% Key papers for Few-shot class-incremental prototypes (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{cvpr2020_few_15542, title = {{Few-Shot Class-Incremental Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2021_few_17019, title = {{Few-Shot Incremental Learning With Continually Evolved Classifiers}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{cvpr2022_forward_18877, title = {{Forward Compatible Few-Shot Class-Incremental Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2021_semantic_17873, title = {{Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{cvpr2021_self_17846, title = {{Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{cvpr2022_metafscil_19336, title = {{MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2022_constrained_18502, title = {{Constrained Few-Shot Class-Incremental Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{aaai2021_few_613, title = {{Few-Shot Class-Incremental Learning via Relation Knowledge Distillation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/01255-few-shot-class-incremental-learning-via-relation-knowledge-distillation/}, } @inproceedings{aaai2021_few_614, title = {{Few-Shot Lifelong Learning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/02337-few-shot-lifelong-learning/}, } @inproceedings{cvpr2023_learning_21419, title = {{Learning With Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/22989}, } @inproceedings{cvpr2023_few_20990, title = {{Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/21163}, } @inproceedings{cvpr2023_class_20587, title = {{Class-Incremental Exemplar Compression 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/21505}, } @inproceedings{cvpr2023_gkeal_21045, title = {{GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/21428}, } @inproceedings{cvpr2024_orco_24384, title = {{OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30726}, } @inproceedings{iclr2022_subspace_31468, title = {{Subspace Regularizers for Few-Shot Class Incremental Learning}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2022}, url = {https://iclr.cc/virtual/2022/poster/7151}, } @inproceedings{iclr2021_incremental_29980, title = {{Incremental few-shot learning via vector quantization in deep embedded space}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2021}, url = {https://iclr.cc/virtual/2021/poster/2948}, } @inproceedings{neurips2023_few_67045, title = {{Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2023}, url = {https://nips.cc/virtual/2023/poster/72653}, } @inproceedings{neurips2019_incremental_58407, title = {{Incremental Few-Shot Learning with Attention Attractor Networks}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/13665}, } @inproceedings{cvpr2022_doodle_18695, title = {{Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{iclr2023_neural_33396, title = {{Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2023}, url = {https://iclr.cc/virtual/2023/poster/12186}, } @inproceedings{aaai2024_m2sd_6558, title = {{M2SD:Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28129}, } @inproceedings{aaai2025_adaptive_8026, title = {{Adaptive Decision Boundary for Few-Shot Class-Incremental Learning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/34020}, } @inproceedings{aaai2025_pseudo_10400, title = {{Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33729}, } @inproceedings{cvpr2025_sec_27512, title = {{SEC-Prompt:SEmantic Complementary Prompting for Few-Shot Class-Incremental Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/32859}, } @inproceedings{neurips2024_an_73115, title = {{An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/94314}, } @inproceedings{aaai2025_anchorinv_8125, title = {{AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Feature Space-Guided Inversion}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33563}, } @inproceedings{cvpr2025_attraction_25523, title = {{Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/35177}, } @inproceedings{cvpr2025_tripartite_27954, title = {{Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/34859}, } @inproceedings{icml2024_compositional_45570, title = {{Compositional Few-Shot Class-Incremental Learning}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/32882}, } @inproceedings{neurips2025_diffusion_79955, title = {{Diffusion-Classifier Synergy: Reward-Aligned Learning via Mutual Boosting Loop for FSCIL}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=ub5QBBQ47S}, } @inproceedings{iclr2026_safa_85048, title = {{SAFA-SNN: Sparsity-Aware On-Device Few-Shot Class-Incremental Learning with Fast-Adaptive Structure of Spiking Neural Network}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2026}, url = {https://openreview.net/forum?id=9jcB40wjk3}, } @inproceedings{iclr2026_consistency_86105, title = {{Consistency-Driven Calibration and Matching for Few-Shot Class Incremental Learning}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2026}, url = {https://openreview.net/forum?id=LxO83jNZKk}, } @inproceedings{cvpr2026_hycal_95942, title = {{HyCal: A Training-Free Prototype Calibration Method for Cross-Discipline Few-Shot Class-Incremental Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2026}, url = {https://openaccess.thecvf.com/content/CVPR2026/html/Lee_HyCal_A_Training-Free_Prototype_Calibration_Method_for_Cross-Discipline_Few-Shot_Class-Incremental_CVPR_2026_paper.html}, } @inproceedings{iclr2025_federated_82593, title = {{Federated Few-Shot Class-Incremental Learning}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/29204}, } @inproceedings{iclr2025_prototype_82689, title = {{Prototype antithesis for biological few-shot class-incremental learning}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/29109}, } @inproceedings{iclr2026_point_87808, title = {{Point-UQ: An Uncertainty-Quantification Paradigm for Point Cloud Few-Shot Class Incremental Learning}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2026}, url = {https://openreview.net/forum?id=fhVfyiiAqt}, } @inproceedings{cvpr2026_quantized_95641, title = {{Quantized Residuals to Continuous Prompts for Few-Shot Class Incremental Learning in Vision-Language Models}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2026}, url = {https://openaccess.thecvf.com/content/CVPR2026/html/Sinha_Quantized_Residuals_to_Continuous_Prompts_for_Few-Shot_Class_Incremental_Learning_CVPR_2026_paper.html}, } @inproceedings{cvpr2026_semantic_96809, title = {{Semantic-Guided Global-Local Collaborative Prompt Learning for Few-Shot Class Incremental Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2026}, url = {https://openaccess.thecvf.com/content/CVPR2026/html/Yan_Semantic-Guided_Global-Local_Collaborative_Prompt_Learning_for_Few-Shot_Class_Incremental_Learning_CVPR_2026_paper.html}, } @inproceedings{cvpr2026_tape_98459, title = {{TAPE: Task-Adaptive Prototype Evolution in Audio-Language Models for Fully Few-shot Class-incremental Audio Classification}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2026}, url = {https://openaccess.thecvf.com/content/CVPR2026/html/Gao_TAPE_Task-Adaptive_Prototype_Evolution_in_Audio-Language_Models_for_Fully_Few-shot_CVPR_2026_paper.html}, }