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Results: 37
Number of items: 37
  • Open Access
    van Sonsbeek, T. J. (2025). Combining images and text for improved medical image understanding. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Du, Y. (2025). Learning to learn with less and less. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Ambekar, S., Xiao, Z., Shen, J., Zhen, X., & Snoek, C. G. M. (2024). Probabilistic Test-Time Generalization by Variational Neighbor-Labeling. Proceedings of Machine Learning Research, 274, 832-851. https://proceedings.mlr.press/v274/ambekar25a.html
  • Open Access
    Du, Y., Sun, H., Zhen, X., Xu, J., Yin, Y., Shao, L., & Snoek, C. G. M. (2024). MetaKernel: Learning Variational Random Features With Limited Labels. IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(3), 1464-1478. https://doi.org/10.1109/TPAMI.2022.3154930
  • Open Access
    van Sonsbeek, T., Zhen, X., & Worring, M. (2024). Knowledge Graph Embeddings for Multi-lingual Structured Representations of Radiology Reports. In Y. Xue, C. Chen, L. Zuo, & Y. Liu (Eds.), Data Augmentation, Labelling, and Imperfections: Third MICCAI Workshop, DALI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023 : proceedings (pp. 84–94). (Lecture Notes in Computer Science; Vol. 14379). Springer. https://doi.org/10.1007/978-3-031-58171-7_9
  • Zhang, L., Du, Y., Shen, J., & Zhen, X. (2023). Learning to Learn With Variational Inference for Cross-Domain Image Classification. IEEE Transactions on Multimedia, 25, 3319-3328. https://doi.org/10.1109/TMM.2022.3158072
  • Zhang, A., Yang, Y., Xu, J., Cao, X., Zhen, X., & Shao, L. (2023). Latent Domain Generation for Unsupervised Domain Adaptation Object Counting. IEEE Transactions on Multimedia, 25, 1773-1783. https://doi.org/10.1109/TMM.2022.3162710
  • Open Access
    Sun, W., Du, Y., Zhen, X., Wang, F., Wang, L., & Snoek, C. G. M. (2023). MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks. Proceedings of Machine Learning Research, 202, 32847-32858. https://proceedings.mlr.press/v202/sun23b.html
  • Open Access
    Du, Y., Shen, J., Zhen, X., & Snoek, C. G. M. (2023). EMO: Episodic Memory Optimization for Few-Shot Meta-Learning. Proceedings of Machine Learning Research, 232. https://doi.org/10.48550/arXiv.2306.05189
  • Open Access
    van Sonsbeek, T., Zhen, X., Mahapatra, D., & Worring, M. (2023). Probabilistic Integration of Object Level Annotations in Chest X-ray Classification. In Proceedings, 2023 IEEE Winter Conference on Applications of Computer Vision: 3-7 January 2023, Waikoloa, Hawaii (pp. 3619-3629). (WACV; Vol. 2023). IEEE Computer Society. https://doi.org/10.1109/WACV56688.2023.00362
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