Selective weight reinitialization, which resets the least useful weights, maintains plasticity in small and layer-normalized networks where unit-level reinitialization methods fail.
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Reinitializing weights vs units for maintaining plasticity in neural networks
Selective weight reinitialization, which resets the least useful weights, maintains plasticity in small and layer-normalized networks where unit-level reinitialization methods fail.