@article{ahuja2021invariance,
  title={Invariance principle meets information bottleneck for out-of-distribution generalization},
  author={Ahuja, Kartik and Caballero, Ethan and Zhang, Dinghuai and Gagnon-Audet, Jean-Christophe and Bengio, Yoshua and Mitliagkas, Ioannis and Rish, Irina},
  journal={Advances in Neural Information Processing Systems},
  volume={34},
  pages={3438--3450},
  year={2021}
}

@misc{rsna-pneumonia-detection-challenge,
    author = {Anouk Stein, MD and Carol Wu and Chris Carr and George Shih and Jamie Dulkowski and kalpathy and Leon Chen and Luciano Prevedello and Marc Kohli, MD and Mark McDonald and Peter and Phil Culliton and Safwan Halabi MD and Tian Xia},
    title = {{RSNA} Pneumonia Detection Challenge},
    year = {2018},
    howpublished = {\url{https://kaggle.com/competitions/rsna-pneumonia-detection-challenge}},
    note = {Kaggle}
}

@article{arjovsky2019invariant,
  title={Invariant risk minimization},
  author={Arjovsky, Martin and Bottou, L{\'e}on and Gulrajani, Ishaan and Lopez-Paz, David},
  journal={arXiv preprint arXiv:1907.02893},
  year={2019}
}

@article{bardes2021vicreg,
  title={Vicreg: Variance-invariance-covariance regularization for self-supervised learning},
  author={Bardes, Adrien and Ponce, Jean and LeCun, Yann},
  journal={arXiv preprint arXiv:2105.04906},
  year={2021}
}

@inproceedings{belghazi2018mutual,
  title={Mutual information neural estimation},
  author={Belghazi, Mohamed Ishmael and Baratin, Aristide and Rajeshwar, Sai and Ozair, Sherjil and Bengio, Yoshua and Courville, Aaron and Hjelm, Devon},
  booktitle={International Conference on Machine Learning},
  pages={531--540},
  year={2018},
  organization={PMLR}
}

@inproceedings{bhat2025prior2posterior,
  title={Prior2Posterior: Model Prior Correction for Long-Tailed Learning},
  author={Bhat, S Divakar and More, Amit and Soni, Mudit and Agrawal, Surbhi},
  booktitle={Winter Conference on Applications of Computer Vision},
  pages={1289--1298},
  year={2025},
  organization={IEEE}
}

@inproceedings{caron2021emerging,
  title={Emerging properties in self-supervised vision transformers},
  author={Caron, Mathilde and Touvron, Hugo and Misra, Ishan and J{\'e}gou, Herv{\'e} and Mairal, Julien and Bojanowski, Piotr and Joulin, Armand},
  booktitle={IEEE/CVF International Conference on Computer Vision},
  pages={9650--9660},
  year={2021}
}

@article{codella2019skin,
  title={Skin lesion analysis toward melanoma detection 2018: A challenge hosted by the international skin imaging collaboration (isic)},
  author={Codella, Noel and Rotemberg, Veronica and Tschandl, Philipp and Celebi, M Emre and Dusza, Stephen and Gutman, David and Helba, Brian and Kalloo, Aadi and Liopyris, Konstantinos and Marchetti, Michael and others},
  journal={arXiv preprint arXiv:1902.03368},
  year={2019}
}

@article{cogswell2015reducing,
  title={Reducing overfitting in deep networks by decorrelating representations},
  author={Cogswell, Michael and Ahmed, Faruk and Girshick, Ross and Zitnick, Larry and Batra, Dhruv},
  journal={arXiv preprint arXiv:1511.06068},
  year={2015}
}

@inproceedings{fay2025mimm,
  title={MIMM-X: Disentangling Spurious Correlations for Medical Image Analysis},
  author={Fay, Louisa and Reguigui, Hajer and Yang, Bin and Gatidis, Sergios and K{\"u}stner, Thomas},
  booktitle={MICCAI Workshop on Fairness of AI in Medical Imaging},
  pages={94--103},
  year={2025},
  organization={Springer}
}

