The Trifecta: Three simple techniques for training deeper
Forward-Forward networks

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The Trifecta: Three simple techniques for training deeper Forward-Forward networks

29 November 2023

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Papers citing "The Trifecta: Three simple techniques for training deeper Forward-Forward networks"

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Title
Reshaping the Forward-Forward Algorithm with a Similarity-Based Objective James Gong Raymond Luo Emma Wang Leon Ge Bruce Li Felix Marattukalam Waleed Abdulla AAML 72 1 0 29 Aug 2025
FFGAF-SNN: The Forward-Forward Based Gradient Approximation Free Training Framework for Spiking Neural Networks Changqing Xu Ziqiang Yang Yi Liu Xinfang Liao Guiqi Mo Hao Zeng Yintang Yang 120 0 0 31 Jul 2025
On Advancements of the Forward-Forward Algorithm Mauricio Ortiz Torres Markus Lange Arne P. Raulf 271 1 0 30 Apr 2025
Distance-Forward Learning: Enhancing the Forward-Forward Algorithm Towards High-Performance On-Chip Learning Yujie Wu Siyuan Xu Jibin Wu Lei Deng Mingkun Xu Qinghao Wen Guoqi Li FedML 193 5 0 27 Aug 2024
Training Convolutional Neural Networks with the Forward-Forward algorithmScientific Reports (Sci Rep), 2023 Riccardo Scodellaro A. Kulkarni Frauke Alves Matthias Schröter 322 12 0 22 Dec 2023