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 | 149 | 2020 |
Conditional variational image deraining Y Du, J Xu, X Zhen, MM Cheng, L Shao IEEE Transactions on Image Processing 29, 6288-6301, 2020 | 81 | 2020 |
Metanorm: Learning to normalize few-shot batches across domains Y Du, X Zhen, L Shao, CGM Snoek International Conference on Learning Representations, 2020 | 63 | 2020 |
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 | 46 | 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 | 28 | 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 | 24 | 2021 |
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 | 24 | 2020 |
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 | 20 | 2020 |
Hierarchical variational memory for few-shot learning across domains Y Du, X Zhen, L Shao, CGM Snoek arXiv preprint arXiv:2112.08181, 2021 | 16 | 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 | 10 | 2021 |
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 | 7 | 2023 |
Learning to learn with variational inference for cross-domain image classification L Zhang, Y Du, J Shen, X Zhen IEEE Transactions on Multimedia, 2022 | 7 | 2022 |
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 | 5 | 2022 |
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion Y Du, Z Xiao, S Liao, C Snoek Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
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, 2023 | 2 | 2023 |
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 |
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 | 1 | 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 | 1 | 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 | 1 | 2023 |
Memory-augmented Variational Adaptation for Online Few-shot Segmentation J Liu, Y Du, Z Xiao, CGM Snoek, JJ Sonke, E Gavves Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1 | 2023 |