% Key papers for Robust fine-tuning of zero-shot models (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2017_zero_12769,
  title = {{Zero-Shot Learning - the Good, the Bad and the Ugly}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{iclr2022_multitask_30945,
  title = {{Multitask Prompted Training Enables Zero-Shot Task Generalization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/7101},
}

@inproceedings{cvpr2018_a_12793,
  title = {{A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Zhu_A_Generative_Adversarial_CVPR_2018_paper.html},
}

@inproceedings{cvpr2022_robust_19754,
  title = {{Robust Fine-Tuning of Zero-Shot Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{icml2019_autovc_37167,
  title = {{AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4214},
}

@inproceedings{aaai2020_learning_103759,
  title = {{Learning Meta Model for Zero- and Few-Shot Face Anti-Spoofing}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6866},
}

@inproceedings{cvpr2023_finetune_21003,
  title = {{Finetune Like You Pretrain: Improved Finetuning of Zero-Shot Vision Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21016},
}

@inproceedings{cvpr2022_intraq_19100,
  title = {{IntraQ: Learning Synthetic Images With Intra-Class Heterogeneity for Zero-Shot Network Quantization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_i2mvformer_21199,
  title = {{I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22823},
}

@inproceedings{aaai2020_cross_99740,
  title = {{Cross-Lingual Pre-Training Based Transfer for Zero-Shot Neural Machine Translation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5341},
}

@inproceedings{cvpr2024_one_24356,
  title = {{One-Prompt to Segment All Medical Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30573},
}

@inproceedings{aaai2021_how_727,
  title = {{How Linguistically Fair Are Multilingual Pre-Trained Language Models?}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/12710-how-linguistically-fair-are-multilingual-pre-trained-language-models/},
}

@inproceedings{aaai2019_zero_99970,
  title = {{Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3857},
}

@inproceedings{cvpr2019_zero_15040,
  title = {{Zero-Shot Task Transfer}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{aaai2020_towards_103031,
  title = {{Towards Zero-Shot Learning for Automatic Phonemic Transcription}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6341},
}

@inproceedings{cvpr2022_it_19108,
  title = {{It's All in the Teacher: Zero-Shot Quantization Brought Closer to the Teacher}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{icml2022_yourtts_41362,
  title = {{YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for Everyone}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/16091},
}

@inproceedings{aaai2022_zero_2965,
  title = {{Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/04441-zero-shot-audio-source-separation-through-query-based-learning-from-weakly-labeled-data/},
}

@inproceedings{cvpr2023_hard_21135,
  title = {{Hard Sample Matters a Lot in Zero-Shot Quantization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21643},
}

@inproceedings{iclr2021_improving_30342,
  title = {{Improving Zero-Shot Voice Style Transfer via Disentangled Representation Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/3306},
}

@inproceedings{aaai2024_zero_7842,
  title = {{Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28684},
}

@inproceedings{cvpr2025_logits_26814,
  title = {{Logits DeConfusion with CLIP for Few-Shot Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32475},
}

@inproceedings{cvpr2024_unified_25137,
  title = {{Unified Language-driven Zero-shot Domain Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31168},
}

@inproceedings{aaai2026_dual_100047,
  title = {{Dual-Channel Learning Framework for Zero-Shot CircRNA-miRNA Interaction Prediction via State Space Modeling}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37098},
}

@inproceedings{cvpr2024_protect_24516,
  title = {{ProTeCt: Prompt Tuning for Taxonomic Open Set Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29389},
}

@inproceedings{neurips2024_pretrained_73235,
  title = {{Pretrained Optimization Model for Zero-Shot Black Box Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94202},
}

@inproceedings{aaai2024_enhancing_5864,
  title = {{Enhancing Zero-Shot Multi-Speaker TTS with Negated Speaker Representations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29793},
}

@inproceedings{neurips2024_otter_72193,
  title = {{OTTER: Effortless Label Distribution Adaptation of Zero-shot Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95148},
}

@inproceedings{aaai2025_fair_9131,
  title = {{Fair Training with Zero Inputs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32676},
}

@inproceedings{neurips2024_dual_73933,
  title = {{Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93578},
}

@inproceedings{aaai2024_zero_7844,
  title = {{Zero-Shot Task Adaptation with Relevant Feature Information}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29229},
}

@inproceedings{aaai2025_ebbs_8858,
  title = {{EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34737},
}

@inproceedings{iclr2024_a_34151,
  title = {{A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18924},
}

@inproceedings{iclr2024_zero_34880,
  title = {{Zero-Shot Robustification of Zero-Shot Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18194},
}

@inproceedings{iclr2024_gen_35387,
  title = {{Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17686},
}

@inproceedings{icml2024_learning_45481,
  title = {{Learning to Route Among Specialized Experts for Zero-Shot Generalization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32970},
}

@inproceedings{icml2025_zero_48662,
  title = {{Zero-shot Meta-learning for Tabular Prediction Tasks with Adversarially Pre-trained Transformer}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43960},
}

@inproceedings{neurips2024_robust_72482,
  title = {{Robust Fine-tuning of Zero-shot Models via Variance Reduction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94879},
}

@inproceedings{neurips2024_listenable_73664,
  title = {{Listenable Maps for Zero-Shot Audio Classifiers}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93828},
}