The Forward-Forward Algorithm: Some Preliminary Investigations

27 December 2022

Papers citing "The Forward-Forward Algorithm: Some Preliminary Investigations"

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Title
Programmable metasurfaces for future photonic artificial intelligence Loubnan Abou-Hamdan Emil Marinov Peter Wiecha Philipp del Hougne Tianyu Wang Patrice Genevet 7 0 0 16 May 2025
ADMM-Based Training for Spiking Neural Networks Giovanni Perin Cesare Bidini Riccardo Mazzieri M. Rossi 34 0 0 08 May 2025
Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning Le-Trung Nguyen Ael Quélennec Van-Tam Nguyen Enzo Tartaglione 48 0 0 08 May 2025
A Framework for Objective-Driven Dynamical Stochastic Fields Yibo Jacky Zhang Sanmi Koyejo AI4CE 19 0 0 18 Apr 2025
Efficient Model Editing with Task-Localized Sparse Fine-tuning Leonardo Iurada Marco Ciccone Tatiana Tommasi KELM MoMe 61 2 0 03 Apr 2025
Forward Learning with Differential Privacy Mingqian Feng Zeliang Zhang Jinyang Jiang Yijie Peng Chenliang Xu 47 0 0 01 Apr 2025
Meta-Representational Predictive Coding: Biomimetic Self-Supervised Learning Alexander Ororbia Karl J. Friston Rajesh P. N. Rao SSL 57 0 0 22 Mar 2025
Multiplicative Learning Han Kim Hyungjoon Soh V. Periwal Junghyo Jo 55 0 0 13 Mar 2025
Forward-Cooperation-Backward (FCB) learning in a Multi-Encoding Uni-Decoding neural network architecture Prasun Dutta Koustab Ghosh Rajat K. De 64 0 0 27 Feb 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 132 5 0 17 Feb 2025
Scalable Back-Propagation-Free Training of Optical Physics-Informed Neural Networks Yequan Zhao Xinling Yu Xian Xiao Zhengzhang Chen Zhengwu Liu G. Kurczveil R. Beausoleil Shixuan Liu Z. Zhang 59 0 0 17 Feb 2025
TESS: A Scalable Temporally and Spatially Local Learning Rule for Spiking Neural Networks M. Apolinario Kaushik Roy Charlotte Frenkel 108 0 0 03 Feb 2025
A Contrastive Symmetric Forward-Forward Algorithm (SFFA) for Continual Learning Tasks Erik B. Terres-Escudero Javier Del Ser Pablo García Bringas AAML CLL 50 0 0 10 Jan 2025
Hardware-In-The-Loop Training of a 4f Optical Correlator with Logarithmic Complexity Reduction for CNNs Lorenzo Pes Maryam Dehbashizadeh Chehreghan Rick Luiken Sander Stuijk Ripalta Stabile Federico Corradi 41 0 0 07 Jan 2025
Scalable Forward-Forward Algorithm Andrii Krutsylo 56 0 0 06 Jan 2025
Training neural networks without backpropagation using particles Deepak Kumar 80 0 0 07 Dec 2024
An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models Yunzhe Hu Difan Zou Dong Xu 74 1 0 26 Nov 2024
A Neural Network Training Method Based on Distributed PID Control Jiang Kun 69 1 0 18 Nov 2024
Poor Man's Training on MCUs: A Memory-Efficient Quantized Back-Propagation-Free Approach Yequan Zhao Hai Li Ian Young Zheng-Wei Zhang MQ 39 2 0 07 Nov 2024
On Occlusions in Video Action Detection: Benchmark Datasets And Training Recipes Rajat Modi Vibhav Vineet Yogesh S Rawat 40 1 0 25 Oct 2024
Beyond Backpropagation: Optimization with Multi-Tangent Forward Gradients Katharina Flügel D. Coquelin Marie Weiel Achim Streit Markus Gotz 27 0 0 23 Oct 2024
$Adapt-$\infty$: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection$ Adapt- $\infty$ : Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection A. Maharana Jaehong Yoon Tianlong Chen Joey Tianyi Zhou 34 1 0 14 Oct 2024
FLOPS: Forward Learning with OPtimal Sampling Tao Ren Zishi Zhang Jinyang Jiang Guanghao Li Zeliang Zhang Mingqian Feng Yijie Peng 42 1 0 08 Oct 2024
Tight Stability, Convergence, and Robustness Bounds for Predictive Coding Networks A. Mali Tommaso Salvatori Alexander Ororbia 40 0 0 07 Oct 2024
Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning Chia-Hsiang Kao Bharath Hariharan 56 1 0 30 Sep 2024
