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7 Papers & Radios | 依图新模型ConvBERT超越BERT;ML模型的安全与隐私

机器之心  · 公众号  · AI  · 2020-11-15 13:08
机器之心 & ArXiv Weekly Radiostation参与:杜伟、楚航、罗若天本周的重要论文包括依图推出的预训练语言理解新模型 ConvBERT,以及关于机器学习模型安全性与隐私的探讨。目录:Graph Neural Networks in Recommender Systems: A SurveyKnowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect TeacherConvBERT: Improving BERT with Span-based Dynamic ConvolutionA Survey of Label-noise Representation Learning: Past, Present and FutureStructured Models for Vision-and-Language ReasoningSecurity and Privacy of Machine Learning Models: A SurveryDeep Learning for Detecting Cerebral Aneurysms with CT AngiographyArXiv Weekly Radiostation:NLP、CV、ML 更多精选论文(附音频)论文 1:Graph Neural Networks in Recommender Systems: A Survey作者:Shiwen Wu、Wentao Zhang、Fei Sun、Bin Cui论文链接 ………………………………

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