@article{fu2025unleashing,
  title={Unleashing the Power of Image-Tabular Self-Supervised Learning via Breaking Cross-Tabular Barriers},
  author={Fu, Yibing and Zhao, Yunpeng and Zeng, Zhitao and Chen, Cheng and Jin, Yueming},
  journal={arXiv preprint arXiv:2512.14026},
  year={2025}
}

@article{ganin2016dann,
  title   = {Domain-Adversarial Training of Neural Networks},
  author  = {Ganin, Yaroslav and Ustinova, Evgeniya and Ajakan, Hana and Germain, Pascal and Larochelle, Hugo and Laviolette, Fran{\c{c}}ois and Marchand, Mario and Lempitsky, Victor},
  journal = {Journal of Machine Learning Research},
  volume  = {17},
  number  = {59},
  pages   = {1--35},
  year    = {2016}
}

@article{grandvalet2004semi,
  title={Semi-supervised learning by entropy minimization},
  author={Grandvalet, Yves and Bengio, Yoshua},
  journal={Advances in Neural Information Processing Systems},
  volume={17},
  year={2004}
}

@inproceedings{gretton2005measuring,
  title={Measuring statistical dependence with Hilbert-Schmidt norms},
  author={Gretton, Arthur and Bousquet, Olivier and Smola, Alex and Sch{\"o}lkopf, Bernhard},
  booktitle={International Conference on Algorithmic Learning Theory},
  pages={63--77},
  year={2005},
  organization={Springer}
}

@inproceedings{he2022masked,
  title={Masked autoencoders are scalable vision learners},
  author={He, Kaiming and Chen, Xinlei and Xie, Saining and Li, Yanghao and Doll{\'a}r, Piotr and Girshick, Ross},
  booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={16000--16009},
  year={2022}
}

@inproceedings{houlsby2019parameter,
  title={Parameter-efficient transfer learning for {NLP}},
  author={Houlsby, Neil and Giurgiu, Andrei and Jastrzebski, Stanislaw and Morrone, Bruna and De Laroussilhe, Quentin and Gesmundo, Andrea and Attariyan, Mona and Gelly, Sylvain},
  booktitle={International Conference on Machine Learning},
  pages={2790--2799},
  year={2019},
  organization={PMLR}
}

@article{hu2021lora,
  title={{LoRA}: {Low-Rank} Adaptation of Large Language Models},
  author={Hu, Edward J. and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Wang, Lu and Chen, Weizhu},
  journal={arXiv preprint arXiv:2106.09685},
  year={2021}
}

@inproceedings{kopiczko2024vera,
    title={Ve{RA}: Vector-based Random Matrix Adaptation},
    author={Dawid Jan Kopiczko and Tijmen Blankevoort and Yuki M Asano},
    booktitle={International Conference on Learning Representations},
    year={2024},
    url={https://openreview.net/forum?id=NjNfLdxr3A}
}

@article{liu2022few,
  title={Few-shot parameter-efficient fine-tuning is better and cheaper than in-context learning},
  author={Liu, Haokun and Tam, Derek and Muqeeth, Mohammed and Mohta, Jay and Huang, Tenghao and Bansal, Mohit and Raffel, Colin A},
  journal={Advances in Neural Information Processing Systems},
  volume={35},
  pages={1950--1965},
  year={2022}
}

@inproceedings{ma2020hsic,
  title={The {HSIC} bottleneck: Deep learning without back-propagation},
  author={Ma, Wan-Duo Kurt and Lewis, JP and Kleijn, W Bastiaan},
  booktitle={AAAI Conference on Artificial Intelligence},
  volume={34},
  pages={5085--5092},
  year={2020}
}

@misc{ODIR2019,
  key   = {ODIR},
  title = {International Competition on Ocular Disease Intelligent Recognition},
  year  = {2019},
  howpublished = {\url{https://odir2019.grand-challenge.org}}
}

@inproceedings{selvaraju2017grad,
  title={Grad-cam: Visual explanations from deep networks via gradient-based localization},
  author={Selvaraju, Ramprasaath R and Cogswell, Michael and Das, Abhishek and Vedantam, Ramakrishna and Parikh, Devi and Batra, Dhruv},
  booktitle={IEEE International Conference on Computer Vision},
  pages={618--626},
  year={2017}
}

