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Learning Set Functions Under the Optimal Subset Oracle via Equivariant Variational Inference



Zijing Ou , Tingyang Xu , Qinliang Su , Yingzhen Li , Peilin Zhao , Yatao Bian


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A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging



Thomas Henn , Yasukazu Sakamoto , Clément Jacquet , Shunsuke Yoshizawa , Masamichi Andou , Stephen Tchen , Ryosuke Saga , Hiroyuki Ishihara , Katsuhiko Shimizu , Yingzhen Li , Ryutaro Tanno

* Medical Image Computing and Computer Assisted Intervention MICCAI 2021 pp 509-518 

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Interpreting diffusion score matching using normalizing flow



Wenbo Gong , Yingzhen Li

* 8 pages, International Conference on Machine Learning (ICML) INNF+ 2021 Workshop Spotlight 

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Sparse Uncertainty Representation in Deep Learning with Inducing Weights



Hippolyt Ritter , Martin Kukla , Cheng Zhang , Yingzhen Li


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Contextual HyperNetworks for Novel Feature Adaptation



Angus Lamb , Evgeny Saveliev , Yingzhen Li , Sebastian Tschiatschek , Camilla Longden , Simon Woodhead , José Miguel Hernández-Lobato , Richard E. Turner , Pashmina Cameron , Cheng Zhang

* 17 pages, 9 Figures, workshop paper at NeurIPS 2020 Meta-Learning Workshop 

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Active Slices for Sliced Stein Discrepancy



Wenbo Gong , Kaibo Zhang , Yingzhen Li , José Miguel Hernández-Lobato

* 22 pages, 7 figures 

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Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification



Yi Zhu , Ehsan Shareghi , Yingzhen Li , Roi Reichart , Anna Korhonen

* EACL 2021 

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Reinforcement Learning with Efficient Active Feature Acquisition



Haiyan Yin , Yingzhen Li , Sinno Jialin Pan , Cheng Zhang , Sebastian Tschiatschek


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A Study on Efficiency in Continual Learning Inspired by Human Learning



Philip J. Ball , Yingzhen Li , Angus Lamb , Cheng Zhang

* Accepted at NeurIPS 2020 BabyMind Workshop 

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Hierarchical Sparse Variational Autoencoder for Text Encoding



Victor Prokhorov , Yingzhen Li , Ehsan Shareghi , Nigel Collier


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