On the Robustness of Fully-Spiking Neural Networks in Open-World Scenarios using Forward-Only Learning Algorithms

EB Terres-Escudero, J Del Ser… - arXiv preprint arXiv …, 2024 - arxiv.org
In the last decade, Artificial Intelligence (AI) models have rapidly integrated into production
pipelines propelled by their excellent modeling performance. However, the development of …

Exploring the Forward-Forward Algorithm to Train Neural Networks for Camera Trap Images on the Edge

H AlHammadi, M Mkadmi, R Mitra… - 2024 IEEE 10th World …, 2024 - ieeexplore.ieee.org
Camera trap systems and motion-activated field cameras are edge devices commonly used
for animal monitoring in the wild. Using such technologies has revolutionized ecological …

A Survey of Backpropagation-free Training For LLMS

H Mei, D Cai, Y Wu, S Wang, M Xu - Authorea Preprints, 2024 - techrxiv.org
Large language models (LLMs) have achieved remarkable performance in various
downstream tasks. However, training LLMs is computationally expensive and requires a …

Scalable Forward-Forward Algorithm

A Krutsylo - arXiv preprint arXiv:2501.03176, 2025 - arxiv.org
We propose a scalable Forward-Forward (FF) algorithm that eliminates the need for
backpropagation by training each layer separately. Unlike backpropagation, FF avoids …

Memory Consolidation by Deep-Q Forward-Forward Learning in Games

F Kam - 2024 - fse.studenttheses.ub.rug.nl
Neural networks have been pivotal in transforming various fields through machine learning
techniques. Training of these networks relies heavily on the backpropagation algorithm …