| Learning to learn with variational information bottleneck for domain generalization Y Du, J Xu, H Xiong, Q Qiu, X Zhen, CGM Snoek, L Shao Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 86 | 2020 |
| Conditional variational image deraining Y Du, J Xu, X Zhen, MM Cheng, L Shao IEEE Transactions on Image Processing 29, 6288-6301, 2020 | 64 | 2020 |
| Metanorm: Learning to normalize few-shot batches across domains Y Du, X Zhen, L Shao, CGM Snoek International Conference on Learning Representations, 2021 | 40 | 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 | 39 | 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 | 25 | 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 | 15 | 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 | 13 | 2020 |
| Hierarchical variational memory for few-shot learning across domains Y Du, X Zhen, L Shao, CGM Snoek arXiv preprint arXiv:2112.08181, 2021 | 9 | 2021 |
| 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 | 9 | 2021 |
| Meta-learning with variational semantic memory for word sense disambiguation Y Du, N Holla, X Zhen, CGM Snoek, E Shutova arXiv preprint arXiv:2106.02960, 2021 | 7 | 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, 2022 | 3 | 2022 |
| Calibrated multivariate regression networks L Zhang, Y Du, X Li, X Zhen IEEE Transactions on Circuits and Systems for Video Technology 30 (11), 4222 …, 2019 | 2 | 2019 |
| Learning to Learn with Variational Inference for Cross-Domain Image Classification L Zhang, Y Du, J Shen, X Zhen IEEE Transactions on Multimedia, 2022 | 1 | 2022 |
| Learning to learn kernels with variational random features H Sun, Y Du, J Xu, Y Yin, X Zhen, L Shao | 1 | 2020 |
| MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks W Sun, Y Du, X Zhen, F Wang, L Wang, CGM Snoek arXiv preprint arXiv:2305.10309, 2023 | | 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 | | 2023 |
| Supplement material: SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail Y Du, J Shen, X Zhen, CGM Snoek | | |
| Memory-Augmented Variational Adaptation for Online Few-Shot Segmentation J Liu, Y Du, Z Xiao, CGM Snoek, J Sonke, E Gavves | | |
| EMO: Episodic Memory Optimization for Few-Shot Meta-Learning Y Du, J Shen, X Zhen, CGM Snoek | | |
| Supplementary Materials for" Learning to Learn Kernels with Variational Random Features X Zhen, H Sun, Y Du, J Xu, Y Yin, L Shao, C Snoek | | |
Xiantong ZhenUnited ImagingVerified email at inceptioniai.org
