FFR: Forward-Forward Learning for Regression

arXiv:2606.03927 · cs.LG, cs.AI · Submitted 2026-06-02 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-06-02

Updated: 2026-10-06

Terminology

• Accuracy — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Contrastive Learning — 1× in this paper · explained in 6 episodes
• Forward-Forward for Regression — 1× in this paper

Sources

• How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation
• The Trifecta: Three simple techniques for training deeper Forward-Forward networks
• Local learning for stable backpropagation-free neural network training towards physical learning
• The Forward-Forward Algorithm: Some Preliminary Investigations
• Function regression using the forward forward training and inferring paradigm

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