
@StartupYou Anatomy of neural networks t.co/UVtcX9OK2t
@distillpub Branch Specialization — A new Distill article by @csvoss, @gabeeegoooh, @nickcammarata, @mpetrov, @ludwigschubert, and @ch402. This is the eighth article in the Circuits thread. t.co/GJYvF179Km

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