[FRIAM] Layers
Stephen Guerin
stephen.guerin at simtable.com
Wed Mar 30 17:29:40 EDT 2022
Looks cool, Frank.
Surfing around:
a Deep Equilibrium Model paper by Shaojie Bai:
https://proceedings.neurips.cc/paper/2019/file/01386bd6d8e091c2ab4c7c7de644d37b-Paper.pdf
And one of his 12-minute talks:
https://crossminds.ai/video/oral-at-neurips-2020-multiscale-deep-equilibrium-models-5fb82261890833803bc7e7f4/
_______________________________________________________________________
Stephen.Guerin at Simtable.com <stephen.guerin at simtable.com>
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On Wed, Mar 30, 2022 at 2:31 PM Frank Wimberly <wimberly3 at gmail.com> wrote:
> A current CMU dissertation defense:
>
> PhD Candidate: Shaojie Bai
>
> *Title: **Equilibrium Approaches to Modern Deep Learning*
>
> Abstract:
> Deep learning (DL) has become one of the most successful and
> widely-adopted methods in modern artificial intelligence. Accompanying
> these successes are also increasingly complex and costly architectural
> designs, at the foundation of which has been a core concept: *layers*.
> This thesis challenges this fundamental role of layers, and provides an
> in-depth introduction to a new, layer-*less* paradigm of deep learning
> that computes the output as the fixed point of a dynamical system: deep
> equilibrium (DEQ) models.
> First, we introduce the general formulation of deep equilibrium models. We
> discuss how these models express “infinite-level” neural networks, decouple
> forward and backward passes, yet with the cost and design complexity of one
> traditional layer— even in some of the most competitive settings (e.g.,
> language mode
>
>
> ---
> Frank C. Wimberly
> 140 Calle Ojo Feliz,
> Santa Fe, NM 87505
>
> 505 670-9918
> Santa Fe, NM
>
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