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0111 · Mar 201919922001200920172026
1 result for PSI-flatness

This paper introduces PSI-flatness to better understand ReLU neural networks' flatness and generalization.

problem Existing flatness definitions fail to account for ReLU neural networks' Positively Scale-Invariant (PSI) property.
method Formalizes PSI-flatness on basis path values, proving its relation to generalization.
result Minimums with balanced basis path values are flatter and generalize better.