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Results: 5
Number of items: 5
  • Open Access
    Xiao, Z., Shen, J., Derakhshani, M. M., Liao, S., & Snoek, C. G. M. (2024). Any-Shift Prompting for Generalization over Distributions. In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition: CVPR 2024 : Seattle, Washington, USA, 16-22 June 2024 : proceedings (pp. 13849-13860). IEEE Computer Society. https://doi.org/10.48550/arXiv.2402.10099, https://doi.org/10.1109/CVPR52733.2024.01314
  • Open Access
    van Sonsbeek, T., Derakhshani, M. M., Najdenkoska, I., Snoek, C. G. M., & Worring, M. (2023). Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models. In H. Greenspan, A. Madabhushi, P. Mousavi, S. Salcudean, J. Duncan, T. Syeda-Mahmood, & R. Taylor (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2023: 26th International Conference, Vancouver, BC, Canada, October 8–12, 2023 : proceedings (Vol. V, pp. 726-736). (Lecture Notes in Computer Science; Vol. 14224). Springer. https://doi.org/10.48550/arXiv.2303.05977, https://doi.org/10.1007/978-3-031-43904-9_70
  • Open Access
    Derakhshani, M. M., Sanchez, E., Bulat, A., Turrisi da Costa, V. G., Snoek, C. G. M., Tzimiropoulos, G., & Martinez, B. (2023). Bayesian Prompt Learning for Image-Language Model Generalization. In 2023 IEEE/CVF International Conference on Computer Vision: ICCV 2023 : Paris, France, 2-6 October 2023 : proceedings (pp. 15191-15200). IEEE Computer Society. https://doi.org/10.48550/arXiv.2210.02390, https://doi.org/10.1109/ICCV51070.2023.01398
  • Open Access
    Derakhshani, M. M., Najdenkoska, I., van Sonsbeek, T., Zhen, X., Mahapatra, D., Worring, M., & Snoek, C. G. M. (2022). LifeLonger: A Benchmark for Continual Disease Classification. In L. Wang, Q. Dou, P. T. Fletcher, S. Speidel, & S. Li (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2022: 25th International Conference, Singapore, September 18–22, 2022 : proceedings (Vol. II, pp. 314–324). (Lecture Notes in Computer Science; Vol. 13432). Springer. https://doi.org/10.48550/arXiv.2204.05737, https://doi.org/10.1007/978-3-031-16434-7_31
  • Open Access
    Derakhshani, M. M., Zhen, X., Shao, L., & Snoek, C. G. M. (2021). Kernel Continual Learning. Proceedings of Machine Learning Research, 139, 2621-2631. https://proceedings.mlr.press/v139/derakhshani21a.html
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