SQS is a new GLU activation that reportedly preserves bilinear weight spectra for interpretability while achieving competitive performance on MNIST, FMNIST, and Tiny Stories.
SGDR: Stochastic Gradient Descent with Warm Restarts
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Preserving Bilinear Weight Spectra with a Signed and Shrunk Quadratic Activation Function
SQS is a new GLU activation that reportedly preserves bilinear weight spectra for interpretability while achieving competitive performance on MNIST, FMNIST, and Tiny Stories.