首页|Some New Trends of Deep Learning Research

Some New Trends of Deep Learning Research

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
  • 维普
Deep learning has been attracting increasing attention in the recent decade throughout science and engineering due to its wide range of successful applications.In real problems,however,most implementation stages for applying deep learning still require inevitable manual interventions,which naturally conducts difficulty in its availability to general users with less expertise and also deviates from the intelligence of humans.It is thus a challenging while critical issue to enhance the level of automation across all elements of the entire deep learning framework,like input amelioration,model designing and learning,and output adjustment.This paper tries to list several representative issues of this research topic,and briefly describe their recent research progress and some related works proposed along this research line.Some specific challenging problems have also been presented.

Deep learningSample selectionData augmentationSmall sample learningGeneralizationInterpretabilityLearning to learn

MENG Deyu、SUN Lina

展开 >

School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an 710049, China

Faculty of Information Technology, Macau University of Science and Technology, Macau 999078, China

This work is supported by the National Natural Science Foundation of ChinaThis work is supported by the National Natural Science Foundation of ChinaThis work is supported by the National Natural Science Foundation of ChinaThis work is supported by the National Natural Science Foundation of ChinaThis work is supported by the National Natural Science Foundation of China

61661166011No.11690011No.61603292No.61721002No.U1811461

2019

10.1049/cje.2019.07.011

中国电子杂志(英文版)

中国电子杂志(英文版)

CSTPCDCSCDSCIEI
ISSN：1022-4653
年,卷(期)：2019.28(6)
  • 46