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Results: 318
Number of items: 318
  • Open Access
    Hu, V. T., Wu, D., Asano, Y. M., Mettes, P., Fernández-Méndez, F., Ommer, B., & Snoek, C. G. M. (2024). Flow Matching for Conditional Text Generation in a Few Sampling Steps. In Y. Graham, & M. Purver (Eds.), The 18th Conference of the European Chapter of the Association for Computational Linguistics: proceedings of the conference : EACL 2024 : March 17-22, 2024 (Vol. 2, pp. 380-392). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.eacl-short.33
  • 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
    Bhowmik, A., Wang, Y., Baka, N., Oswald, M. R., & Snoek, C. G. M. (2023). Detecting Objects with Context-Likelihood Graphs and Graph Refinement. In 2023 IEEE/CVF International Conference on Computer Vision: ICCV 2023 : Paris, France, 2-6 October 2023 : proceedings (pp. 6501-6510). IEEE Computer Society. https://doi.org/10.1109/ICCV51070.2023.00600
  • Open Access
    Mirzaei, H., Salehi, M., Shahabi, S., Gavves, E., Snoek, C. G. M., Sabokrou, M., & Rohban, M. H. (2023). Fake It Until You Make It: Towards Accurate Near-Distribution Novelty Detection. In The Eleventh International Conference on Learning Representations: ICLR 2023 https://openreview.net/forum?id=QWQM0ZwZdRS
  • Open Access
    Yang, P., Snoek, C. G. M., & Asano, Y. M. (2023). Self-Ordering Point Clouds. In 2023 IEEE/CVF International Conference on Computer Vision: ICCV 2023 : Paris, France, 2-6 October 2023 : proceedings (pp. 15767-15776). IEEE Computer Society. https://doi.org/10.48550/arXiv.2304.00961, https://doi.org/10.1109/ICCV51070.2023.01449
  • Open Access
    Zhang, Y., Doughty, H., & Snoek, C. G. M. (2023). Learning Unseen Modality Interaction. 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. 54716-54726). (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://doi.org/10.48550/arXiv.2306.12795, https://doi.org/10.52202/075280-2385
  • 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
  • Open Access
    Shen, J., Snoek, C., Worring, M., Xiao, Z., & Zhen, X. (2023). Association Graph Learning for Multi-Task Classification with Category Shifts. 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. 7, pp. 4503-4516). (Advances in Neural Information Processing Systems; Vol. 35). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper_files/paper/2022/hash/1cc70be9fb6a83bc46cf4ac21a91e0b0-Abstract-Conference.html
  • Open Access
    Thoker, F. M. (2023). Video-efficient foundation models. [Thesis, fully internal, Universiteit van Amsterdam].
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