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GraSP: pruning before training by gradient-signal preservation

Used Hessian-gradient products at initialization to score weight removals by their first-order effect on gradient norm, then trained the selected sparse subnetwork.

What is recorded here?

Used Hessian-gradient products at initialization to score weight removals by their first-order effect on gradient norm, then trained the selected sparse subnetwork.

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

Scientific scope

This is a data-dependent pruning heuristic. Neural-tangent-kernel discussion motivates trainability but constant-kernel/infinite-width conditions do not prove finite-network accuracy or globally optimal masks. It differs from SNIP's immediate-loss sensitivity; all reported training comparisons remain benchmark-specific.

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People and systems

Chaoqi Wang; Guodong Zhang; Roger Grosse

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

GraSP: pruning before training by gradient-signal preservation

Used Hessian-gradient products at initialization to score weight removals by their first-order effect on gradient norm, then trained the selected sparse subnetwork.

Scientific scope

This is a data-dependent pruning heuristic. Neural-tangent-kernel discussion motivates trainability but constant-kernel/infinite-width conditions do not prove finite-network accuracy or globally optimal masks. It differs from SNIP's immediate-loss sensitivity; all reported training comparisons remain benchmark-specific.

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

Chaoqi Wang; Guodong Zhang; Roger Grosse

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