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Distilled Replay: Overcoming Forgetting Through Synthetic Samples.

, , , , and . CSSL, volume 13418 of Lecture Notes in Computer Science, page 104-117. Springer, (2021)

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Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization., , and . CoRR, (2020)A Simple Recipe to Meta-Learn Forward and Backward Transfer., , and . ICCV, page 18686-18696. IEEE, (2023)Class-Incremental Learning with Repetition., , , , , , , and . CoLLAs, volume 232 of Proceedings of Machine Learning Research, page 437-455. PMLR, (2023)Sample Condensation in Online Continual Learning., , , and . IJCNN, page 1-8. IEEE, (2022)Improving Online Continual Learning Performance and Stability with Temporal Ensembles., , and . CoLLAs, volume 232 of Proceedings of Machine Learning Research, page 828-845. PMLR, (2023)AI-Toolkit: A Microservices Architecture for Low-Code Decentralized Machine Intelligence., , , , , , , , , and 2 other author(s). ICASSP Workshops, page 1-5. IEEE, (2023)Explicit Memorization for Recurrent Neural Networks with Autoencoders.. DDC@AI*IA, volume 2495 of CEUR Workshop Proceedings, page 95-100. CEUR-WS.org, (2019)Distilled Replay: Overcoming Forgetting Through Synthetic Samples., , , , and . CSSL, volume 13418 of Lecture Notes in Computer Science, page 104-117. Springer, (2021)Avalanche: A PyTorch Library for Deep Continual Learning., , , , and . J. Mach. Learn. Res., (2023)Incremental Training of a Recurrent Neural Network Exploiting a Multi-scale Dynamic Memory., , and . ECML/PKDD (1), volume 12457 of Lecture Notes in Computer Science, page 677-693. Springer, (2020)