2 papers
cs.LG2026
Mono-Forward: Revisiting Forward-Forward through Objective-Locality Decomposition
James Gong, Bruce Li, Waleed Abdulla
Backpropagation remains the dominant algorithm for training deep neural networks, but it incurs substantial memory overhead and relies on global error propagation, which is often r…
cs.LG2025
Reshaping the Forward-Forward Algorithm with a Similarity-Based Objective
James Gong, Raymond Luo, Emma Wang +4
Backpropagation is the pivotal algorithm underpinning the success of artificial neural networks, yet it has critical limitations such as biologically implausible backward locking a…