AI RESEARCH
Sparse Goodness: How Selective Measurement Transforms Forward-Forward Learning
arXiv CS.AI
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ArXi:2604.13081v1 Announce Type: cross The Forward-Forward (FF) algorithm is a biologically plausible alternative to backpropagation that trains neural networks layer by layer using a local goodness function to distinguish positive from negative data. Since its