arXivAI Research
Why Forget-Only Unlearning Needs Memorization
「僅去記憶」的兩難：為什麼機器去學習反而需要模型「記住更多」？
Theoretical research reveals that successful "forget-only" machine unlearning requires models to memorize more training data details during initial learning than standard training does.
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