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Excessive weight decay drives scale-invariant weight norms past a critical boundary and destabilizes training, which explains why weight penalties cannot be made arbitrarily strong despite improving generalization

Neural and Evolutionary Computing28 Jul 2026

http://arxiv.org/abs/2607.21005v1