% Key papers for Gradient projection and plasticity preservation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2018_packnet_13455,
  title = {{PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Mallya_PackNet_Adding_Multiple_CVPR_2018_paper.html},
}

@inproceedings{aaai2018_measuring_102384,
  title = {{Measuring Catastrophic Forgetting in Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11651},
}

@inproceedings{cvpr2022_dytox_18710,
  title = {{DyTox: Transformers for Continual Learning With DYnamic TOken eXpansion}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{iclr2018_fearnet_28594,
  title = {{FearNet: Brain-Inspired Model for Incremental Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/81},
}

@inproceedings{iclr2018_lifelong_28613,
  title = {{Lifelong Learning with Dynamically Expandable Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/37},
}

@inproceedings{cvpr2020_conditional_15270,
  title = {{Conditional Channel Gated Networks for Task-Aware Continual Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_mixed_17415,
  title = {{Mixed-Privacy Forgetting in Deep Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2021_overcoming_1131,
  title = {{Overcoming Catastrophic Forgetting in Graph Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/08653-overcoming-catastrophic-forgetting-in-graph-neural-networks/},
}

@inproceedings{cvpr2021_training_18039,
  title = {{Training Networks in Null Space of Feature Covariance for Continual Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{iclr2019_an_28780,
  title = {{An Empirical Study of Example Forgetting during Deep Neural Network Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/753},
}

@inproceedings{cvpr2020_overcoming_16002,
  title = {{Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{iclr2019_a_28812,
  title = {{A comprehensive, application-oriented study of catastrophic forgetting in DNNs}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/656},
}

@inproceedings{cvpr2021_layerwise_17248,
  title = {{Layerwise Optimization by Gradient Decomposition for Continual Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2020_overcoming_102119,
  title = {{Overcoming Catastrophic Forgetting by Neuron-Level Plasticity Control}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5981},
}

@inproceedings{cvpr2021_hyper_17146,
  title = {{Hyper-LifelongGAN: Scalable Lifelong Learning for Image Conditioned Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{iclr2021_anatomy_30208,
  title = {{Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2907},
}

@inproceedings{neurips2020_calibrating_59503,
  title = {{Calibrating CNNs for Lifelong Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17072},
}

@inproceedings{aaai2024_efficient_5814,
  title = {{Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27817},
}

@inproceedings{neurips2021_learning_61476,
  title = {{Learning where to learn: Gradient sparsity in meta and continual learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/25976},
}

@inproceedings{neurips2021_flattening_63223,
  title = {{Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28165},
}

@inproceedings{neurips2024_a_72486,
  title = {{A Topology-aware Graph Coarsening Framework for Continual Graph Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94876},
}

@inproceedings{iclr2024_how_35437,
  title = {{How connectivity structure shapes rich and lazy learning in neural circuits}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17636},
}

@inproceedings{aaai2025_on_10168,
  title = {{On Local Overfitting and Forgetting in Deep Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34269},
}

@inproceedings{iclr2024_hebbian_34260,
  title = {{Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18815},
}

@inproceedings{icml2025_activation_47660,
  title = {{Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44937},
}

@inproceedings{aaai2026_hicl_107059,
  title = {{HiCL: Hippocampal-Inspired Continual Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39411},
}

@inproceedings{aaai2026_hlml_107590,
  title = {{HLML-SNN：Fast Continual Learning in Spiking Neural Networks Achieved via Hebbian Learning-Driven Meta-Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39942},
}

@inproceedings{aaai2026_distillation_107608,
  title = {{Distillation-Guided Structural Transfer for Continual Learning Beyond Sparse Distributed Memory}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39960},
}

@inproceedings{iclr2024_function_33533,
  title = {{Function-space Parameterization of Neural Networks for Sequential Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19542},
}

@inproceedings{icml2024_slow_44531,
  title = {{Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33921},
}

@inproceedings{icml2024_forget_44857,
  title = {{Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33595},
}

@inproceedings{icml2026_preserving_55074,
  title = {{Preserving Plasticity in Continual Learning via Dynamical Isometry}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=vJCOWSkMuq},
}

@inproceedings{neurips2024_dash_71502,
  title = {{DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95759},
}

@inproceedings{neurips2024_reawakening_72688,
  title = {{Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94697},
}

@inproceedings{neurips2025_auto_78407,
  title = {{Auto-Compressing Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=eIDa6pd9iQ},
}

@inproceedings{neurips2025_spiced_79560,
  title = {{SPICED: A Synaptic Homeostasis-Inspired Framework for Unsupervised Continual EEG Decoding}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=qcdoHkkHcb},
}

@inproceedings{iclr2025_continual_81329,
  title = {{Continual Slow-and-Fast Adaptation of Latent Neural Dynamics (CoSFan): Meta-Learning What-How \& When to Adapt}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30443},
}

@inproceedings{iclr2025_self_81478,
  title = {{Self-Normalized Resets for Plasticity in Continual Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30297},
}

@inproceedings{iclr2025_learning_81559,
  title = {{Learning Continually by Spectral Regularization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30217},
}