% Key papers for Alignment-based few-shot metric learning (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2020_adversarial_15129,
  title = {{Adversarial Feature Hallucination Networks for Few-Shot Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_boosting_15208,
  title = {{Boosting Few-Shot Learning With Adaptive Margin Loss}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_instance_15692,
  title = {{Instance Credibility Inference for Few-Shot Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2021_learning_901,
  title = {{Learning a Few-shot Embedding Model with Contrastive Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/08635-learning-a-few-shot-embedding-model-with-contrastive-learning/},
}

@inproceedings{cvpr2021_learning_17273,
  title = {{Learning Dynamic Alignment via Meta-Filter for Few-Shot Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_exploring_16976,
  title = {{Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2022_learning_19209,
  title = {{Learning To Affiliate: Mutual Centralized Learning for Few-Shot Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_generating_18927,
  title = {{Generating Representative Samples for Few-Shot Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_transductive_22408,
  title = {{Transductive Few-Shot Learning With Prototype-Based Label Propagation by Iterative Graph Refinement}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22285},
}

@inproceedings{cvpr2021_few_17021,
  title = {{Few-Shot Open-Set Recognition by Transformation Consistency}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2022_ease_18723,
  title = {{EASE: Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{iclr2021_iept_30761,
  title = {{IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2770},
}

@inproceedings{aaai2022_dmn4_1916,
  title = {{DMN4: Few-Shot Learning via Discriminative Mutual Nearest Neighbor Neural Network}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/01828-dmn4-few-shot-learning-via-discriminative-mutual-nearest-neighbor-neural-network/},
}

@inproceedings{aaai2021_tailoring_1464,
  title = {{Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/08776-tailoring-embedding-function-to-heterogeneous-few-shot-tasks-by-global-and-local-feature-adaptors/},
}

@inproceedings{aaai2024_strong_7425,
  title = {{Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28978},
}

@inproceedings{cvpr2023_hubs_21180,
  title = {{Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning With Hyperspherical Embeddings}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21338},
}

@inproceedings{aaai2024_boosting_5308,
  title = {{Boosting Few-Shot Learning via Attentive Feature Regularization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28614},
}

@inproceedings{aaai2024_task_7500,
  title = {{Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28416},
}

@inproceedings{aaai2024_collaborative_5416,
  title = {{Collaborative Consortium of Foundation Models for Open-World Few-Shot Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28275},
}

@inproceedings{cvpr2024_deil_23117,
  title = {{DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31303},
}

@inproceedings{aaai2024_scaling_7264,
  title = {{Scaling Few-Shot Learning for the Open World}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29291},
}

@inproceedings{aaai2024_pushing_7029,
  title = {{Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29024},
}

@inproceedings{cvpr2024_instance_23814,
  title = {{Instance-based Max-margin for Practical Few-shot Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29970},
}

@inproceedings{iclr2024_beclr_35081,
  title = {{BECLR: Batch Enhanced Contrastive Few-Shot Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17992},
}

@inproceedings{iclr2024_metacoco_33942,
  title = {{MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19133},
}

@inproceedings{aaai2025_fsl_9117,
  title = {{FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33697},
}

@inproceedings{neurips2025_evolving_75651,
  title = {{Evolving and Regularizing Meta-Environment Learner for Fine-Grained Few-Shot Class-Incremental Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=AU2eaY2QEu},
}

@inproceedings{neurips2025_dual_79530,
  title = {{Dual Alignment Framework for Few-shot Learning with Inter-Set and Intra-Set Shifts}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=qMWD6qYHdk},
}

@inproceedings{aaai2026_mpa_107557,
  title = {{MPA: Multimodal Prototype Augmentation for Few-Shot Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39909},
}

@inproceedings{icml2024_meta_43794,
  title = {{Meta Evidential Transformer for Few-Shot Open-Set Recognition}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34658},
}