深度学习领域论文综述

2020-01-04  本文已影响0人  顾北向南

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

2.Few-shot Learning: A Survey(小样本学习)

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

3. meta Learning: A Survey(元学习)

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

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

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

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

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

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

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

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

https://arxiv.org/abs/1912.04977

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

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

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