A novel data-free continual learning method with contrastive reversion
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s13042-023-01922-6.pdf
Reference53 articles.
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3. Zhang W, Wu QMJ, Yang Y et al (2020) Multimodel feature reinforcement framework using Moore-Penrose inverse for big data analysis. IEEE Trans Neural Netw Learn Syst 32(11):5008–5021
4. Zhang W, Yang Y, Wu QMJ et al (2022) Multimodal Moore-Penrose inverse-based recomputation framework for big data analysis. IEEE Trans Neural Netw Learn Syst. https://doi.org/10.1109/TNNLS.2022.3211149
5. French RM (1999) Catastrophic forgetting in connectionist networks. Trends Cogn Sci 3(4):128–135
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