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Results: 19
Number of items: 19
  • 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
    Zou, J., Du, Y., Liu, G., Jiao, Z., & Zhang, H. (2025). Generating Chinese intangible cultural heritage images with structure and color awareness. npj Heritage Science, 13, Article 579. https://doi.org/10.1038/s40494-025-02150-7
  • Open Access
    Du, Y. (2025). Learning to learn with less and less. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Du, Y., Sun, W., & Snoek, C. G. M. (2025). IPO: Interpretable Prompt Optimization for Vision-Language Models. In A. Globerson, L. Mackey, D. Belgrave, A. Fan, U. Paquet, J. Tomczak, & C. Zhang (Eds.), 38th Conference on Neural Information Processing Systems (NeurIPS 2024): 10-15 December 2024, Vancouver, Canada (pp. 126725-126766). (Advances in Neural Information Processing Systems; Vol. 37). Neural Information Processing Systems Foundation. https://doi.org/10.52202/079017-4025
  • Open Access
    Liu, J., Zhou, P., Du, Y., Tan, A.-H., Snoek, C. G. M., Sonke, J.-J., & Gavves, E. (2025). CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation. In The Thirteenth International Conference on Learning Representations: ICLR 2025 https://openreview.net/forum?id=KRv9NubipP
  • 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
  • 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
    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., Xiao, Z., Liao, S., & Snoek, C. G. M. (2023). ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion. In A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), 37th Conference on Neural Information Processing Systems (NeurIPS 2023): 10-16 December 2023, New Orleans, Louisana, USA (pp. 46304-46322). (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://doi.org/10.52202/075280-2008
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