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Weight normalization: separate parameter magnitude and direction

Reparameterized neuron weight vectors by a scalar norm and normalized direction, deriving gradients and studying optimization without minibatch-dependent weight normalization.

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Reparameterized neuron weight vectors by a scalar norm and normalized direction, deriving gradients and studying optimization without minibatch-dependent weight normalization.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

Inspired by batch normalization and earlier reparameterization methods. Normalizes parameters, not guaranteed zero-mean/unit-variance activations; data-dependent initialization and a mean-only batch-normalization variant are separate components. Reported optimization improvements are not a universal Hessian-conditioning or convergence theorem.

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People and systems

Tim Salimans; Diederik P. Kingma

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

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English catalogue narrative

Weight normalization: separate parameter magnitude and direction

Reparameterized neuron weight vectors by a scalar norm and normalized direction, deriving gradients and studying optimization without minibatch-dependent weight normalization.

Scientific scope

Inspired by batch normalization and earlier reparameterization methods. Normalizes parameters, not guaranteed zero-mean/unit-variance activations; data-dependent initialization and a mean-only batch-normalization variant are separate components. Reported optimization improvements are not a universal Hessian-conditioning or convergence theorem.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Tim Salimans; Diederik P. Kingma

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

Original sources