[HN Gopher] Predictive Coding Approximates Backprop Along Arbitr...
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Predictive Coding Approximates Backprop Along Arbitrary Computation
Graphs (2020)
Author : DanielBMarkham
Score : 60 points
Date : 2021-05-02 14:06 UTC (8 hours ago)
(HTM) web link (arxiv.org)
(TXT) w3m dump (arxiv.org)
| yewenjie wrote:
| AstralCodexTen (formerly SlateStarCodex) has discussed this here
| - https://astralcodexten.substack.com/p/link-unifying-predicti...
|
| He mostly points to this post in LessWrong -
| https://www.lesswrong.com/posts/JZZENevaLzLLeC3zn/predictive...
| coolness wrote:
| Needs [2020] in the title. Interesting work nevertheless.
| [deleted]
| amelius wrote:
| If backprop is not needed, would this finding make automatic-
| differentiation functionality obsolete in DL frameworks, allowing
| these frameworks to become much simpler? Or is there still some
| constant factor that makes backprop favorable?
| lumost wrote:
| Reading the openreview link, the current understanding is that
| this approach is dramatically more computationally intensive
| than standard backprop - limiting its utility.
| l33tman wrote:
| This (and its follow up papers) have already been discussed
| multiple times here. Don't have the links handy though..
| pishpash wrote:
| Also, most recent state of progress: Predictive Coding Can Do
| Exact Backpropagation on Any Neural Network (2021)
|
| https://arxiv.org/abs/2103.04689
| obstbraende wrote:
| here's a link with reviewer comments
| https://openreview.net/forum?id=PdauS7wZBfC (praise to
| openreview!)
| pishpash wrote:
| The decision reasoning is super helpful to put things in
| context. The arbitrary binary decision to "accept" vs "reject"
| especially for the snooty "high bar for acceptance at ICLR" is
| laughable in a world of free information access.
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