Reinforcement Learning in Healthcare
1 Cover "Hi everyone. I'm a doctor at New York People's Hospital. Today, let's chat about how reinforcement learning is making healthcare better. Hear ...
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如何在周末完成一篇学术论文
油管上看了UMN化学系某教授的工作日常有感,写完不禁感慨自己的科研效率还是不高。 1 前期准备工作 回顾之前在阅读相关文献时所做的笔记 更新相关论文的检索 确定论文的读者 确定论文的种类:研究 or 综述 or 教学 想投稿的杂志 最重要的读者是审稿人 2 整体构思 撰写初稿是最具创造 ...
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Veracity-aware and Event-driven Personalized News Recommendation for Fake News Mitigation
1 摘要 Despite the tremendous efforts by social media platforms and factcheck services for fake news detection, fake news and misinformation still spre ...
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Transformers are Graph Neural Networks
1 Transformer 1.1 Representation Learning for NLP image.png NNs build representations of input data as vectors/embeddings, which encode useful sta ...
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A Brief Review of Numerical Analysis
参考资料: 数值分析 第五版 (李庆扬,王能超,易大义) 数值计算方法与算法(张韵华,奚梅成,陈效群) 数值方法 (关治,陆金甫) Linear Algebra Done Right(Sheldon Axler) 1 基础 1.1 误差 1.1.1 误差定义 绝对误差: 设 为精确值, ...
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Do Transformers Really Perform Bad for Graph Representation?
1 📑Metadata The Transformer architecture has become a dominant choice in many domains, such as natural language processing and computer vision. Yet, ...
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Transformer for Graphs:An Overview from Architecture Perspective
1 📑Metadata 摘要 - Recently, Transformer model, which has achieved great success in many artificial intelligence fields, has demonstrated its great pote ...
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我是如何把近十页的论文读成半页的
相关视频:李沐:如何读论文 1 阅读流程 论文通常分为6个部分:Title、Abstract、Introduction (包含Related works)、Method、Experiments、Conclusion。 沐神建议大家分三遍来读一篇论文。 第一遍,目的是大概知道论文在讲什么,适不适 ...
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Representing Long-Range Context for Graph Neural Networks with Global Attention
1 📑Metadata [!abstract] 摘要 Graph neural networks are powerful architectures for structured datasets. However, current methods struggle to represent ...
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PRODIGY:Enabling In-context Learning Over Graphs
1 📑Metadata 摘要 [[In-context learning]] is the ability of a pretrained model to adapt to novel and diverse downstream tasks by conditioning on prompt ...
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