Abstract: Batch normalization (BN) enhances the training of deep ReLU neural network with a composition of mean centering (centralization) and variance scaling (unitization). Despite the success of BN ...

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Abstract: Batch normalization (BN) has proven to be a critical component in speeding up the training of deep spiking neural networks in deep learning. However, conventional BN implementations face ...

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The old adage, "familiarity breeds contempt," rings eerily true when considering the dangers of normalizing deviance. Coined by sociologist Diane Vaughan, this phenomenon describes the gradual process ...

On the current alpha branch, JumpRELU SAEs fail to reduce L0 in training, regardless of L0 coefficient. See for example this wandb plot: Context: I'm experimenting with a novel SAE architecture, ...