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Results: 38
Number of items: 38
  • 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
    Du, Y. (2025). Learning to learn with less and less. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    van Sonsbeek, T. J. (2025). Combining images and text for improved medical image understanding. [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
  • 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
    Zhang, Z., Yannakoudakis, H., Zhen, X., & Shutova, E. (2023). CK-Transformer: Commonsense Knowledge Enhanced Transformers for Referring Expression Comprehension. In A. Vlachos, & I. Augenstein (Eds.), The 17th Conference of the European Chapter of the Association for Computational Linguistics : Findings of EACL 2023: EACL 2023 : May 2-6, 2023 (pp. 2586-2596). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.findings-eacl.196
  • 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
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