Submitted by shitboots t3_zdkpgb in MachineLearning
IDe- t1_iz6z4y3 wrote
Reply to comment by bohreffect in [R] The Forward-Forward Algorithm: Some Preliminary Investigations [Geoffrey Hinton] by shitboots
The issue is that requiring a model to be differentiable puts far too many limitations on the types of models you can formulate. Much of the research in the last few decades has focused on how to deal with issues caused purely because of the artificial constraint of differentiability. It's purely "local optimization" in the space of potential models, when what we really should be doing is "basin-hopping".
bohreffect t1_iz74sa2 wrote
But to imply backprop is getting old neglects all of the real world applications that haven't been pushed yet.
I understand there are problems where differentiability is an intractable assumption but saying "oh old thing how gauche" isn't particularly constructive.
IDe- t1_iz77rsw wrote
Ah, I didn't intend to say that it's old or useless, just that I think it receives disproportionate research focus/effort.
bohreffect t1_iz7eg8v wrote
Fair enough
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