Machine Unlearning


Définition

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Machine Unlearning

As our ML models today become larger and their (pre-)training sets grow to inscrutable sizes, people are increasingly interested in the concept of machine unlearning to edit away undesired things like private data, stale knowledge, copyrighted materials, toxic/unsafe content, dangerous capabilities, and misinformation, without retraining models from scratch.

Source

Source : deepgram

Source : research.google



Contributeurs: wiki