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Two Routes to Scalable Credit Assignment without Weight Symmetry

Two Routes to Scalable Credit Assignment without Weight Symmetry

28 February 2020
D. Kunin
Aran Nayebi
Javier Sagastuy-Breña
Surya Ganguli
Jonathan M. Bloom
Daniel L. K. Yamins
ArXivPDFHTML

Papers citing "Two Routes to Scalable Credit Assignment without Weight Symmetry"

12 / 12 papers shown
Title
Oja's plasticity rule overcomes several challenges of training neural networks under biological constraints
Oja's plasticity rule overcomes several challenges of training neural networks under biological constraints
Navid Shervani-Tabar
Marzieh Alireza Mirhoseini
Robert Rosenbaum
AAML
AI4CE
39
0
0
15 Aug 2024
Brain-like Flexible Visual Inference by Harnessing Feedback-Feedforward
  Alignment
Brain-like Flexible Visual Inference by Harnessing Feedback-Feedforward Alignment
Tahereh Toosi
Elias B. Issa
19
2
0
31 Oct 2023
Meta-Learning Biologically Plausible Plasticity Rules with Random
  Feedback Pathways
Meta-Learning Biologically Plausible Plasticity Rules with Random Feedback Pathways
Navid Shervani-Tabar
Robert Rosenbaum
AI4CE
42
13
0
28 Oct 2022
Towards Scaling Difference Target Propagation by Learning Backprop
  Targets
Towards Scaling Difference Target Propagation by Learning Backprop Targets
M. Ernoult
Fabrice Normandin
A. Moudgil
Sean Spinney
Eugene Belilovsky
Irina Rish
Blake A. Richards
Yoshua Bengio
19
28
0
31 Jan 2022
Target Propagation via Regularized Inversion
Target Propagation via Regularized Inversion
Vincent Roulet
Zaïd Harchaoui
BDL
AAML
19
4
0
02 Dec 2021
Latent Equilibrium: A unified learning theory for arbitrarily fast
  computation with arbitrarily slow neurons
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons
Paul Haider
B. Ellenberger
Laura Kriener
Jakob Jordan
Walter Senn
Mihai A. Petrovici
16
24
0
27 Oct 2021
On the relationship between predictive coding and backpropagation
On the relationship between predictive coding and backpropagation
Robert Rosenbaum
27
28
0
20 Jun 2021
Credit Assignment in Neural Networks through Deep Feedback Control
Credit Assignment in Neural Networks through Deep Feedback Control
Alexander Meulemans
Matilde Tristany Farinha
Javier García Ordónez
Pau Vilimelis Aceituno
João Sacramento
Benjamin Grewe
28
35
0
15 Jun 2021
Tightening the Biological Constraints on Gradient-Based Predictive
  Coding
Tightening the Biological Constraints on Gradient-Based Predictive Coding
Nick Alonso
Emre Neftci
24
7
0
30 Apr 2021
Training Deep Architectures Without End-to-End Backpropagation: A Survey
  on the Provably Optimal Methods
Training Deep Architectures Without End-to-End Backpropagation: A Survey on the Provably Optimal Methods
Shiyu Duan
José C. Príncipe
MQ
25
3
0
09 Jan 2021
Direct Feedback Alignment Scales to Modern Deep Learning Tasks and
  Architectures
Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures
Julien Launay
Iacopo Poli
Franccois Boniface
Florent Krzakala
33
62
0
23 Jun 2020
Learning to Learn with Feedback and Local Plasticity
Learning to Learn with Feedback and Local Plasticity
Jack W Lindsey
Ashok Litwin-Kumar
CLL
31
31
0
16 Jun 2020
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