A Comprehensive Survey of Continual Learning: Theory, Method and Application-Reference-Cited by-同舟云学术

A Comprehensive Survey of Continual Learning: Theory, Method and Application

Published:2024-08 Issue:8 Volume:46 Page:5362-5383
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Wang Liyuan¹^ORCID,Zhang Xingxing¹^ORCID,Su Hang¹^ORCID,Zhu Jun¹^ORCID

Affiliation:

1. Department of Computer Science & Technology, Institute for AI, BNRist Center, THBI Lab, Tsinghua-Bosch Joint Center for ML, Tsinghua University, Beijing, China

Funder

National Natural Science Foundation of China

BNRist

Tsinghua Institute for Guo Qiang

Tsinghua-OPPO Joint Research Center for Future Terminal Technology

High Performance Computing Center

Tsinghua University

Postdoctoral Fellowship Program of CPSF

Shuimu Tsinghua Scholar

New Cornerstone Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/34/10582780/10444954.pdf?arnumber=10444954

Reference318 articles.

1. Biological underpinnings for lifelong learning machines

2. Continual lifelong learning with neural networks: A review

3. Embracing Change: Continual Learning in Deep Neural Networks

4. Three scenarios for continual learning;Van de Ven,2019

5. Lifelong Machine Learning

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