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Temas / Exact deletion method for influence testing

Punto de vista parafraseado

Gifford describes deleting training inputs and their influence

David Gifford describes the paper’s method as deleting training inputs and all their influence. He says it enables efficient, large-scale deletion and shows that the results do not change.

David Gifford·Publicado

Detrás de la opinión

Las traducciones son para facilitar la lectura; los extractos originales siguen siendo la source evidence.

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Extracto original

This paper introduces the first method that is absolute. You're actually deleting the inputs and deleting all influences of the inputs.
Contexto

"They really could not absolutely show that deleting individual things did not change the output. This is the first exact method for doing large-scale deletion efficiently and showing that the results don't change."

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