Connectionists: Stephen Hanson in conversation with Geoff Hinton

[Gary Marcus]

Try your algorithm on datasets such as  this https://ai.facebook.com/blog/introducing-unidentified-video-objects-a-new-benchmark-for-open-world-object-segmentation/

If you produce strong empirical results, the community will take notice.

> On Feb 9, 2022, at 10:54 PM, Juyang Weng <juyang.weng at gmail.com> wrote:
> 
> 
> Dear Gary,
> 
> As my reply to Asim Roy indicated, the parts and whole problem that Geoff Hinton considered is ill-posed since it bypasses how a brain network segments the "whole" from 1000 parts in the cluttered scene.  Only 10 parts belong to the whole.
> 
> The relation problem has also been solved and mathematically proven if one understands emergent universal Turing machines using a Developmental Network (DN).   The solution to relation is a special case of the solution to the compositionality problem which is a special case of the emergent universal Turing machine.
> 
> I am not telling you "a son looks like his father because the father makes money to feed the son".   The solution is supported by biology and a mathematical proof.
> 
> Best regards,
> -John
> 
> Date: Mon, 7 Feb 2022 07:57:34 -0800
> From: Gary Marcus <gary.marcus at nyu.edu>
> To: Juyang Weng <juyang.weng at gmail.com>
> Cc: Post Connectionists <connectionists at mailman.srv.cs.cmu.edu>
> Subject: Re: Connectionists: Stephen Hanson in conversation with Geoff
>         Hinton
> Message-ID: <D0E77E54-78C0-4605-B40C-434E2B8F1E7C at nyu.edu>
> Content-Type: text/plain; charset="utf-8"
> 
> Dear John,
> 
> I agree with you that cluttered scenes are critical, but Geoff?s GLOM paper [https://www.cs.toronto.edu/~hinton/absps/glomfinal.pdf] might actually have some relevance. It may well be that we need to do a better job with parts and whole before we can fully address clutter, and Geoff is certainly taking that question seriously.
> 
> Geoff?s ?Stable islands of identical vectors? do sound suspiciously like symbols to me (in a good way!), but regardless, they seem to me to be a plausible candidate as a foundation for coping with clutter.
> 
> And not just cluttered scenes, but also relations between multiple objects in a scene, which is another example of the broader issue you raise, challenging for pure MLPs but critical for deeper AI.
> 
> Gary
> 
> -- 
> Juyang (John) Weng
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