ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.05391
  4. Cited By
Deep Learning without Weight Transport

Deep Learning without Weight Transport

10 April 2019
Mohamed Akrout
Collin Wilson
Peter C. Humphreys
Timothy Lillicrap
D. Tweed
    CVBM
ArXivPDFHTML

Papers citing "Deep Learning without Weight Transport"

30 / 80 papers shown
Title
Towards Biologically Plausible Convolutional Networks
Towards Biologically Plausible Convolutional Networks
Roman Pogodin
Yash Mehta
Timothy Lillicrap
P. Latham
26
22
0
22 Jun 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
39
9
0
15 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
31
35
0
15 Jun 2021
The Backpropagation Algorithm Implemented on Spiking Neuromorphic
  Hardware
The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware
Alpha Renner
F. Sheldon
Anatoly Zlotnik
L. Tao
A. Sornborger
21
36
0
13 Jun 2021
Convergence and Alignment of Gradient Descent with Random
  Backpropagation Weights
Convergence and Alignment of Gradient Descent with Random Backpropagation Weights
Ganlin Song
Ruitu Xu
John D. Lafferty
ODL
54
21
0
10 Jun 2021
Credit Assignment Through Broadcasting a Global Error Vector
Credit Assignment Through Broadcasting a Global Error Vector
David G. Clark
L. F. Abbott
SueYeon Chung
25
23
0
08 Jun 2021
Neko: a Library for Exploring Neuromorphic Learning Rules
Neko: a Library for Exploring Neuromorphic Learning Rules
Zixuan Zhao
Nathan Wycoff
N. Getty
Rick L. Stevens
Fangfang Xia
12
2
0
01 May 2021
Tightening the Biological Constraints on Gradient-Based Predictive
  Coding
Tightening the Biological Constraints on Gradient-Based Predictive Coding
Nick Alonso
Emre Neftci
27
7
0
30 Apr 2021
Meta-Learning Bidirectional Update Rules
Meta-Learning Bidirectional Update Rules
Mark Sandler
Max Vladymyrov
A. Zhmoginov
Nolan Miller
Andrew Jackson
T. Madams
Blaise Agüera y Arcas
27
15
0
10 Apr 2021
Brain-Inspired Learning on Neuromorphic Substrates
Brain-Inspired Learning on Neuromorphic Substrates
Friedemann Zenke
Emre Neftci
38
87
0
22 Oct 2020
Identifying Learning Rules From Neural Network Observables
Identifying Learning Rules From Neural Network Observables
Aran Nayebi
S. Srivastava
Surya Ganguli
Daniel L. K. Yamins
8
21
0
22 Oct 2020
Differentially Private Deep Learning with Direct Feedback Alignment
Differentially Private Deep Learning with Direct Feedback Alignment
Jaewoo Lee
Daniel Kifer
FedML
9
9
0
08 Oct 2020
Relaxing the Constraints on Predictive Coding Models
Relaxing the Constraints on Predictive Coding Models
Beren Millidge
Alexander Tschantz
A. Seth
Christopher L. Buckley
23
23
0
02 Oct 2020
Event-Driven Visual-Tactile Sensing and Learning for Robots
Event-Driven Visual-Tactile Sensing and Learning for Robots
Tasbolat Taunyazov
Weicong Sng
H. See
Brian Z. H. Lim
Jethro Kuan
Abdul Fatir Ansari
Benjamin C. K. Tee
Harold Soh
22
92
0
15 Sep 2020
Activation Relaxation: A Local Dynamical Approximation to
  Backpropagation in the Brain
Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain
Beren Millidge
Alexander Tschantz
A. Seth
Christopher L. Buckley
ODL
25
16
0
11 Sep 2020
Biological credit assignment through dynamic inversion of feedforward
  networks
Biological credit assignment through dynamic inversion of feedforward networks
William F. Podlaski
C. Machens
13
19
0
10 Jul 2020
A Theoretical Framework for Target Propagation
A Theoretical Framework for Target Propagation
Alexander Meulemans
Francesco S. Carzaniga
Johan A. K. Suykens
João Sacramento
Benjamin Grewe
AAML
27
77
0
25 Jun 2020
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
36
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
34
32
0
16 Jun 2020
Kernelized information bottleneck leads to biologically plausible
  3-factor Hebbian learning in deep networks
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks
Roman Pogodin
P. Latham
24
34
0
12 Jun 2020
GAIT-prop: A biologically plausible learning rule derived from
  backpropagation of error
GAIT-prop: A biologically plausible learning rule derived from backpropagation of error
Nasir Ahmad
Marcel van Gerven
L. Ambrogioni
AAML
15
25
0
11 Jun 2020
Predictive Coding Approximates Backprop along Arbitrary Computation
  Graphs
Predictive Coding Approximates Backprop along Arbitrary Computation Graphs
Beren Millidge
Alexander Tschantz
Christopher L. Buckley
30
118
0
07 Jun 2020
Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing
  its Gradient Estimator Bias
Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias
Axel Laborieux
M. Ernoult
B. Scellier
Yoshua Bengio
Julie Grollier
D. Querlioz
8
69
0
06 Jun 2020
Overcoming the Weight Transport Problem via Spike-Timing-Dependent
  Weight Inference
Overcoming the Weight Transport Problem via Spike-Timing-Dependent Weight Inference
Nasir Ahmad
L. Ambrogioni
Marcel van Gerven
13
2
0
09 Mar 2020
Two Routes to Scalable Credit Assignment without Weight Symmetry
Two Routes to Scalable Credit Assignment without Weight Symmetry
D. Kunin
Aran Nayebi
Javier Sagastuy-Breña
Surya Ganguli
Jonathan M. Bloom
Daniel L. K. Yamins
31
31
0
28 Feb 2020
Spike-based causal inference for weight alignment
Spike-based causal inference for weight alignment
Jordan Guerguiev
Konrad Paul Kording
Blake A. Richards
CML
22
23
0
03 Oct 2019
On the Adversarial Robustness of Neural Networks without Weight
  Transport
On the Adversarial Robustness of Neural Networks without Weight Transport
Mohamed Akrout
OOD
AAML
10
9
0
09 Aug 2019
Principled Training of Neural Networks with Direct Feedback Alignment
Principled Training of Neural Networks with Direct Feedback Alignment
Julien Launay
Iacopo Poli
Florent Krzakala
19
35
0
11 Jun 2019
Learning to solve the credit assignment problem
Learning to solve the credit assignment problem
B. Lansdell
P. Prakash
Konrad Paul Kording
11
50
0
03 Jun 2019
Loss Landscapes of Regularized Linear Autoencoders
Loss Landscapes of Regularized Linear Autoencoders
D. Kunin
Jonathan M. Bloom
A. Goeva
C. Seed
28
91
0
23 Jan 2019
Previous
12