The Forward-Forward Algorithm: Some Preliminary Investigations

27 December 2022

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

50 / 146 papers shown

Title
ADMM-Based Training for Spiking Neural Networks Giovanni Perin Cesare Bidini Riccardo Mazzieri M. Rossi 24 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 43 0 0 08 May 2025
A Framework for Objective-Driven Dynamical Stochastic Fields Yibo Jacky Zhang Sanmi Koyejo AI4CE 14 0 0 18 Apr 2025
Efficient Model Editing with Task-Localized Sparse Fine-tuning Leonardo Iurada Marco Ciccone Tatiana Tommasi KELM MoMe 50 1 0 03 Apr 2025
Forward Learning with Differential Privacy Mingqian Feng Zeliang Zhang Jinyang Jiang Yijie Peng Chenliang Xu 42 0 0 01 Apr 2025
Meta-Representational Predictive Coding: Biomimetic Self-Supervised Learning Alexander Ororbia Karl J. Friston Rajesh P. N. Rao SSL 52 0 0 22 Mar 2025
Multiplicative Learning Han Kim Hyungjoon Soh V. Periwal Junghyo Jo 43 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 59 0 0 27 Feb 2025
Scalable Back-Propagation-Free Training of Optical Physics-Informed Neural Networks Yequan Zhao Xinling Yu Xian Xiao Zhengzhang Chen Z. Liu G. Kurczveil R. Beausoleil S. Liu Z. Zhang 56 0 0 17 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 130 5 0 17 Feb 2025
TESS: A Scalable Temporally and Spatially Local Learning Rule for Spiking Neural Networks M. Apolinario Kaushik Roy Charlotte Frenkel 104 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 43 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 36 0 0 07 Jan 2025
Scalable Forward-Forward Algorithm Andrii Krutsylo 30 0 0 06 Jan 2025
Training neural networks without backpropagation using particles Deepak Kumar 75 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 64 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 37 2 0 07 Nov 2024
On Occlusions in Video Action Detection: Benchmark Datasets And Training Recipes Rajat Modi Vibhav Vineet Y. 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 25 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 35 1 0 08 Oct 2024
Tight Stability, Convergence, and Robustness Bounds for Predictive Coding Networks A. Mali Tommaso Salvatori Alexander Ororbia 32 0 0 07 Oct 2024
Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning Chia-Hsiang Kao Bharath Hariharan 34 1 0 30 Sep 2024
Unifying back-propagation and forward-forward algorithms through model predictive control Lianhai Ren Qianxiao Li 31 1 0 29 Sep 2024
Novel Saliency Analysis for the Forward Forward Algorithm Mitra Bakhshi 18 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 28 0 0 18 Sep 2024
Contrastive Learning in Memristor-based Neuromorphic Systems Cory Merkel Alexander Ororbia 20 1 0 17 Sep 2024
Self-Contrastive Forward-Forward Algorithm Xing Chen Dongshu Liu Jérémie Laydevant Julie Grollier 34 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 32 0 0 12 Sep 2024
Towards training digitally-tied analog blocks via hybrid gradient computation Timothy Nest M. Ernoult 44 1 0 05 Sep 2024
A Computational Framework for Modeling Emergence of Color Vision in the Human Brain Atsunobu Kotani Ren Ng 24 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 39 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 35 3 0 17 Aug 2024
Training Large-Scale Optical Neural Networks with Two-Pass Forward Propagation Amirreza Ahmadnejad S. Koohi 29 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 34 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 34 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 42 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 40 1 0 20 Jun 2024
Calibrating Neural Networks' parameters through Optimal Contraction in a Prediction Problem Valdes Gonzalo 29 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 H. S. Torr Guohao Li 37 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 51 9 0 05 Jun 2024
LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization M. Apolinario Arani Roy Kaushik Roy 35 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 53 3 0 24 May 2024
EchoSpike Predictive Plasticity: An Online Local Learning Rule for Spiking Neural Networks Lars Graf Zhe Su Giacomo Indiveri 32 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 29 9 0 21 May 2024
Improved Forward-Forward Contrastive Learning R. Gananath 24 2 0 06 May 2024