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cs.LG2026
Adaptive Multi-Scale Goodness Aggregation for Forward-Forward Learning
Salar Beigzad, Vansh Verma
We propose Adaptive Multi-Scale Goodness Aggregation (AMSGA), a novel extension of the Forward-Forward (FF) algorithm designed to improve stability, robustness, and generalization…
cs.LG2025
NetworkFF: Unified Layer Optimization in Forward-Only Neural Networks
Salar Beigzad
The Forward-Forward algorithm eliminates backpropagation's memory constraints and biological implausibility through dual forward passes with positive and negative data. However, co…
cs.LG2024
Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task
Alireza Maleki, Mahsa Lavaei, Mohsen Bagheritabar +2
Deep learning techniques have proven highly effective in image classification, but their deployment in resourceconstrained environments remains challenging due to high computationa…