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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 5
1292-1302

Review of catastrophic forgetting problems solving strategies for continual learning under non-stationary data streams

Yuan Kun1a
Zhang Xiuhua2
Pu Jiang2
Yang Jing1b
Li Bin1a
Li Shaobo1b
1. a. School of Mechanical Engineering, b. State Key Laboratory of Public Big Data, Guizhou University, Guiyang 550025, China
2. School of Physics & Mechantronic Engineering, Guizhou Minzu University, Guiyang 550025, China
DOI: 10.19734/j.issn.1001-3695.2022.10.0495

Abstract

Continual learning, as a special machine learning paradigm that continuously learns new tasks in non-stationary data streams and can maintain the performance of old tasks, is a hot research topic in fields such as visual computing and autonomous robotics, but at this stage, the catastrophic forgetting problem is still a great challenge for continuous learning. This paper conducted a review study on the catastrophic forgetting problem of continual learning, analyzed the mechanism of catastrophic forgetting problem mitigation and explored the catastrophic forgetting problem solving strategies at three levels, included regularization strategy, replay strategy, dynamic architecture strategy and joint strategy, in terms of model parameters, training data and network architecture. According to the existing literature, this paper condensed the evaluation index of the catastrophic forgetting method and compared the performance of solving strategies for different catastrophic forgetting problems. Finally, it pointed out the future research direction of continual learning, to provide references for the study of continuous learning catastrophic forgetting problems.

Foundation Support

国家重点研发计划资助项目(2018AAA0101800)
国家自然科学基金资助项目(62166005)
教育部重点实验室开放项目(黔教合KY字［2020］245
黔教合KY字［2020］248)
贵州省高层次留学人才项目(高层次人才择优资助项目202109号)
贵州省自然科学基金资助项目(黔科合基础-ZK［2022］一般130)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.10.0495
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 5
Section: Survey
Pages: 1292-1302
Serial Number: 1001-3695(2023)05-002-1292-11

Publish History

[2022-12-30] Accepted Paper
[2023-05-05] Printed Article

Cite This Article

袁坤, 张秀华, 溥江, 等. 非平稳数据流下的持续学习灾难性遗忘问题求解策略综述 [J]. 计算机应用研究, 2023, 40 (5): 1292-1302. (Yuan Kun, Zhang Xiuhua, Pu Jiang, et al. Review of catastrophic forgetting problems solving strategies for continual learning under non-stationary data streams [J]. Application Research of Computers, 2023, 40 (5): 1292-1302. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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