Unifying back-propagation and forward-forward algorithms through model predictive control Lianhai Ren Qianxiao Li 36 1 0 29 Sep 2024
Novel Saliency Analysis for the Forward Forward Algorithm Mitra Bakhshi 34 1 0 18 Sep 2024
A Unified Framework for Neural Computation and Learning Over Time S. Melacci Alessandro Betti Michele Casoni Tommaso Guidi Matteo Tiezzi Marco Gori AI4TS 32 0 0 18 Sep 2024
Contrastive Learning in Memristor-based Neuromorphic Systems Cory Merkel Alexander Ororbia 30 1 0 17 Sep 2024
Self-Contrastive Forward-Forward Algorithm Xing Chen Dongshu Liu Jérémie Laydevant Julie Grollier 46 2 0 17 Sep 2024
Training Spiking Neural Networks via Augmented Direct Feedback Alignment Yongbo Zhang Katsuma Inoue M. Nakajima Toshikazu Hashimoto Yasuo Kuniyoshi Kohei Nakajima 43 0 0 12 Sep 2024
Towards training digitally-tied analog blocks via hybrid gradient computation Timothy Nest M. Ernoult 54 1 0 05 Sep 2024
A Computational Framework for Modeling Emergence of Color Vision in the Human Brain Atsunobu Kotani Ren Ng 34 0 0 29 Aug 2024
Physics-Driven AI Correction in Laser Absorption Sensing Quantification Ruiyuan Kang P. Liatsis Meixia Geng Qingjie Yang 45 0 0 20 Aug 2024
Second-Order Forward-Mode Automatic Differentiation for Optimization Adam D. Cobb Atılım Güneş Baydin Barak A. Pearlmutter Susmit Jha ODL 47 1 0 19 Aug 2024
On the Improvement of Generalization and Stability of Forward-Only Learning via Neural Polarization Erik B. Terres-Escudero Javier Del Ser Pablo García Bringas 43 3 0 17 Aug 2024
Training Large-Scale Optical Neural Networks with Two-Pass Forward Propagation Amirreza Ahmadnejad S. Koohi 34 2 0 15 Aug 2024
Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural Networks Mingqing Xiao Qingyan Meng Zongpeng Zhang D.K. He Zhouchen Lin 45 0 0 17 Jul 2024
Sign Gradient Descent-based Neuronal Dynamics: ANN-to-SNN Conversion Beyond ReLU Network Hyunseok Oh Youngki Lee 48 1 0 01 Jul 2024
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning Yifan Yang Kai Zhen Ershad Banijamal Athanasios Mouchtaris Zheng Zhang 42 8 0 26 Jun 2024
Emerging NeoHebbian Dynamics in Forward-Forward Learning: Implications for Neuromorphic Computing Erik B. Terres-Escudero Javier Del Ser Pablo García Bringas 44 0 0 24 Jun 2024
Towards Biologically Plausible Computing: A Comprehensive Comparison Changze Lv Yufei Gu Zhengkang Guo Zhibo Xu Yixin Wu ... Tianlong Li Jianhao Zhu Cenyuan Zhang Zixuan Ling Xiaoqing Zheng 38 1 0 23 Jun 2024
Resource-efficient Medical Image Analysis with Self-adapting Forward-Forward Networks Johanna P. Müller Bernhard Kainz MedIm 48 1 0 20 Jun 2024
Calibrating Neural Networks' parameters through Optimal Contraction in a Prediction Problem Valdes Gonzalo 36 0 0 15 Jun 2024
Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation Yibo Yang Xiaojie Li Motasem Alfarra Hasan Hammoud Adel Bibi Philip Torr Guohao Li 42 2 0 07 Jun 2024
Training of Physical Neural Networks Ali Momeni Babak Rahmani B. Scellier Logan G. Wright Peter L. McMahon ... Julie Grollier Andrea J. Liu D. Psaltis Andrea Alù Romain Fleury PINN AI4CE 56 10 0 05 Jun 2024
LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization M. Apolinario Arani Roy Kaushik Roy 43 2 0 24 May 2024
Thinking Forward: Memory-Efficient Federated Finetuning of Language Models Kunjal Panchal Nisarg Parikh Sunav Choudhary Lijun Zhang Yuriy Brun Hui Guan 61 3 0 24 May 2024
EchoSpike Predictive Plasticity: An Online Local Learning Rule for Spiking Neural Networks Lars Graf Zhe Su Giacomo Indiveri 40 0 0 22 May 2024
FFCL: Forward-Forward Net with Cortical Loops, Training and Inference on Edge Without Backpropagation Ali Karkehabadi Houman Homayoun Avesta Sasan 32 9 0 21 May 2024