Alert button
Picture for Yingzhen Li

Yingzhen Li

Alert button

Markovian Gaussian Process Variational Autoencoders

Jul 12, 2022
Harrison Zhu, Carles Balsells Rodas, Yingzhen Li

Figure 1 for Markovian Gaussian Process Variational Autoencoders
Viaarxiv icon

Repairing Neural Networks by Leaving the Right Past Behind

Jul 11, 2022
Ryutaro Tanno, Melanie F. Pradier, Aditya Nori, Yingzhen Li

Figure 1 for Repairing Neural Networks by Leaving the Right Past Behind
Figure 2 for Repairing Neural Networks by Leaving the Right Past Behind
Figure 3 for Repairing Neural Networks by Leaving the Right Past Behind
Figure 4 for Repairing Neural Networks by Leaving the Right Past Behind
Viaarxiv icon

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

Mar 03, 2022
Zijing Ou, Tingyang Xu, Qinliang Su, Yingzhen Li, Peilin Zhao, Yatao Bian

Figure 1 for Learning Set Functions Under the Optimal Subset Oracle via Equivariant Variational Inference
Figure 2 for Learning Set Functions Under the Optimal Subset Oracle via Equivariant Variational Inference
Figure 3 for Learning Set Functions Under the Optimal Subset Oracle via Equivariant Variational Inference
Figure 4 for Learning Set Functions Under the Optimal Subset Oracle via Equivariant Variational Inference
Viaarxiv icon

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

Sep 25, 2021
Thomas Henn, Yasukazu Sakamoto, Clément Jacquet, Shunsuke Yoshizawa, Masamichi Andou, Stephen Tchen, Ryosuke Saga, Hiroyuki Ishihara, Katsuhiko Shimizu, Yingzhen Li, Ryutaro Tanno

Figure 1 for A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging
Figure 2 for A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging
Figure 3 for A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging
Figure 4 for A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging
Viaarxiv icon

Interpreting diffusion score matching using normalizing flow

Jul 21, 2021
Wenbo Gong, Yingzhen Li

Figure 1 for Interpreting diffusion score matching using normalizing flow
Figure 2 for Interpreting diffusion score matching using normalizing flow
Viaarxiv icon

Sparse Uncertainty Representation in Deep Learning with Inducing Weights

May 30, 2021
Hippolyt Ritter, Martin Kukla, Cheng Zhang, Yingzhen Li

Figure 1 for Sparse Uncertainty Representation in Deep Learning with Inducing Weights
Figure 2 for Sparse Uncertainty Representation in Deep Learning with Inducing Weights
Figure 3 for Sparse Uncertainty Representation in Deep Learning with Inducing Weights
Figure 4 for Sparse Uncertainty Representation in Deep Learning with Inducing Weights
Viaarxiv icon

Contextual HyperNetworks for Novel Feature Adaptation

Apr 12, 2021
Angus Lamb, Evgeny Saveliev, Yingzhen Li, Sebastian Tschiatschek, Camilla Longden, Simon Woodhead, José Miguel Hernández-Lobato, Richard E. Turner, Pashmina Cameron, Cheng Zhang

Figure 1 for Contextual HyperNetworks for Novel Feature Adaptation
Figure 2 for Contextual HyperNetworks for Novel Feature Adaptation
Figure 3 for Contextual HyperNetworks for Novel Feature Adaptation
Figure 4 for Contextual HyperNetworks for Novel Feature Adaptation
Viaarxiv icon

Active Slices for Sliced Stein Discrepancy

Feb 08, 2021
Wenbo Gong, Kaibo Zhang, Yingzhen Li, José Miguel Hernández-Lobato

Figure 1 for Active Slices for Sliced Stein Discrepancy
Figure 2 for Active Slices for Sliced Stein Discrepancy
Figure 3 for Active Slices for Sliced Stein Discrepancy
Figure 4 for Active Slices for Sliced Stein Discrepancy
Viaarxiv icon

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

Jan 26, 2021
Yi Zhu, Ehsan Shareghi, Yingzhen Li, Roi Reichart, Anna Korhonen

Figure 1 for Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification
Figure 2 for Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification
Figure 3 for Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification
Figure 4 for Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification
Viaarxiv icon

Reinforcement Learning with Efficient Active Feature Acquisition

Nov 02, 2020
Haiyan Yin, Yingzhen Li, Sinno Jialin Pan, Cheng Zhang, Sebastian Tschiatschek

Figure 1 for Reinforcement Learning with Efficient Active Feature Acquisition
Figure 2 for Reinforcement Learning with Efficient Active Feature Acquisition
Figure 3 for Reinforcement Learning with Efficient Active Feature Acquisition
Figure 4 for Reinforcement Learning with Efficient Active Feature Acquisition
Viaarxiv icon