% Key papers for Exemplar-efficient class-incremental learning (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2017_icarl_12771,
  title = {{iCaRL: Incremental Classifier and Representation Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2019_learning_14427,
  title = {{Learning Without Memorizing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_mnemonics_15897,
  title = {{Mnemonics Training: Multi-Class Incremental Learning Without Forgetting}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_federated_18843,
  title = {{Federated Class-Incremental Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2021_adaptive_16568,
  title = {{Adaptive Aggregation Networks for Class-Incremental Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2022_class_18459,
  title = {{Class-Incremental Learning by Knowledge Distillation With Adaptive Feature Consolidation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_self_19839,
  title = {{Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2024_expandable_23404,
  title = {{Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30307},
}

@inproceedings{cvpr2022_class_18458,
  title = {{Class-Incremental Learning With Strong Pre-Trained Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_dense_20768,
  title = {{Dense Network Expansion for Class Incremental Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22795},
}

@inproceedings{neurips2021_class_61469,
  title = {{Class-Incremental Learning via Dual Augmentation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28615},
}

@inproceedings{aaai2017_streaming_104465,
  title = {{Streaming Classification with Emerging New Class by Class Matrix Sketching}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10842},
}

@inproceedings{cvpr2023_on_21765,
  title = {{On the Stability-Plasticity Dilemma of Class-Incremental Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21891},
}

@inproceedings{cvpr2022_mimicking_19339,
  title = {{Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2024_gradient_23639,
  title = {{Gradient Reweighting: Towards Imbalanced Class-Incremental Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31033},
}

@inproceedings{iclr2023_a_32597,
  title = {{A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11837},
}

@inproceedings{cvpr2022_bring_18398,
  title = {{Bring Evanescent Representations to Life in Lifelong Class Incremental Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2024_ds_5577,
  title = {{DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29670},
}

@inproceedings{aaai2023_online_4295,
  title = {{Online Hyperparameter Optimization for Class-Incremental Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26070},
}

@inproceedings{cvpr2024_class_22968,
  title = {{Class Incremental Learning with Multi-Teacher Distillation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31878},
}

@inproceedings{cvpr2024_fcs_23428,
  title = {{FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30888},
}

@inproceedings{cvpr2024_generative_23611,
  title = {{Generative Multi-modal Models are Good Class Incremental Learners}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30169},
}

@inproceedings{aaai2024_etag_7847,
  title = {{eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29153},
}

@inproceedings{cvpr2025_task_27826,
  title = {{Task-Agnostic Guided Feature Expansion for Class-Incremental Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34340},
}

@inproceedings{aaai2025_mos_9866,
  title = {{MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34281},
}

@inproceedings{cvpr2024_text_24986,
  title = {{Text-Enhanced Data-free Approach for Federated Class-Incremental Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31537},
}

@inproceedings{cvpr2024_dual_23283,
  title = {{Dual-Consistency Model Inversion for Non-Exemplar Class Incremental Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31345},
}

@inproceedings{cvpr2024_long_24026,
  title = {{Long-Tail Class Incremental Learning via Independent Sub-prototype Construction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30931},
}

@inproceedings{aaai2024_non_6787,
  title = {{Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29165},
}

@inproceedings{cvpr2024_dyson_23103,
  title = {{DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29247},
}

@inproceedings{aaai2024_cross_5523,
  title = {{Cross-Class Feature Augmentation for Class Incremental Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29216},
}

@inproceedings{neurips2024_gacl_71981,
  title = {{GACL: Exemplar-Free Generalized Analytic Continual Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95330},
}

@inproceedings{cvpr2024_task_24959,
  title = {{Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29407},
}

@inproceedings{cvpr2025_reducing_27420,
  title = {{Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33541},
}

@inproceedings{aaai2024_pairwise_6913,
  title = {{Pairwise-Label-Based Deep Incremental Hashing with Simultaneous Code Expansion}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28768},
}

@inproceedings{cvpr2025_dynamic_26042,
  title = {{Dynamic Integration of Task-Specific Adapters for Class Incremental Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34532},
}