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Hebbian Deep Learning Without Feedback
International Conference on Learning Representations (ICLR), 2022
23 September 2022
Adrien Journé
Hector Garcia Rodriguez
Qinghai Guo
Timoleon Moraitis
AAML
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Papers citing
"Hebbian Deep Learning Without Feedback"
41 / 41 papers shown
Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning
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Jiayuan Zhang
Yuhang Wu
Ting Chen
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171
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16 Oct 2025
Forward-Forward Autoencoder Architectures for Energy-Efficient Wireless Communications
Daniel Seifert
Onur Gunlu
Rafael F. Schaefer
86
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0
13 Oct 2025
From Neural Activity to Computation: Biological Reservoirs for Pattern Recognition in Digit Classification
Ludovico Iannello
Luca Ciampi
Fabrizio Tonelli
Gabriele Lagani
Lucio Maria Calcagnile
F. Cremisi
Angelo Di Garbo
Giuseppe Amato
108
0
0
07 Oct 2025
NM-Hebb: Coupling Local Hebbian Plasticity with Metric Learning for More Accurate and Interpretable CNNs
Davorin Miličević
Ratko Grbić
92
0
0
27 Aug 2025
Neuro-inspired Ensemble-to-Ensemble Communication Primitives for Sparse and Efficient ANNs
Orestis Konstantaropoulos
S. Smirnakis
M. Papadopouli
156
0
0
19 Aug 2025
Stochastic Forward-Forward Learning through Representational Dimensionality Compression
Zhichao Zhu
Yang Qi
Hengyuan Ma
Wenlian Lu
Jianfeng Feng
206
0
0
22 May 2025
From Neurons to Computation: Biological Reservoir Computing for Pattern Recognition
Ludovico Iannello
Luca Ciampi
Gabriele Lagani
Fabrizio Tonelli
Eleonora Crocco
Lucio Maria Calcagnile
Angelo Di Garbo
F. Cremisi
Giuseppe Amato
293
3
0
06 May 2025
Classifying States of the Hopfield Network with Improved Accuracy, Generalization, and Interpretability
Hayden McAlister
Anthony Robins
Lech Szymanski
184
0
0
04 Mar 2025
Benchmarking Predictive Coding Networks -- Made Simple
Luca Pinchetti
Chang Qi
Oleh Lokshyn
Gaspard Olivers
Cornelius Emde
...
Simon Frieder
Bayar I. Menzat
Rafal Bogacz
Thomas Lukasiewicz
Tommaso Salvatori
384
17
0
17 Feb 2025
OscNet: Machine Learning on CMOS Oscillator Networks
Wenxiao Cai
Thomas H. Lee
377
3
0
11 Feb 2025
Neuronal Competition Groups with Supervised STDP for Spike-Based Classification
Neural Information Processing Systems (NeurIPS), 2024
Gaspard Goupy
Pierre Tirilly
Ioan Marius Bilasco
253
3
0
22 Oct 2024
FLOPS: Forward Learning with OPtimal Sampling
International Conference on Learning Representations (ICLR), 2024
Tao Ren
Zishi Zhang
Jinyang Jiang
Guanghao Li
Zeliang Zhang
Mingqian Feng
Yijie Peng
442
2
0
08 Oct 2024
Self-Contrastive Forward-Forward Algorithm
Nature Communications (Nat. Commun.), 2024
Xing Chen
Dongshu Liu
Jérémie Laydevant
Julie Grollier
583
6
0
17 Sep 2024
HPFF: Hierarchical Locally Supervised Learning with Patch Feature Fusion
Junhao Su
Chenghao He
Feiyu Zhu
Xiaojie Xu
Dongzhi Guan
Chenyang Si
255
3
0
08 Jul 2024
MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network
Yuming Zhang
Shouxin Zhang
Peizhe Wang
Feiyu Zhu
Dongzhi Guan
Junhao Su
Jiabin Liu
Xiuyuan Guo
368
3
0
24 Jun 2024
Evolutionary Spiking Neural Networks: A Survey
Journal of Membrane Computing (J. Membr. Comput.), 2024
Shuaijie Shen
Rui Zhang
Chao Wang
Renzhuo Huang
Aiersi Tuerhong
Qinghai Guo
Zhichao Lu
Jianguo Zhang
Luziwei Leng
183
12
0
18 Jun 2024
Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation
International Conference on Machine Learning (ICML), 2024
Yibo Yang
Xiaojie Li
Motasem Alfarra
Hasan Hammoud
Adel Bibi
Juil Sock
Guohao Li
228
7
0
07 Jun 2024
LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization
M. Apolinario
Arani Roy
Kaushik Roy
