% Key papers for Replay buffer construction and update (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2019_experience_58233,
  title = {{Experience Replay for Continual Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13274},
}

@inproceedings{aaai2018_selective_102328,
  title = {{Selective Experience Replay for Lifelong Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11595},
}

@inproceedings{cvpr2021_rainbow_17696,
  title = {{Rainbow Memory: Continual Learning With a Memory of Diverse Samples}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{neurips2018_memory_57367,
  title = {{Memory Replay GANs: Learning to Generate New Categories without Forgetting}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11579},
}

@inproceedings{aaai2021_using_1601,
  title = {{Using Hindsight to Anchor Past Knowledge in Continual Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/06993-using-hindsight-to-anchor-past-knowledge-in-continual-learning/},
}

@inproceedings{aaai2021_overcoming_1132,
  title = {{Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/04714-overcoming-catastrophic-forgetting-in-graph-neural-networks-with-experience-replay/},
}

@inproceedings{neurips2019_episodic_58218,
  title = {{Episodic Memory in Lifelong Language Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14256},
}

@inproceedings{neurips2019_gradient_58347,
  title = {{Gradient based sample selection for online continual learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14157},
}

@inproceedings{cvpr2021_ordisco_17520,
  title = {{ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{iclr2022_new_31196,
  title = {{New Insights on Reducing Abrupt Representation Change in Online Continual Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/7188},
}

@inproceedings{iclr2022_memory_31437,
  title = {{Memory Replay with Data Compression for Continual Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/5928},
}

@inproceedings{neurips2021_gradient_62856,
  title = {{Gradient-based Editing of Memory Examples for Online Task-free Continual Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26257},
}

@inproceedings{cvpr2023_regularizing_22024,
  title = {{Regularizing Second-Order Influences for Continual Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22831},
}

@inproceedings{aaai2024_summarizing_7439,
  title = {{Summarizing Stream Data for Memory-Constrained Online Continual Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29111},
}

@inproceedings{iclr2022_information_31114,
  title = {{Information-theoretic Online Memory Selection for Continual Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/5961},
}

@inproceedings{neurips2024_saliency_70750,
  title = {{Saliency-driven Experience Replay for Continual Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96375},
}

@inproceedings{cvpr2024_defense_23135,
  title = {{Defense without Forgetting: Continual Adversarial Defense with Anisotropic \& Isotropic Pseudo Replay}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29905},
}

@inproceedings{aaai2023_learn_3983,
  title = {{Learn from Yesterday: A Semi-supervised Continual Learning Method for Supervision-Limited Text-to-SQL Task Streams}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26492},
}

@inproceedings{aaai2024_the_7549,
  title = {{The Inter-batch Diversity of Samples in Experience Replay for Continual Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30398},
}

@inproceedings{neurips2023_prompt_67825,
  title = {{Prompt-augmented Temporal Point Process for Streaming Event Sequence}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71934},
}

@inproceedings{icml2024_layerwise_44174,
  title = {{Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34278},
}

@inproceedings{neurips2025_gradient_76778,
  title = {{Gradient-Guided Epsilon Constraint Method for Online Continual Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=MuhYHqLDZT},
}

@inproceedings{neurips2026_trust_89837,
  title = {{Trust Region Continual Learning as an Implicit Meta-Learner}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/148571},
}

@inproceedings{aaai2026_perturbing_107777,
  title = {{Perturbing to Preserve: Defending Fragile Knowledge in Online Continual Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/40129},
}

@inproceedings{icml2024_mitigating_45380,
  title = {{Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33071},
}

@inproceedings{icml2026_beyond_53154,
  title = {{Beyond Buffer Limits: Energy-Based Data Reassembly for Continual Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=cbicSAXMWQ},
}

@inproceedings{cvpr2026_smart_99323,
  title = {{Smart Replay: Adaptive Scheduling of Memory Rehearsal for Computational Resource-Aware Incremental Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Chen_Smart_Replay_Adaptive_Scheduling_of_Memory_Rehearsal_for_Computational_Resource-Aware_CVPR_2026_paper.html},
}