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Results: 42
Number of items: 42
  • Open Access
    Zhang, B., Du, Y., Zhen, X., & Shao, L. (2025). Variational Task Vector Composition. In D. Belgrave, C. Zhang, H. Lin, R. Pascanu, P. Koniusz, M. Ghassemi, & N. Chen (Eds.), 39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025): 2-7 December 2025, San Diego, California, USA and 30 November-5 December 2025, Mexico City, Mexico (pp. 139718-139743). (Advances in Neural Information Processing Systems; Vol. 38). Neural Information Processing Systems Foundation. https://doi.org/10.52202/085713-4202
  • 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
    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
  • 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
    Du, Y., Shen, J., Zhen, X., & Snoek, C. G. M. (2023). SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail. In CVPR 2023: proceedings: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition : Vancouver, Canada : 18-22 June 2023 (pp. 19944-19954). IEEE Computer Society. https://doi.org/10.48550/arXiv.2304.00101, https://doi.org/10.1109/CVPR52729.2023.01910
  • Open Access
    Xiao, Z., Zhen, X., Liao, S., & Snoek, C. G. M. (2023). Energy-Based Test Sample Adaptation for Domain Generalization. In The Eleventh International Conference on Learning Representations: ICLR 2023 https://openreview.net/forum?id=3dnrKbeVatv
  • 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
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