题名 | ESSR: Evolving Sparse Sharing Representation for Multi-task Learning |
作者 | |
发表日期 | 2023
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DOI | |
发表期刊 | |
ISSN | 1089-778X
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EISSN | 1941-0026
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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 | |
语种 | 英语
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学校署名 | 其他
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EI入藏号 | 20232114132647
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EI主题词 | Deep learning
; Knowledge management
; Multitasking
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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
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ESI学科分类 | COMPUTER SCIENCE
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Scopus记录号 | 2-s2.0-85159829874
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来源库 | Scopus
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全文链接 | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10114675 |
引用统计 |
被引频次[WOS]:3
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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.
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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.
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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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条目包含的文件 | 条目无相关文件。 |
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