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Results: 318
Number of items: 318
  • Open Access
    Zhang, Y., Zhang, D. W., Lacoste-Julien, S., Burghouts, G. J., & Snoek, C. G. M. (2023). Unlocking Slot Attention by Changing Optimal Transport Costs. Proceedings of Machine Learning Research, 202, 41931-41951. https://proceedings.mlr.press/v202/zhang23ba.html
  • Open Access
    Jing, M., Li, J., Snoek, C., & Zhen, X. (2023). Variational Model Perturbation for Source-Free Domain Adaptation. In S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, & A. Oh (Eds.), 36th Conference on Neural Information Processing Systems (NeurIPS 2022): New Orleans, Louisiana, USA, 28 November-9 December 2022 (Vol. 23, pp. 17173-17187). (Advances in Neural Information Processing Systems; Vol. 35). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper_files/paper/2022/hash/6d7a9f292360193eb530d693f7941c73-Abstract-Conference.html
  • Open Access
    Salehi, M., Gavves, E., Snoek, C. G. M., & Asano, Y. M. (2023). Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations. In 2023 IEEE/CVF International Conference on Computer Vision: ICCV 2023 : Paris, France, 2-6 October 2023 : proceedings (pp. 16490-16501). IEEE Computer Society. https://doi.org/10.1109/ICCV51070.2023.01516, https://doi.org/10.48550/arXiv.2308.11796
  • Open Access
    Hu, T., Thong, W., Mettes, P., & Snoek, C. G. M. (2023). Query by Activity Video in the Wild. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2311.13895
  • Open Access
    Pervez, A. A. (2023). Structural constraints in neural network representations. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Hu, V. T., Zhang, D. W., Asano, Y. M., Burghouts, G. J., & Snoek, C. G. M. (2023). Self-Guided Diffusion Models. In CVPR 2023: proceedings: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition : Vancouver, Canada : 18-22 June 2023 (pp. 18413-18422). IEEE Computer Society. https://doi.org/10.48550/arXiv.2210.06462, https://doi.org/10.1109/CVPR52729.2023.01766
  • 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
    Sosnovik, I. (2023). Symmetry-based learning from limited data. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
    Jing, M., Zhen, X., Li, J., & Snoek, C. G. M. (2023). Order-preserving Consistency Regularization for Domain Adaptation and Generalization. In 2023 IEEE/CVF International Conference on Computer Vision: ICCV 2023 : Paris, France, 2-6 October 2023 : proceedings (pp. 18870-18881). IEEE Computer Society. https://doi.org/10.48550/arXiv.2309.13258, https://doi.org/10.1109/ICCV51070.2023.01734
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