Papers citing 'Hebbian Deep Learning Without Feedback'

Title
Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning Shikuang Deng Jiayuan Zhang Yuhang Wu Ting Chen Shi Gu 162 0 0 16 Oct 2025
Forward-Forward Autoencoder Architectures for Energy-Efficient Wireless Communications Daniel Seifert Onur Gunlu Rafael F. Schaefer 69 0 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 92 0 0 07 Oct 2025
NM-Hebb: Coupling Local Hebbian Plasticity with Metric Learning for More Accurate and Interpretable CNNs Davorin Miličević Ratko Grbić 84 0 0 27 Aug 2025
Neuro-inspired Ensemble-to-Ensemble Communication Primitives for Sparse and Efficient ANNs Orestis Konstantaropoulos S. Smirnakis M. Papadopouli 148 0 0 19 Aug 2025
Stochastic Forward-Forward Learning through Representational Dimensionality Compression Zhichao Zhu Yang Qi Hengyuan Ma Wenlian Lu Jianfeng Feng 125 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 265 3 0 06 May 2025
Classifying States of the Hopfield Network with Improved Accuracy, Generalization, and Interpretability Hayden McAlister Anthony Robins Lech Szymanski 172 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 350 17 0 17 Feb 2025
OscNet: Machine Learning on CMOS Oscillator Networks Wenxiao Cai Thomas H. Lee 365 3 0 11 Feb 2025
Neuronal Competition Groups with Supervised STDP for Spike-Based ClassificationNeural Information Processing Systems (NeurIPS), 2024 Gaspard Goupy Pierre Tirilly Ioan Marius Bilasco 233 3 0 22 Oct 2024
FLOPS: Forward Learning with OPtimal SamplingInternational Conference on Learning Representations (ICLR), 2024 Tao Ren Zishi Zhang Jinyang Jiang Guanghao Li Zeliang Zhang Mingqian Feng Yijie Peng 381 2 0 08 Oct 2024
Self-Contrastive Forward-Forward AlgorithmNature Communications (Nat. Commun.), 2024 Xing Chen Dongshu Liu Jérémie Laydevant Julie Grollier 538 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 219 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 318 3 0 24 Jun 2024
Evolutionary Spiking Neural Networks: A SurveyJournal 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 167 11 0 18 Jun 2024
Towards Interpretable Deep Local Learning with Successive Gradient ReconciliationInternational Conference on Machine Learning (ICML), 2024 Yibo Yang Xiaojie Li Motasem Alfarra Hasan Hammoud Adel Bibi Juil Sock Guohao Li 196 7 0 07 Jun 2024
LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization M. Apolinario Arani Roy Kaushik Roy 264 5 0 24 May 2024
Lightweight Inference for Forward-Forward Algorithm Amin Aminifar Baichuan Huang Azra Abtahi Amir Aminifar 451 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 296 1 0 16 Mar 2024
Decoupled Vertical Federated Learning for Practical Training on Vertically Partitioned Data Avi Amalanshu Yash Sirvi David I. Inouye FedML 160 1 0 06 Mar 2024
Scaling Supervised Local Learning with Augmented Auxiliary Networks Chenxiang Ma Jibin Wu Chenyang Si Kay Chen Tan 194 6 0 27 Feb 2024
A Review of Neuroscience-Inspired Machine Learning Alexander Ororbia A. Mali Adam Kohan Beren Millidge Tommaso Salvatori 272 15 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 318 9 0 14 Feb 2024
Two Tales of Single-Phase Contrastive Hebbian Learning R. Høier Christopher Zach 167 2 0 13 Feb 2024
Training Convolutional Neural Networks with the Forward-Forward algorithmScientific Reports (Sci Rep), 2023 Riccardo Scodellaro A. Kulkarni Frauke Alves Matthias Schröter 330 13 0 22 Dec 2023
Memoria: Resolving Fateful Forgetting Problem through Human-Inspired Memory ArchitectureInternational Conference on Machine Learning (ICML), 2023 Sangjun Park Jinyeong Bak CLL 267 5 0 04 Oct 2023
Improving equilibrium propagation without weight symmetry through Jacobian homeostasisInternational Conference on Learning Representations (ICLR), 2023 Axel Laborieux Friedemann Zenke 336 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 216 8 0 30 Jul 2023
Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey Gabriele Lagani Fabrizio Falchi Claudio Gennaro Giuseppe Amato 171 20 0 30 Jul 2023
Training an Ising Machine with Equilibrium PropagationNature Communications (Nat. Commun.), 2023 Jérémie Laydevant Danijela Marković Julie Grollier 191 44 0 22 May 2023
The Integrated Forward-Forward Algorithm: Integrating Forward-Forward and Shallow Backpropagation With Local Losses De Tang 206 3 0 22 May 2023
Feed-Forward Optimization With Delayed Feedback for Neural Networks Katharina Flügel D. Coquelin Marie Weiel Charlotte Debus Achim Streit Markus Goetz AI4CE 240 10 0 26 Apr 2023
Forward Learning with Top-Down Feedback: Empirical and Analytical CharacterizationInternational Conference on Learning Representations (ICLR), 2023 R. Srinivasan Francesca Mignacco M. Sorbaro Maria Refinetti Avi Cooper Gabriel Kreiman Giorgia Dellaferrera 279 21 0 10 Feb 2023
Blockwise Self-Supervised Learning at Scale Shoaib Ahmed Siddiqui David M. Krueger Yann LeCun Stéphane Deny SSL 218 22 0 03 Feb 2023
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding NetworksInternational 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 294 17 0 16 Nov 2022
Self-Supervised Learning Through Efference CopiesNeural Information Processing Systems (NeurIPS), 2022 Franz Scherr Qinghai Guo Timoleon Moraitis 167 12 0 17 Oct 2022
Activation Learning by Local Competitions Hongchao Zhou AAML 262 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 180 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 375 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 4,626 0 17 Jun 2020