% Key papers for Embedding adaptation for few-shot classification (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2017_prototypical_56599,
  title = {{Prototypical Networks for Few-shot Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9188},
}

@inproceedings{cvpr2018_dynamic_13044,
  title = {{Dynamic Few-Shot Visual Learning Without Forgetting}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Gidaris_Dynamic_Few-Shot_Visual_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_few_15544,
  title = {{Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{iclr2018_meta_28515,
  title = {{Meta-Learning for Semi-Supervised Few-Shot Classification}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/88},
}

@inproceedings{cvpr2019_revisiting_14740,
  title = {{Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_few_13115,
  title = {{Few-Shot Image Recognition by Predicting Parameters From Activations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Qiao_Few-Shot_Image_Recognition_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_adaptive_15124,
  title = {{Adaptive Subspaces for Few-Shot Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_few_17016,
  title = {{Few-Shot Classification With Feature Map Reconstruction Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2022_joint_19117,
  title = {{Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2018_delta_57022,
  title = {{Delta-encoder: an effective sample synthesis method for few-shot object recognition}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11291},
}

@inproceedings{aaai2019_distribution_103488,
  title = {{Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4885},
}

@inproceedings{cvpr2020_improved_15678,
  title = {{Improved Few-Shot Visual Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2019_few_14212,
  title = {{Few-Shot Learning via Saliency-Guided Hallucination of Samples}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2019_dense_14065,
  title = {{Dense Classification and Implanting for Few-Shot Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{iclr2019_a_28950,
  title = {{A Closer Look at Few-shot Classification}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/980},
}

@inproceedings{iclr2021_free_30182,
  title = {{Free Lunch for Few-shot Learning: Distribution Calibration}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2633},
}

@inproceedings{cvpr2019_few_14211,
  title = {{Few-Shot Learning With Localization in Realistic Settings}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{neurips2019_cross_58065,
  title = {{Cross Attention Network for Few-shot Classification}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13562},
}

@inproceedings{cvpr2018_low_13350,
  title = {{Low-Shot Learning With Large-Scale Diffusion}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Douze_Low-Shot_Learning_With_CVPR_2018_paper.html},
}

@inproceedings{cvpr2022_matching_19320,
  title = {{Matching Feature Sets for Few-Shot Image Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2024_discriminative_23228,
  title = {{Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30189},
}

@inproceedings{aaai2024_self_7289,
  title = {{Self-Prompt Mechanism for Few-Shot Image Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28297},
}

@inproceedings{aaai2024_featwalk_5977,
  title = {{FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27862},
}

@inproceedings{neurips2024_d2r2_73662,
  title = {{D2R2: Diffusion-based Representation with Random Distance Matching for Tabular Few-shot Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93830},
}

@inproceedings{aaai2024_few_6009,
  title = {{Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28079},
}

@inproceedings{aaai2025_multi_10016,
  title = {{Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32578},
}

@inproceedings{cvpr2025_single_27681,
  title = {{Single Domain Generalization for Few-Shot Counting via Universal Representation Matching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33402},
}

@inproceedings{neurips2025_weak_79057,
  title = {{Weak-shot Keypoint Estimation via Keyness and Correspondence Transfer}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=l8QMnn6wfb},
}

@inproceedings{icml2025_provably_46969,
  title = {{Provably Improving Generalization of Few-shot models with Synthetic Data}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45612},
}

@inproceedings{icml2024_mokd_45008,
  title = {{MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33444},
}

@inproceedings{iclr2026_exploiting_85689,
  title = {{Exploiting Low-Dimensional Manifold of Features for Few-shot Whole Slide Image Classification}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=HBP9uSEYME},
}

@inproceedings{cvpr2026_ddsf_98984,
  title = {{DDSF: Robust Few-Shot Learning via Disentangled Subspaces with Determinantal Point Process}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Ye_DDSF_Robust_Few-Shot_Learning_via_Disentangled_Subspaces_with_Determinantal_Point_CVPR_2026_paper.html},
}