288
5
0
24 May 2024
Lightweight Inference for Forward-Forward Algorithm
Amin Aminifar
Baichuan Huang
Azra Abtahi
Amir Aminifar
493
4
0
08 Apr 2024
Forward Learning of Graph Neural Networks
Namyong Park
Xing Wang
Antoine Simoulin
Shuai Yang
Grey Yang
Ryan Rossi
Puja Trivedi
Nesreen K. Ahmed
GNN
340
1
0
16 Mar 2024
Decoupled Vertical Federated Learning for Practical Training on Vertically Partitioned Data
Avi Amalanshu
Yash Sirvi
David I. Inouye
FedML
188
1
0
06 Mar 2024
Scaling Supervised Local Learning with Augmented Auxiliary Networks
Chenxiang Ma
Jibin Wu
Chenyang Si
Kay Chen Tan
202
7
0
27 Feb 2024
A Review of Neuroscience-Inspired Machine Learning
Alexander Ororbia
A. Mali
Adam Kohan
Beren Millidge
Tommaso Salvatori
308
16
0
16 Feb 2024
End-to-End Training Induces Information Bottleneck through Layer-Role Differentiation: A Comparative Analysis with Layer-wise Training
Keitaro Sakamoto
Issei Sato
338
10
0
14 Feb 2024
Two Tales of Single-Phase Contrastive Hebbian Learning
R. Høier
Christopher Zach
204
2
0
13 Feb 2024
Training Convolutional Neural Networks with the Forward-Forward algorithm
Scientific Reports (Sci Rep), 2023
Riccardo Scodellaro
A. Kulkarni
Frauke Alves
Matthias Schröter
369
13
0
22 Dec 2023
Memoria: Resolving Fateful Forgetting Problem through Human-Inspired Memory Architecture
International Conference on Machine Learning (ICML), 2023
Sangjun Park
Jinyeong Bak
CLL
286
6
0
04 Oct 2023
Improving equilibrium propagation without weight symmetry through Jacobian homeostasis
International Conference on Learning Representations (ICLR), 2023
Axel Laborieux
Friedemann Zenke
361
9
0
05 Sep 2023
Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey
Gabriele Lagani
Fabrizio Falchi
Claudio Gennaro
Giuseppe Amato
AAML
236
8
0
30 Jul 2023
Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey
Gabriele Lagani
Fabrizio Falchi
Claudio Gennaro
Giuseppe Amato
179
20
0
30 Jul 2023
Training an Ising Machine with Equilibrium Propagation
Nature Communications (Nat. Commun.), 2023
Jérémie Laydevant
Danijela Marković
Julie Grollier
203
45
0
22 May 2023
The Integrated Forward-Forward Algorithm: Integrating Forward-Forward and Shallow Backpropagation With Local Losses
De Tang
238
3
0
22 May 2023
Feed-Forward Optimization With Delayed Feedback for Neural Network Training
Katharina Flügel
D. Coquelin
Marie Weiel
Charlotte Debus
Achim Streit
Markus Goetz
AI4CE
308
10
0
26 Apr 2023
Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization
International Conference on Learning Representations (ICLR), 2023
R. Srinivasan
Francesca Mignacco
M. Sorbaro
Maria Refinetti
Avi Cooper
Gabriel Kreiman
Giorgia Dellaferrera
287
21
0
10 Feb 2023
Blockwise Self-Supervised Learning at Scale
Shoaib Ahmed Siddiqui
David M. Krueger
Yann LeCun
Stéphane Deny
SSL
247
22
0
03 Feb 2023
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks
International Conference on Learning Representations (ICLR), 2022
Tommaso Salvatori
Yuhang Song
Yordan Yordanov
Beren Millidge
Zheng R. Xu
Lei Sha
Cornelius Emde
Rafal Bogacz
Thomas Lukasiewicz
322
17
0
16 Nov 2022
Self-Supervised Learning Through Efference Copies
Neural Information Processing Systems (NeurIPS), 2022
Franz Scherr
Qinghai Guo
Timoleon Moraitis
196
12
0
17 Oct 2022
Activation Learning by Local Competitions
Hongchao Zhou
AAML
282
7
0
26 Sep 2022
Biologically Plausible Training of Deep Neural Networks Using a Top-down Credit Assignment Network
Jian-Hui Chen
Cheng-Lin Liu
Zuoren Wang
200
0
0
01 Aug 2022
SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft Winner-Take-All Networks
Timoleon Moraitis
Dmitry Toichkin
Adrien Journé
Yansong Chua
Qinghai Guo
AAML
BDL
431
36
0
12 Jul 2021
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
1.2K
4,653
0
17 Jun 2020
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