论文阅读笔记：From Zero-Shot Learning to Cold-Start Recommendation

时间 2020-12-30

标签小样本学习+零样本学习推荐系统零样本学习冷启动推荐大数据人工智能深度学习繁體版

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论文：From Zero-Shot Learning to Cold-Start Recommendation / 从零样本学习到冷启动推荐作者：Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang 发表刊物：AAAI 发表年度：2019 下载地址：https://arxiv.org/abs/1906.08511 Abst

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1. 论文阅读笔记：Low-rank Linear Cold-Start Recommendation from Social Data
2. Machine Learning & Deep Learning 论文阅读笔记
3. [论文阅读笔记] Survey_History from AlexNet
4. 论文阅读笔记：From Image-level to Pixel-level Labeling with Convolutional Networks
5. 论文阅读笔记《Deep Meta-Learning: Learning to Learn in the Concept Space》
6. 论文阅读笔记《Meta-SGD: Learning to Learn Quickly for Few-Shot Learning》
7. 论文阅读笔记《Learning to Compare: Relation Network for Few-Shot Learning》
8. 论文阅读：AutoAugment: Learning Augmentation Strategies from Data
9. Deep Mutual Learning论文阅读笔记
10. Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data 论文阅读笔记

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