| Learning to learn with variational information bottleneck for domain generalization Y Du, J Xu, H Xiong, Q Qiu, X Zhen, CGM Snoek, L Shao European conference on computer vision, 200-216, 2020 | 212 | 2020 |
| Conditional variational image deraining Y Du, J Xu, X Zhen, MM Cheng, L Shao IEEE Transactions on Image Processing 29, 6288-6301, 2020 | 103 | 2020 |
| Metanorm: Learning to normalize few-shot batches across domains Y Du, X Zhen, L Shao, CGM Snoek International Conference on Learning Representations, 2020 | 87 | 2020 |
| Variational abnormal behavior detection with motion consistency J Li, Q Huang, Y Du, X Zhen, S Chen, L Shao IEEE Transactions on Image Processing 31, 275-286, 2021 | 79 | 2021 |
| Variational image deraining Y Du, J Xu, Q Qiu, X Zhen, L Zhang Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 58 | 2020 |
| Learning to adapt with memory for probabilistic few-shot learning L Zhang, L Zuo, Y Du, X Zhen IEEE Transactions on Circuits and Systems for Video Technology 31 (11), 4283 …, 2021 | 39 | 2021 |
| Learning to learn variational semantic memory X Zhen, Y Du, H Xiong, Q Qiu, C Snoek, L Shao Advances in Neural Information Processing Systems 33, 9122-9134, 2020 | 37 | 2020 |
| Learning to learn kernels with variational random features X Zhen, H Sun, Y Du, J Xu, Y Yin, L Shao, C Snoek International Conference on Machine Learning, 11409-11419, 2020 | 34 | 2020 |
| Hierarchical variational memory for few-shot learning across domains Y Du, X Zhen, L Shao, CGM Snoek arXiv preprint arXiv:2112.08181, 2021 | 30 | 2021 |
| Protodiff: Learning to learn prototypical networks by task-guided diffusion Y Du, Z Xiao, S Liao, C Snoek arXiv preprint arXiv:2306.14770, 2023 | 27 | 2023 |
| Superdisco: Super-class discovery improves visual recognition for the long-tail Y Du, J Shen, X Zhen, CGM Snoek Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 24 | 2023 |
| Gaze estimation by attention-induced hierarchical variational auto-encoder G Huang, J Shi, J Xu, J Li, S Chen, Y Du, X Zhen, H Liu IEEE Transactions on Cybernetics 54 (4), 2592-2605, 2023 | 23 | 2023 |
| Ipo: Interpretable prompt optimization for vision-language models Y Du, W Sun, C Snoek Advances in Neural Information Processing Systems 37, 126725-126766, 2024 | 19 | 2024 |
| Meta-learning with variational semantic memory for word sense disambiguation Y Du, N Holla, X Zhen, C Snoek, E Shutova Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 13 | 2021 |
| MetaKernel: Learning variational random features with limited labels Y Du, H Sun, X Zhen, J Xu, Y Yin, L Shao, CGM Snoek IEEE transactions on pattern analysis and machine intelligence 46 (3), 1464-1478, 2022 | 11 | 2022 |
| Training-free semantic segmentation via llm-supervision W Sun, Y Du, G Liu, R Kompella, CGM Snoek arXiv preprint arXiv:2404.00701, 2024 | 10 | 2024 |
| Learning to learn with variational inference for cross-domain image classification L Zhang, Y Du, J Shen, X Zhen IEEE Transactions on Multimedia 25, 3319-3328, 2022 | 10 | 2022 |
| EMO: Episodic memory optimization for few-shot meta-learning Y Du, J Shen, X Zhen, CGM Snoek Conference on Lifelong Learning Agents, 1-20, 2023 | 7 | 2023 |
| Multi-label meta weighting for long-tailed dynamic scene graph generation S Chen, Y Du, P Mettes, CGM Snoek Proceedings of the 2023 ACM International Conference on Multimedia Retrieval …, 2023 | 7 | 2023 |
| Metamodulation: Learning variational feature hierarchies for few-shot learning with fewer tasks W Sun, Y Du, X Zhen, F Wang, L Wang, CGM Snoek International Conference on Machine Learning, 32847-32858, 2023 | 6 | 2023 |
Xiantong ZhenUnited ImagingVerified email at cri-united-imaging.com
