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author =       "Albert Einstein",
title =        "{Zur Elektrodynamik bewegter Körper}",
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volume =       "322",
number =       "10",
pages =        "891--921",
year =         "1905"}

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  title={Learning transferable visual models from natural language supervision},
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  booktitle={International Conference on Machine Learning},
  pages={8748--8763},
  year={2021},
  organization={PMLR}
}

@inproceedings{cho2021unifying,
  title={Unifying vision-and-language tasks via text generation},
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  pages={1931--1942},
  year={2021},
  organization={PMLR}
}

@article{wang2021simvlm,
  title={Simvlm: Simple visual language model pretraining with weak supervision},
  author={Wang, Zirui and Yu, Jiahui and Yu, Adams Wei and Dai, Zihang and Tsvetkov, Yulia and Cao, Yuan},
  journal={arXiv preprint arXiv:2108.10904},
  year={2021}
}

@inproceedings{wang2023improving,
  title={Improving zero-shot generalization for clip with synthesized prompts},
  author={Wang, Zhengbo and Liang, Jian and He, Ran and Xu, Nan and Wang, Zilei and Tan, Tieniu},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={3032--3042},
  year={2023}
}

@article{li2022blip,
  title={Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation},
  author={Li, Junnan and Li, Dongxu and Xiong, Caiming and Hoi, Steven},
  journal={arXiv preprint arXiv:2201.12086},
  year={2022}
}

@article{zhou2022learning,
  title={Learning to prompt for vision-language models},
  author={Zhou, Kaiyang and Yang, Jingkang and Loy, Chen Change and Liu, Ziwei},
  journal={International Journal of Computer Vision},
  volume={130},
  number={9},
  pages={2337--2348},
  year={2022},
  publisher={Springer}
}

@inproceedings{zhou2022conditional,
  title={Conditional prompt learning for vision-language models},
  author={Zhou, Kaiyang and Yang, Jingkang and Loy, Chen Change and Liu, Ziwei},
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  pages={16816--16825},
  year={2022}
}

@inproceedings{ppt,
  author    = {Yuxian Gu and
               Xu Han and
               Zhiyuan Liu and
               Minlie Huang},
  title     = {{PPT:} Pre-trained Prompt Tuning for Few-shot Learning},
  booktitle = {Proceedings of the 60th Annual Meeting of the Association for Computational
               Linguistics, {ACL} 2022},
  pages     = {8410--8423},
  year={2022}
}

@inproceedings{jia2021scaling,
  title={Scaling up visual and vision-language representation learning with noisy text supervision},
  author={Jia, Chao and Yang, Yinfei and Xia, Ye and Chen, Yi-Ting and Parekh, Zarana and Pham, Hieu and Le, Quoc and Sung, Yun-Hsuan and Li, Zhen and Duerig, Tom},
  booktitle={International Conference on Machine Learning},
  pages={4904--4916},
  year={2021},
  organization={PMLR}
}

@inproceedings{prefix,
  author    = {Xiang Lisa Li and
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  title     = {Prefix-Tuning: Optimizing Continuous Prompts for Generation},
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  pages     = {4582--4597},
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@article{mei2022guest,
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@inproceedings{wangwete,
  author    = {Dongsheng Wang and
               Dandan Guo and
               He Zhao and
               Huangjie Zheng and
               Korawat Tanwisuth and
               Bo Chen and
               Mingyuan Zhou},
  title     = {Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings},
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  year={2022}
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@inproceedings{tanwisuth2023pouf,
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year={2023}
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@article{tanwisuth2021prototype,
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@article{zheng2021exploiting,
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@inproceedings{du2022learning,
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@article{zhu2022prompt,
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@inproceedings{feng2022promptdet,
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@article{ma2022understanding,
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@inproceedings{lu2022prompt,
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@article{yao2021cpt,
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@article{chen2022prompt,
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  year={2022}
}

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@inproceedings{wangwete,
  author    = {Dongsheng Wang and
               Dandan Guo and
               He Zhao and
               Huangjie Zheng and
               Korawat Tanwisuth and
               Bo Chen and
               Mingyuan Zhou},
  title     = {Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings},
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  year={2022}
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@inproceedings{nstm,
  author    = {He Zhao and
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               Viet Huynh and
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@inproceedings{autoprompt,
  author    = {Taylor Shin and
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  author={Courty, Nicolas and Flamary, R{\'e}mi and Tuia, Devis},
  booktitle={Joint European Conference on Machine Learning and Knowledge Discovery in Databases},
  pages={274--289},
  year={2014},
  organization={Springer}
}

@article{balaji2020robust,
  title={Robust optimal transport with applications in generative modeling and domain adaptation},
  author={Balaji, Yogesh and Chellappa, Rama and Feizi, Soheil},
  journal={Advances in Neural Information Processing Systems},
  volume={33},
  pages={12934--12944},
  year={2020}
}

@article{courty2017joint,
  title={Joint distribution optimal transportation for domain adaptation},
  author={Courty, Nicolas and Flamary, R{\'e}mi and Habrard, Amaury and Rakotomamonjy, Alain},
  journal={Advances in Neural Information Processing Systems},
  volume={30},
  year={2017}
}

