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Progress & Compress: A scalable framework for continual learning.

, , , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 4535-4544. PMLR, (2018)

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Functional Regularisation for Continual Learning with Gaussian Processes., , , , and . ICLR, OpenReview.net, (2020)Attentive Neural Processes, , , , , , , and . (2019)cite arxiv:1901.05761.Experience Replay for Continual Learning., , , , and . CoRR, (2018)Designing Urban Participation Platforms - Model for Goal-oriented Classification of Participation Mechanisms., , , , , and . Bled eConference, page 12. University of Maribor Press / Association for Information Systems, (2022)Riemannian SOS-Polynomial Normalizing Flows., , , and . GCPR, volume 12544 of Lecture Notes in Computer Science, page 218-231. Springer, (2020)Powerpropagation: A sparsity inducing weight reparameterisation., , , , and . NeurIPS, page 28889-28903. (2021)Experience Replay for Continual Learning., , , , and . NeurIPS, page 348-358. (2019)The NarrativeQA Reading Comprehension Challenge, , , , , , and . (2017)cite arxiv:1712.07040.Functional Regularisation for Continual Learning, , , , and . (2019)cite arxiv:1901.11356Comment: 12 pages, 2 figures.Modeling Large-Scale Joint Distributions and Inference by Randomized Assignment., , , , , and . SSVM, volume 14009 of Lecture Notes in Computer Science, page 730-742. Springer, (2023)