Open Access
Issue |
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
|
|
---|---|---|
Article Number | 09037 | |
Number of page(s) | 8 | |
Section | Artificial Intelligence and Machine Learning | |
DOI | https://doi.org/10.1051/epjconf/202429509037 | |
Published online | 06 May 2024 |
- L. Schmidt et al., Adversarially Robust Generalization Requires More Data, in Advances in Neural Information Processing Systems (2018), Vol. 31 [Google Scholar]
- M. Abdar et al., Information Fusion 76, 243 (2021) [CrossRef] [Google Scholar]
- L.V. Jospin, H. Laga, F. Boussaid, W. Buntine, M. Bennamoun, IEEE Computational Intelligence Magazine 17, 29 (2022) [CrossRef] [Google Scholar]
- Hadsell, Raia and Rao, Dushyant and Rusu, Andrei A. and Pascanu, Razvan, Trends in Cognitive Sciences 24, 1028 (2020) [CrossRef] [Google Scholar]
- D. Rolnick, A. Ahuja, J. Schwarz, T. Lillicrap, G. Wayne, Experience Replay for Continual Learning, in Advances in Neural Information Processing Systems (2019), Vol. 32 [Google Scholar]
- J. Kirkpatrick et al., Proceedings of the National Academy of Sciences 114, 3521 (2017) [Google Scholar]
- The CMS Collaboration (CMS), Tech. rep. (2020), https://cds.cern.ch/record/2714892 [Google Scholar]
- M.A. Wadud (CMS), Tech. rep. (2019), https://cds.cern.ch/record/2797776 [Google Scholar]
- T.O. James (CMS), Tech. rep. (2023), https://cds.cern.ch/record/2852916 [Google Scholar]
- L. Wang, X. Zhang, H. Su, J. Zhu, A Comprehensive Survey of Continual Learning: Theory, Method and Application (2023), 2302.00487 [Google Scholar]
- V. Lomonaco et al., Avalanche: an End-to-End Library for Continual Learning, in 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2021), pp. 3595–3605 [Google Scholar]
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