@article{simeoni2025dinov3,
  title={{DINOv3}},
  author={Sim{\'e}oni, Oriane and Vo, Huy V and Seitzer, Maximilian and Baldassarre, Federico and Oquab, Maxime and Jose, Cijo and Khalidov, Vasil and Szafraniec, Marc and Yi, Seungeun and Ramamonjisoa, Micha{\"e}l and others},
  journal={arXiv preprint arXiv:2508.10104},
  year={2025}
}

@article{tschandl2018ham10000,
  title={The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions},
  author={Tschandl, Philipp and Rosendahl, Cliff and Kittler, Harald},
  journal={Scientific Data},
  volume={5},
  number={1},
  pages={1--9},
  year={2018},
  publisher={Nature Publishing Group}
}

@article{veasey2025low,
  title={Low-rank adaptation of pre-trained large vision models for improved lung nodule malignancy classification},
  author={Veasey, Benjamin P and Amini, Amir A},
  journal={IEEE Open Journal of Engineering in Medicine and Biology},
  year={2025},
  publisher={IEEE}
}

@inproceedings{wang2022disentangling,
  title={Disentangling disease-related representation from obscure for disease prediction},
  author={Wang, Chu-ran and Gao, Fei and Zhang, Fandong and Zhong, Fangwei and Yu, Yizhou and Wang, Yizhou},
  booktitle={International Conference on Machine Learning},
  pages={22652--22664},
  year={2022},
  organization={PMLR}
}

@article{woo2025paca,
  title={PaCA: Partial connection adaptation for efficient fine-tuning},
  author={Woo, Sunghyeon and Namkung, Sol and Lee, Sunwoo and Jeong, Inho and Kim, Beomseok and Jeon, Dongsuk},
  journal={arXiv preprint arXiv:2503.01905},
  year={2025}
}

@article{wu2025medical,
  title={Medical sam adapter: Adapting segment anything model for medical image segmentation},
  author={Wu, Junde and Wang, Ziyue and Hong, Mingxuan and Ji, Wei and Fu, Huazhu and Xu, Yanwu and Xu, Min and Jin, Yueming},
  journal={Medical Image Analysis},
  volume={102},
  pages={103547},
  year={2025},
  publisher={Elsevier}
}

@inproceedings{xiong2024semi,
  title={Semi-and Weakly-Supervised Learning for Mammogram Mass Segmentation with Limited Annotations},
  author={Xiong, Xinyu and Wang, Churan and Li, Wenxue and Li, Guanbin},
  booktitle={International Symposium on Biomedical Imaging},
  pages={1--5},
  year={2024},
  organization={IEEE}
}

@inproceedings{yeh2024navigating,
  title={Navigating Text-To-Image Customization: From Ly{CORIS} Fine-Tuning to Model Evaluation},
  author={Yeh, Shih-Ying and Hsieh, Yu-Guan and Gao, Zhidong and Yang, Bernard BW and Oh, Giyeong and Gong, Yanmin},
  booktitle={International Conference on Learning Representations},
  year={2024},
  url={https://openreview.net/forum?id=wfzXa8e783}
}

@inproceedings{zbontar2021barlow,
  title={Barlow twins: Self-supervised learning via redundancy reduction},
  author={Zbontar, Jure and Jing, Li and Misra, Ishan and LeCun, Yann and Deny, St{\'e}phane},
  booktitle={International Conference on Machine Learning},
  pages={12310--12320},
  year={2021},
  organization={PMLR}
}

@inproceedings{zhou2022image,
    title={Image {BERT} Pre-training with Online Tokenizer},
    author={Jinghao Zhou and Chen Wei and Huiyu Wang and Wei Shen and Cihang Xie and Alan Yuille and Tao Kong},
    booktitle={International Conference on Learning Representations},
    year={2022},
    url={https://openreview.net/forum?id=ydopy-e6Dg}
}