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2003.01513
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Two Routes to Scalable Credit Assignment without Weight Symmetry
International Conference on Machine Learning (ICML), 2020
28 February 2020
D. Kunin
Aran Nayebi
Javier Sagastuy-Breña
Surya Ganguli
Jonathan M. Bloom
Daniel L. K. Yamins
Re-assign community
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Papers citing
"Two Routes to Scalable Credit Assignment without Weight Symmetry"
37 / 37 papers shown
Oja's plasticity rule overcomes several challenges of training neural networks under biological constraints
Navid Shervani-Tabar
Marzieh Alireza Mirhoseini
Robert Rosenbaum
AAML
AI4CE
414
1
0
15 Aug 2024
Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis
Neural Information Processing Systems (NeurIPS), 2023
Mitchell Ostrow
Adam J. Eisen
L. Kozachkov
Ila Fiete
461
50
0
16 Jun 2023
Meta-Learning Biologically Plausible Plasticity Rules with Random Feedback Pathways
Nature Communications (Nat Commun), 2022
Navid Shervani-Tabar
Robert Rosenbaum
AI4CE
522
26
0
28 Oct 2022
Towards Scaling Difference Target Propagation by Learning Backprop Targets
International Conference on Machine Learning (ICML), 2022
M. Ernoult
Fabrice Normandin
A. Moudgil
Sean Spinney
Eugene Belilovsky
Irina Rish
Blake A. Richards
Yoshua Bengio
292
47
0
31 Jan 2022
Target Propagation via Regularized Inversion
Vincent Roulet
Zaïd Harchaoui
BDL
AAML
306
5
0
02 Dec 2021
How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization
Shivam Garg
Santosh Vempala
405
3
0
17 Nov 2021
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
246
31
0
27 Oct 2021
Benchmarking the Accuracy and Robustness of Feedback Alignment Algorithms
Albert Jiménez Sanfiz
Mohamed Akrout
OOD
AAML
302
11
0
30 Aug 2021
On the relationship between predictive coding and backpropagation
PLoS ONE (PLOS ONE), 2021
Robert Rosenbaum
571
38
0
20 Jun 2021
Credit Assignment in Neural Networks through Deep Feedback Control
Neural Information Processing Systems (NeurIPS), 2021
Alexander Meulemans
Matilde Tristany Farinha
Javier García Ordónez
Pau Vilimelis Aceituno
João Sacramento
Benjamin Grewe
408
48
0
15 Jun 2021
Credit Assignment Through Broadcasting a Global Error Vector
Neural Information Processing Systems (NeurIPS), 2021
David G. Clark
L. F. Abbott
SueYeon Chung
348
27
0
08 Jun 2021
Tightening the Biological Constraints on Gradient-Based Predictive Coding
International Conference on Systems (ICONS), 2021
Nick Alonso
Emre Neftci
215
10
0
30 Apr 2021
Training Deep Architectures Without End-to-End Backpropagation: A Survey on the Provably Optimal Methods
IEEE Computational Intelligence Magazine (IEEE CIM), 2021
Shiyu Duan
José C. Príncipe
MQ
503
8
0
09 Jan 2021
Identifying Learning Rules From Neural Network Observables
Aran Nayebi
S. Srivastava
Surya Ganguli
Daniel L. K. Yamins
350
24
0
22 Oct 2020
Local plasticity rules can learn deep representations using self-supervised contrastive predictions
Neural Information Processing Systems (NeurIPS), 2020
Bernd Illing
Jean-Paul Ventura
G. Bellec
W. Gerstner
SSL
DRL
603
93
0
16 Oct 2020
A Theoretical Framework for Target Propagation
Alexander Meulemans
Francesco S. Carzaniga
Johan A. K. Suykens
João Sacramento
Benjamin Grewe
AAML
425
95
0
25 Jun 2020
Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures
Neural Information Processing Systems (NeurIPS), 2020
Julien Launay
Iacopo Poli
Franccois Boniface
Florent Krzakala
375
78
0
23 Jun 2020
Learning to Learn with Feedback and Local Plasticity
Jack W Lindsey
Ashok Litwin-Kumar
CLL
217
36
0
16 Jun 2020
Overcoming the Weight Transport Problem via Spike-Timing-Dependent Weight Inference
Neurons, Behavior, Data analysis, and Theory (NBDT), 2020
Nasir Ahmad
Luca Ambrogioni
Marcel van Gerven
270
3
0
09 Mar 2020
Spike-based causal inference for weight alignment
International Conference on Learning Representations (ICLR), 2019
Jordan Guerguiev
Konrad Paul Kording
Blake A. Richards
CML
309
26
0
03 Oct 2019
Deep Learning without Weight Transport
Mohamed Akrout
Collin Wilson
Peter C. Humphreys
Timothy Lillicrap
D. Tweed
CVBM
518
156
0
10 Apr 2019
TF-Replicator: Distributed Machine Learning for Researchers
P. Buchlovsky
David Budden
Dominik Grewe
Chris Jones
John Aslanides
...
Aidan Clark
Sergio Gomez Colmenarejo
Aedan Pope
Fabio Viola
Dan Belov
GNN
OffRL
AI4CE
200
20
0
01 Feb 2019
Loss Landscapes of Regularized Linear Autoencoders
D. Kunin
Jonathan M. Bloom
A. Goeva
C. Seed
422
100
0
23 Jan 2019
Feedback alignment in deep convolutional networks
Theodore H. Moskovitz
Ashok Litwin-Kumar
L. F. Abbott
201
66
0
12 Dec 2018
Biologically-plausible learning algorithms can scale to large datasets
International Conference on Learning Representations (ICLR), 2018
Y. Chitour
Honglin Chen
Zhenyu Liao
T. Poggio
297
84
0
08 Nov 2018
Dendritic cortical microcircuits approximate the backpropagation algorithm
João Sacramento
Rui Ponte Costa
Yoshua Bengio
Walter Senn
366
351
0
26 Oct 2018
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures
Sergey Bartunov
Adam Santoro
Blake A. Richards
Luke Marris
Geoffrey E. Hinton
Timothy Lillicrap
393
264
0
12 Jul 2018
Direct Feedback Alignment Provides Learning in Deep Neural Networks
Arild Nøkland
ODL
677
531
0
06 Sep 2016
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
973
12,209
0
21 Jul 2016
Equilibrium Propagation: Bridging the Gap Between Energy-Based Models and Backpropagation
B. Scellier
Yoshua Bengio
483
610
0
16 Feb 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
4.2K
224,064
0
10 Dec 2015
How Important is Weight Symmetry in Backpropagation?
Q. Liao
Joel Z Leibo
T. Poggio
419
190
0
17 Oct 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
1.7K
46,308
0
11 Feb 2015
Difference Target Propagation
Dong-Hyun Lee
Saizheng Zhang
Asja Fischer
Yoshua Bengio
AAML
732
389
0
23 Dec 2014
Adam: A Method for Stochastic Optimization
International Conference on Learning Representations (ICLR), 2014
Diederik P. Kingma
Jimmy Ba
ODL
5.0K
164,280
0
22 Dec 2014
How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation
Yoshua Bengio
423
204
0
29 Jul 2014
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
International Conference on Learning Representations (ICLR), 2013
Andrew M. Saxe
James L. McClelland
Surya Ganguli
ODL
1.2K
2,031
0
20 Dec 2013
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