# 2019->2020必看的十篇「深度学习领域综述」论文

1、A guide to deep learning in healthcare（医疗深度学习技术指南）

https://www.nature.com/articles/s41591-018-0316-z

2、Multimodal Machine Learning: A Survey and Taxonomy（多模态机器学习）

CMU TPAMI

http://www.zhuanzhi.ai/paper/2236c08ef0cd1bc87cae0f14cfbb9915

https://ieeexplore.ieee.org/document/8269806

3、Few-shot Learning: A Survey（小样本学习）

4、meta Learning: A Survey（元学习）

5、A Comprehensive Survey on Transfer Learning（迁移学习）

https://www.zhuanzhi.ai/paper/021fc3dc3356e0089f0e845408cc3aa4

6、Multimodal Intelligence: Representation Learning, Information Fusion, and Applications（多模态智能论文综述：表示学习，信息融合与应用）

https://arxiv.org/abs/1911.03977

https://www.zhuanzhi.ai/paper/efe8f986342d215a8179d447624801ee

7、Object Detection in 20 Years: A Survey（目标检测）

https://www.zhuanzhi.ai/paper/4d9c0fdcc5a0a2b796e44e214fc9cb02

8、A Survey of Techniques for Constructing Chinese Knowledge Graphs and Their Applications（中文知识图谱）

9、Advances and Open Problems in Federated Learning（联邦学习）

10、Optimization for deep learning: theory and algorithms（深度学习理论）