Publications

Jiayi Shen, Xiantong Zhen, Marcel Worring, Ling Shao (2021). Variational Multi-Task Learning with Gumbel-Softmax Priors. In NeurIPS.

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Ivona Najdenkoska, Xiantong Zhen, Marcel Worring, Ling Shao (2021). Variational Topic Inference for Chest X-Ray Report Generation. In MICCAI.

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Yingjun Du, Nithin Holla, Xiantong Zhen, Cees G.M. Snoek, Ekaterina Shutova (2021). Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation. In ACL.

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Mohammad Derakhshani, Xiantong Zhen, Ling Shao, Cees G.M. Snoek (2021). Kernel Continual Learning. In ICML.

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Zehao Xiao, Jiayi Shen, Xiantong Zhen, Ling Shao, Cees G.M. Snoek (2021). A Bit More Bayesian: Domain-Invariant Learning with Uncertainty. In ICML.

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Haochen Wang, Yandan Yang, Xianbin Cao, Xiantong Zhen, Cees G.M. Snoek, Ling Shao (2021). Variational Prototype Inference for Few-Shot Semantic Segmentation. In WACV.

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Yunhua Zhang, Ling Shao, Cees G.M. Snoek (2021). Repetitive Activity Counting by Sight and Sound. In CVPR.

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Yingjun Du, Xiantong Zhen, Ling Shao, Cees G.M. Snoek (2021). MetaNorm: Learning to Normalize Few-Shot Batches Across Domains. In ICLR.

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Tom van Sonsbeek, Xiantong Zhen, Marcel Worring, Ling Shao (2021). Variational Knowledge Distillation for Disease Classification in Chest X-Rays. In IPMI.

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Haochen Wang, Xudong Zhang, Yutao Hu, Yandan Yang, Xianbin Cao, Xiantong Zhen (2020). Few-Shot Semantic Segmentation with Democratic Attention Networks. In ECCV.

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Yingjun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G.M. Snoek, Ling Shao (2020). Learning to Learn with Variational Information Bottleneck for Domain Generalization. In ECCV.

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Xiantong Zhen, Yingjun Du, Huan Xiong, Cees G.M. Snoek, Ling Shao (2020). Learning to Learn Variational Semantic Memory. In NeurIPS.

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Mengshi Qi, Jie Qin, Xiantong Zhen, Di Huang, Yi Yang, Jiebo Luo (2020). Few-Shot Ensemble Learning for Video Classification with SlowFast Memory Networks. In ACM MM.

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Zhiang Liu, Yingkun Hou, Xiantong Zhen, Jun Xu, Ling Shao, MingMing Cheng (2020). Pixel-level Non-local Image Smoothing with Objective Evaluation. TMM.

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Xiantong Zhen, Haoliang Sun, Yingjun Du, Jun Xu, Yilong Yin, Ling Shao, Cees G.M. Snoek (2020). Learning to Learn Kernels with Variational Random Features. In ICML.

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Yingjun Du, Jun Xu, Xiantong Zhen, MingMing Cheng, Ling Shao (2020). Conditional Variational Image Deraining. IEEE Transactions on Image Processing.

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