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Conducting Credit Assignment by Aligning Local Representations

Conducting Credit Assignment by Aligning Local Representations

5 March 2018
Alexander Ororbia
A. Mali
Daniel Kifer
C. Lee Giles
    ODL
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Papers citing "Conducting Credit Assignment by Aligning Local Representations"

12 / 12 papers shown
Title
Forward Learning of Graph Neural Networks
Forward Learning of Graph Neural Networks
Namyong Park
Xing Wang
Antoine Simoulin
Shuai Yang
Grey Yang
Ryan Rossi
Puja Trivedi
Nesreen K. Ahmed
GNN
47
1
0
16 Mar 2024
Feature Alignment as a Generative Process
Feature Alignment as a Generative Process
T. S. Farias
Jonas Maziero
DiffM
BDL
28
1
0
23 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
44
9
0
15 Jun 2021
Contrastive Similarity Matching for Supervised Learning
Contrastive Similarity Matching for Supervised Learning
Shanshan Qin
N. Mudur
Cengiz Pehlevan
SSL
DRL
22
1
0
24 Feb 2020
Large-Scale Gradient-Free Deep Learning with Recursive Local
  Representation Alignment
Large-Scale Gradient-Free Deep Learning with Recursive Local Representation Alignment
Alexander Ororbia
A. Mali
Daniel Kifer
C. Lee Giles
23
2
0
10 Feb 2020
Ghost Units Yield Biologically Plausible Backprop in Deep Neural
  Networks
Ghost Units Yield Biologically Plausible Backprop in Deep Neural Networks
Thomas Mesnard
Gaetan Vignoud
João Sacramento
Walter Senn
Yoshua Bengio
27
7
0
15 Nov 2019
Spiking Neural Predictive Coding for Continual Learning from Data
  Streams
Spiking Neural Predictive Coding for Continual Learning from Data Streams
Alexander Ororbia
23
25
0
23 Aug 2019
Associated Learning: Decomposing End-to-end Backpropagation based on
  Auto-encoders and Target Propagation
Associated Learning: Decomposing End-to-end Backpropagation based on Auto-encoders and Target Propagation
Yu-Wei Kao
Hung-Hsuan Chen
BDL
20
5
0
13 Jun 2019
Putting An End to End-to-End: Gradient-Isolated Learning of
  Representations
Putting An End to End-to-End: Gradient-Isolated Learning of Representations
Sindy Löwe
Peter O'Connor
Bastiaan S. Veeling
SSL
11
143
0
28 May 2019
Decoupled Greedy Learning of CNNs
Decoupled Greedy Learning of CNNs
Eugene Belilovsky
Michael Eickenberg
Edouard Oyallon
11
115
0
23 Jan 2019
Assessing the Scalability of Biologically-Motivated Deep Learning
  Algorithms and Architectures
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
26
240
0
12 Jul 2018
Biologically Motivated Algorithms for Propagating Local Target
  Representations
Biologically Motivated Algorithms for Propagating Local Target Representations
Alexander Ororbia
A. Mali
20
87
0
26 May 2018
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