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Machine Unlearning: Techniques, Challenges, and Future Directions

The Data Exchange with Ben Lorica

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Introduction

A PhD student from Stanford discusses the inspiration behind their post on machine unlearning, the timing of addressing this topic, and the renewed interest it has gained with the rise of large models. Reflecting on shifting perspectives from privacy concerns, they delve into the new challenges and unsolved problems within the realm of unlearning.

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