深度学习领域论文综述

参考于：https://mp.weixin.qq.com/s/LFyCGF8e_J47weWLrClpTg

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

http://www.zhuanzhi.ai/paper/2236c08ef0cd1bc87cae0f14cfbb9915
https://ieeexplore.ieee.org/document/8269806

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2.Few-shot Learning: A Survey（小样本学习）

https://www.zhuanzhi.ai/paper/c7a2464c0865b9602a4103fb44659858

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3. meta Learning: A Survey（元学习）

http://www.zhuanzhi.ai/paper/dd60eaffea966331e199fa531bae7044

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4. A Comprehensive Survey on Transfer Learning（迁移学习）

https://arxiv.org/abs/1911.02685
https://www.zhuanzhi.ai/paper/021fc3dc3356e0089f0e845408cc3aa4

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5. 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

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6. Object Detection in 20 Years: A Survey（目标检测）

https://arxiv.org/abs/1905.05055
https://www.zhuanzhi.ai/paper/4d9c0fdcc5a0a2b796e44e214fc9cb02

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

https://www.mdpi.com/2071-1050/10/9/3245

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8.Advances and Open Problems in Federated Learning（联邦学习）

https://arxiv.org/abs/1912.04977

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9.Optimization for deep learning: theory and algorithms（深度学习理论）

https://www.zhuanzhi.ai/paper/2a5e7596942977067240c946ecd4bd47

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