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题名

ESSR: Evolving Sparse Sharing Representation for Multi-task Learning

作者
发表日期
2023
DOI
发表期刊
ISSN
1089-778X
EISSN
1941-0026
卷号PP期号:99页码:1-1
摘要
Multi-task learning uses knowledge transfer among tasks to improve the generalization performance of all tasks. For deep multi-task learning, knowledge transfer is often implemented via sharing all hidden features of tasks. A major shortcoming is that it can lead to negative knowledge transfer across tasks when task correlation is weak. To overcome it, this paper proposes an evolutionary method to learn sparse sharing representations adaptively. By embedding the neural network optimization into evolutionary multitasking, our proposed method finds an optimal combination of tasks and sharing features. It can identify negative correlation and redundant features and then remove them from the hidden feature set. Thus, an optimal sparse sharing subnetwork can be produced for each task. Experiment results show that the proposed method achieve better learning performance with a smaller inference model than other related methods.
关键词
相关链接[Scopus记录]
收录类别
EI ; SCI
语种
英语
学校署名
其他
EI入藏号
20232114132647
EI主题词
Deep learning ; Knowledge management ; Multitasking
EI分类号
Ergonomics and Human Factors Engineering:461.4 ; Digital Computers and Systems:722.4 ; Computer Applications:723.5 ; Information Retrieval and Use:903.3
ESI学科分类
COMPUTER SCIENCE
Scopus记录号
2-s2.0-85159829874
来源库
Scopus
全文链接https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10114675
引用统计
被引频次[WOS]:3
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/536728
专题工学院_计算机科学与工程系
作者单位
1.Institute of Big Data Science and Industry, Shanxi University, Taiyuan, China
2.Department of Computer Science, City University of Hong Kong, Hong Kong, Hong Kong
3.the Department of Computer Science and Engineering, Shenzhen Key Laboratory of Computational Intelligence, Southern University of Science and Technology, Shenzhen, China
推荐引用方式
GB/T 7714
Zhang,Yayu,Qian,Yuhua,Ma,Guoshuai,et al. ESSR: Evolving Sparse Sharing Representation for Multi-task Learning[J]. IEEE Transactions on Evolutionary Computation,2023,PP(99):1-1.
APA
Zhang,Yayu.,Qian,Yuhua.,Ma,Guoshuai.,Liang,Xinyan.,Liu,Guoqing.,...&Tang,Ke.(2023).ESSR: Evolving Sparse Sharing Representation for Multi-task Learning.IEEE Transactions on Evolutionary Computation,PP(99),1-1.
MLA
Zhang,Yayu,et al."ESSR: Evolving Sparse Sharing Representation for Multi-task Learning".IEEE Transactions on Evolutionary Computation PP.99(2023):1-1.
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