【论文阅读】Author2Vec: Learning Author Representations by Combining Content and Link Information

时间 2020-12-21

标签深度学习繁體版

原文原文链接

《Author2Vec: Learning Author Representations by Combining Content and Link Information》 Ganesh J, Ganguly S, Gupta M, et al. 2016. Abstract 在本文中，我们考虑从书目合著者网络中学习作者向量表示。在图像方面，深度学习现有的方法（如DeepWalk）由于侧重于对链

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1. 论文阅读 Human Pose Regression by Combining Indirect Part Detection and Contextual Information
2. DIM（Learning deep representations by mutual information estimation and maximization）
3. 【论文笔记——DIM】Learning Deep Representations By Mutual Information Estimation and Maximization
4. camel论文阅读笔记《Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification 》
5. 论文阅读：DeepWalk Online Learning of Social Representations
6. 【论文阅读】Neural Machine Translation By Jointly Learning To Align and Translate
7. One-shot VC by Separating Speaker and Content Representations with Instance Normalization阅读
8. 论文阅读：Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks
9. 论文阅读笔记（五十一）：Understanding Deep Image Representations by Inverting Them
10. Machine Learning & Deep Learning 论文阅读笔记

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