% Key papers for Meta-augmentation and meta-objectives (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{icml2017_model_36288,
  title = {{Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/495},
}

@inproceedings{iclr2018_a_28399,
  title = {{A Simple Neural Attentive Meta-Learner}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/64},
}

@inproceedings{cvpr2019_task_14899,
  title = {{Task Agnostic Meta-Learning for Few-Shot Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{icml2017_meta_36285,
  title = {{Meta Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/702},
}

@inproceedings{iclr2019_unsupervised_29114,
  title = {{Unsupervised Learning via Meta-Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/901},
}

@inproceedings{icml2019_hierarchically_37424,
  title = {{Hierarchically Structured Meta-learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3627},
}

@inproceedings{iclr2020_meta_29350,
  title = {{Meta-Learning without Memorization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=BklEFpEYwS},
}

@inproceedings{aaai2018_meta_105947,
  title = {{Meta Multi-Task Learning for Sequence Modeling}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/12007},
}

@inproceedings{neurips2019_multimodal_58643,
  title = {{Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14479},
}

@inproceedings{neurips2020_meta_60303,
  title = {{Meta-Learning Requires Meta-Augmentation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18312},
}

@inproceedings{neurips2019_compositional_58018,
  title = {{Compositional generalization through meta sequence-to-sequence learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14007},
}

@inproceedings{iclr2019_transferring_28973,
  title = {{Transferring Knowledge across Learning Processes}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/771},
}

@inproceedings{aaai2021_meta_987,
  title = {{Meta-Transfer Learning for Low-Resource Abstractive Summarization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/12692-meta-transfer-learning-for-low-resource-abstractive-summarization/},
}

@inproceedings{icml2021_improving_39455,
  title = {{Improving Generalization in Meta-learning via Task Augmentation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/9091},
}

@inproceedings{cvpr2023_improving_21232,
  title = {{Improving Generalization of Meta-Learning With Inverted Regularization at Inner-Level}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/20946},
}

@inproceedings{aaai2021_keml_827,
  title = {{KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/13924-keml-a-knowledge-enriched-meta-learning-framework-for-lexical-relation-classification/},
}

@inproceedings{iclr2022_meta_31451,
  title = {{Meta-Learning with Fewer Tasks through Task Interpolation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/7140},
}

@inproceedings{neurips2020_meta_60308,
  title = {{Meta-learning from Tasks with Heterogeneous Attribute Spaces}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17574},
}

@inproceedings{aaai2022_how_2207,
  title = {{How to Distribute Data across Tasks for Meta-Learning?}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/06394-how-to-distribute-data-across-tasks-for-meta-learning/},
}

@inproceedings{cvpr2023_architecture_20399,
  title = {{Architecture, Dataset and Model-Scale Agnostic Data-Free Meta-Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21544},
}

@inproceedings{iclr2024_context_35134,
  title = {{Context-Aware Meta-Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17939},
}

@inproceedings{aaai2024_any_5197,
  title = {{Any-Way Meta Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29242},
}

@inproceedings{icml2026_universal_54837,
  title = {{Universal Algorithm-Implicit Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=tAcVihAkb3},
}

@inproceedings{neurips2025_learning_79706,
  title = {{Learning to Learn with Contrastive Meta-Objective}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=s6YHno8Ke3},
}

@inproceedings{iclr2025_unsupervised_81689,
  title = {{Unsupervised Meta-Learning via In-Context Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30089},
}

@inproceedings{iclr2026_evaluating_84255,
  title = {{Evaluating Data Influence in Meta Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=0gh7haE5tc},
}

@inproceedings{iclr2024_efficient_34403,
  title = {{Efficient Heterogeneous Meta-Learning via Channel Shuffling Modulation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18672},
}

@inproceedings{icml2026_learn_53094,
  title = {{Learn to Merge: Meta-Learning for Adaptive Multi-Task Model Merging}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=c11G7lmfhm},
}

@inproceedings{iclr2026_instance_87096,
  title = {{Instance-wise Adaptive Scheduling via Derivative-Free Meta-Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=XcCqRcHzJ3},
}