[KongchangAI]
ConceptScaled ELU / 缩放指数线性单元

SELU

A scaled version of ELU that uses fixed scaling factors λ and α so that when the input has zero mean and unit variance the output approximately preserves zero mean and unit variance, giving it self-normalizing properties.

Timeline (last 90 days)

Oct 27

SPreCap introduces SELU-style constants (zero mean, unit variance as fixed points) and adds an input gain b to set the mean-field gradient gain χ1.

Unverified50%
Oct 27

When SPreCap's χ1 is adjusted to match SELU (SPreCap-cs), it is nowhere significantly worse than SELU in any experimental unit, with paired median differences ranging from −0.12 to +0.20 percentage points.

Unverified50%
Oct 27

In the secondary test, SPreCap-e03 with χ1 set to 1.03 achieved a 5.28% test error rate on 100-layer MNIST, versus 6.36% for SELU, with a Holm-corrected p-value of 0.0064 and 13 of 15 seeds performing better.

Unverified50%
Oct 27

The authors mark the result that SPreCap-e03 outperforms SELU at χ1=1.03 as a hypothesis, because this is a secondary test that requires independent verification.

Unverified50%
Oct 27

The original SPreCap (χ1=1.13) is significantly worse than SELU at 100 layers.

Unverified50%
Oct 27

PreCap is not more robust to learning rate than SELU.

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Oct 27

Under fp32, PreCap's CUDA kernel runs at about within 1.5× the speed of native SELU.

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