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Continual learning for recurrent neural networks: An empirical evaluation., , , and . Neural Networks, (2021)Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark., , , and . Frontiers Artif. Intell., (2022)Practical Recommendations for Replay-Based Continual Learning Methods., , , , and . ICIAP Workshops, volume 13374 of Lecture Notes in Computer Science, page 548-559. Springer, (2022)Deep Continual Learning (Dagstuhl Seminar 23122)., , , , and . Dagstuhl Reports, 13 (3): 74-91 (March 2023)Continual Pre-Training Mitigates Forgetting in Language and Vision., , , , , and . CoRR, (2022)Avalanche: A PyTorch Library for Deep Continual Learning., , , , and . CoRR, (2023)Distilled Replay: Overcoming Forgetting Through Synthetic Samples., , , , and . CSSL, volume 13418 of Lecture Notes in Computer Science, page 104-117. Springer, (2021)Projected Latent Distillation for Data-Agnostic Consolidation in Distributed Continual Learning., , , , and . CoRR, (2023)Ex-Model: Continual Learning from a Stream of Trained Models., , , and . CoRR, (2021)Continual Learning: Applications and the Road Forward., , , , , , , , , and 10 other author(s). CoRR, (2023)