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Beyond accuracy: generalization properties of bio-plausible temporal
  credit assignment rules

Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules

2 June 2022
Yuhan Helena Liu
Arna Ghosh
Blake A. Richards
E. Shea-Brown
Guillaume Lajoie
ArXivPDFHTML

Papers citing "Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules"

9 / 9 papers shown
Title
Evolutionary algorithms as an alternative to backpropagation for
  supervised training of Biophysical Neural Networks and Neural ODEs
Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs
James Hazelden
Yuhan Helena Liu
Eli Shlizerman
E. Shea-Brown
44
2
0
17 Nov 2023
Brain-inspired learning in artificial neural networks: a review
Brain-inspired learning in artificial neural networks: a review
Samuel Schmidgall
Jascha Achterberg
Thomas Miconi
Louis Kirsch
Rojin Ziaei
S. P. Hajiseyedrazi
Jason Eshraghian
31
52
0
18 May 2023
Understanding Gradient Descent on Edge of Stability in Deep Learning
Understanding Gradient Descent on Edge of Stability in Deep Learning
Sanjeev Arora
Zhiyuan Li
A. Panigrahi
MLT
83
90
0
19 May 2022
Anticorrelated Noise Injection for Improved Generalization
Anticorrelated Noise Injection for Improved Generalization
Antonio Orvieto
Hans Kersting
F. Proske
Francis R. Bach
Aurelien Lucchi
64
44
0
06 Feb 2022
Training Feedback Spiking Neural Networks by Implicit Differentiation on
  the Equilibrium State
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
Yisen Wang
Zhouchen Lin
111
60
0
29 Sep 2021
Local plasticity rules can learn deep representations using
  self-supervised contrastive predictions
Local plasticity rules can learn deep representations using self-supervised contrastive predictions
Bernd Illing
Jean-Paul Ventura
G. Bellec
W. Gerstner
SSL
DRL
54
69
0
16 Oct 2020
The large learning rate phase of deep learning: the catapult mechanism
The large learning rate phase of deep learning: the catapult mechanism
Aitor Lewkowycz
Yasaman Bahri
Ethan Dyer
Jascha Narain Sohl-Dickstein
Guy Gur-Ari
ODL
159
234
0
04 Mar 2020
Long short-term memory and learning-to-learn in networks of spiking
  neurons
Long short-term memory and learning-to-learn in networks of spiking neurons
G. Bellec
Darjan Salaj
Anand Subramoney
Robert Legenstein
Wolfgang Maass
121
481
0
26 Mar 2018
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
308
2,890
0
15 Sep 2016
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