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Align, then memorise: the dynamics of learning with feedback alignment

Align, then memorise: the dynamics of learning with feedback alignment

24 November 2020
Maria Refinetti
Stéphane dÁscoli
Ruben Ohana
Sebastian Goldt
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Papers citing "Align, then memorise: the dynamics of learning with feedback alignment"

6 / 6 papers shown
Title
Improving equilibrium propagation without weight symmetry through
  Jacobian homeostasis
Improving equilibrium propagation without weight symmetry through Jacobian homeostasis
Axel Laborieux
Friedemann Zenke
10
6
0
05 Sep 2023
Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic
  Neurons
Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons
R. Høier
D. Staudt
Christopher Zach
26
11
0
02 Feb 2023
Optimal learning rate schedules in high-dimensional non-convex
  optimization problems
Optimal learning rate schedules in high-dimensional non-convex optimization problems
Stéphane dÁscoli
Maria Refinetti
Giulio Biroli
16
7
0
09 Feb 2022
Error-driven Input Modulation: Solving the Credit Assignment Problem
  without a Backward Pass
Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass
Giorgia Dellaferrera
Gabriel Kreiman
19
53
0
27 Jan 2022
Silicon Photonic Architecture for Training Deep Neural Networks with
  Direct Feedback Alignment
Silicon Photonic Architecture for Training Deep Neural Networks with Direct Feedback Alignment
M. Filipovich
Zhimu Guo
M. Al-Qadasi
Bicky A. Marquez
Hugh Morison
V. Sorger
Paul R. Prucnal
S. Shekhar
B. Shastri
20
52
0
12 Nov 2021
How to Train Your Wide Neural Network Without Backprop: An Input-Weight
  Alignment Perspective
How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective
Akhilan Boopathy
Ila Fiete
16
9
0
15 Jun 2021
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