When Unlearning Is Free: Leveraging Low Influence Points to Reduce Computational Costs
随着对机器学习中数据隐私的担忧不断增加，从训练模型中遗忘或删除特定数据点的能力变得越来越重要。尽管最先进的遗忘方法已经出现，但它们通常平等地对待遗忘集中的所有点。在这项工作中，我们通过询问是否需要删除对模型学习影响可忽略不计的点来挑战这种方法。 Through a comparative analysis of influence functions across language and vision tasks, we identify subsets of training data with negligible impact on model outputs…
Huntsville Center expertise identifies, prioritizes operational technology risks
阿拉巴马州红石兵工厂 — 位于亨茨维尔的美国陆军工程和支持中心在改善网络安全方面完成了一个重要里程碑...
Telangana prepares action plan to tackle El Nino: Deputy CM Bhatti
Bhatti stated the government aims to combine scientific planning with public awareness, so every family and village understands and prepares for El Niño risks
