% Key papers for Class-balanced knowledge retention (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2019_large_14375,
  title = {{Large Scale Incremental Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2019_learning_14430,
  title = {{Learning a Unified Classifier Incrementally via Rebalancing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_maintaining_15868,
  title = {{Maintaining Discrimination and Fairness in Class Incremental Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_prototype_17669,
  title = {{Prototype Augmentation and Self-Supervision for Incremental Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2020_semantic_16218,
  title = {{Semantic Drift Compensation for Class-Incremental Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2021_online_1110,
  title = {{Online Class-Incremental Continual Learning with Adversarial Shapley Value}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/09630-online-class-incremental-continual-learning-with-adversarial-shapley-value/},
}

@inproceedings{cvpr2020_incremental_15687,
  title = {{Incremental Learning in Online Scenario}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_distilling_16881,
  title = {{Distilling Causal Effect of Data in Class-Incremental Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2023_pcr_21802,
  title = {{PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21409},
}

@inproceedings{cvpr2022_not_19474,
  title = {{Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2021_efficient_16933,
  title = {{Efficient Feature Transformations for Discriminative and Generative Continual Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_rectification_17717,
  title = {{Rectification-Based Knowledge Retention for Continual Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2022_energy_18762,
  title = {{Energy-Based Latent Aligner for Incremental Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2021_continual_313,
  title = {{Continual Learning by Using Information of Each Class Holistically}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/07797-continual-learning-by-using-information-of-each-class-holistically/},
}

@inproceedings{cvpr2022_learning_19219,
  title = {{Learning To Imagine: Diversify Memory for Incremental Learning Using Unlabeled Data}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2021_incremental_17183,
  title = {{Incremental Learning via Rate Reduction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2022_continual_18512,
  title = {{Continual Learning for Visual Search With Backward Consistent Feature Embedding}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2018_low_57350,
  title = {{Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11118},
}

@inproceedings{cvpr2024_resurrecting_24626,
  title = {{Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29578},
}

@inproceedings{aaai2021_split_1414,
  title = {{Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/08137-split-and-bridge-adaptable-class-incremental-learning-within-a-single-neural-network/},
}

@inproceedings{cvpr2024_solving_24853,
  title = {{Solving the Catastrophic Forgetting Problem in Generalized Category Discovery}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31485},
}

@inproceedings{aaai2024_fine_6019,
  title = {{Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28523},
}

@inproceedings{aaai2024_adaptive_5127,
  title = {{Adaptive Discovering and Merging for Incremental Novel Class Discovery}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29006},
}

@inproceedings{aaai2025_maintaining_9894,
  title = {{Maintaining Fairness in Logit-based Knowledge Distillation for Class-Incremental Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33842},
}

@inproceedings{neurips2024_happy_73405,
  title = {{Happy: A Debiased Learning Framework for Continual Generalized Category Discovery}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94052},
}

@inproceedings{cvpr2024_nice_24245,
  title = {{NICE: Neurogenesis Inspired Contextual Encoding for Replay-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/31119},
}

@inproceedings{aaai2025_prototypical_10396,
  title = {{Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34651},
}

@inproceedings{neurips2024_black_73697,
  title = {{Black-Box Forgetting}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93800},
}

@inproceedings{aaai2026_goal_100716,
  title = {{GOAL: Geometrically Optimal Alignment for Continual Generalized Category Discovery}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/42456},
}

@inproceedings{icml2025_a_46448,
  title = {{A Selective Learning Method for Temporal Graph Continual Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46118},
}

@inproceedings{icml2025_continual_46900,
  title = {{Continual Generalized Category Discovery: Learning and Forgetting from a Bayesian Perspective}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45679},
}

@inproceedings{neurips2024_f_74082,
  title = {{F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93448},
}

@inproceedings{neurips2025_knowledge_77328,
  title = {{Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=SeC5Zb8Orf},
}

@inproceedings{iclr2026_decoupling_87115,
  title = {{Decoupling the Class Label and the Target Concept in Machine Unlearning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=Xpj0yeMhpz},
}

@inproceedings{iclr2026_lifelong_88895,
  title = {{Lifelong Learning with Behavior Consolidation for Vehicle Routing}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=sEdGLzgf6s},
}

@inproceedings{neurips2026_data_90847,
  title = {{Data-Free Reservoir Features for Efficient Long-Horizon Cold-Start Continual Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/154499},
}

@inproceedings{neurips2026_mist_95310,
  title = {{MIST: Reliable Streaming Decision Trees for Online Class-Incremental Learning via McDiarmid Bound}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/151675},
}

@inproceedings{cvpr2026_talon_95649,
  title = {{TALON: Test-time Adaptive Learning for On-the-Fly Category Discovery}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Wu_TALON_Test-time_Adaptive_Learning_for_On-the-Fly_Category_Discovery_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_unlocking_96458,
  title = {{Unlocking Positive Transfer in Incrementally Learning Surgical Instruments: A Self-reflection Hierarchical Prompt Framework}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Zhu_Unlocking_Positive_Transfer_in_Incrementally_Learning_Surgical_Instruments_A_Self-reflection_CVPR_2026_paper.html},
}