开课单位--上海交通大学
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QA4IE: A Question Answering based Framework for Information Extraction[QA4IE：一种基于问答的信息提取框架]
  Lin Qiu(上海交通大学) Information Extraction (IE) refers to automatically extracting structured relation tuples from unstructured texts. Common IE solutions, including Rela...
热度：30

2
Attention-based Aggregation Graph Networks for Knowledge Graph Information Transfer[基于注意力的知识图信息传递聚合图网络]
  Ming Zhao(上海交通大学) Attention-based Aggregation Graph Networks for Knowledge Graph Information Transfer
热度：47

3
Bridging the Gap between von Neumann Graph Entropy and Structural Information: Theory and Applications[架起冯·诺依曼图熵与结构信息之间的桥梁：理论与应用]
  Xuecheng Liu(上海交通大学) Bridging the Gap between von Neumann Graph Entropy and Structural Information: Theory and Applications
热度：66

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AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph[AutoSTG：时空图预测的神经结构搜索]
  Zheyi Pan(上海交通大学) AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph
热度：59

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GNEM: A Generic One-to-Set Neural Entity Matching Framework[GNEM：一种通用的神经实体匹配框架]
  Runjin Chen(上海交通大学) GNEM: A Generic One-to-Set Neural Entity Matching Framework
热度：53

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Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation[用于顺序推荐的对抗式和对比式变分自动编码器]
  Zhe Xie(上海交通大学) Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation
热度：50

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Weakly-Supervised Question Answering with Effective Rank and Weighted Loss over Candidates[基于有效秩和加权损失的弱监督问答]
  Haozhe Qin(上海交通大学) Weakly-Supervised Question Answering with Effective Rank and Weighted Loss over Candidates
热度：52

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A Generative Adversarial Click Model for Information Retrieval[信息检索的生成对抗点击模型]
  Xinyi Dai(上海交通大学) A Generative Adversarial Click Model for Information Retrieval
热度：44

9
Activities of GMO analysis in China[转基因分析在中国的活动]
  Litao Yang(上海交通大学) As the rapid research and application of transgenic techniques in modern agriculture, more and more new GM crops were developed and commercialized in ...
热度：46

10
Separated Trust Regions Policy Optimization Method[信任区分离策略优化方法]
  Luobao Zou(上海交通大学) In this work, we propose a moderate policy update method for reinforcement learning, which encourages the agent to explore more boldly in early episod...
热度：67
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