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09/16/2022
Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection
Out-of-distribution (OOD) detection is the key to deploying models safel...
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05/22/2022
Active Source Free Domain Adaptation
Source free domain adaptation (SFDA) aims to transfer a trained source m...
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11/08/2021
Learning to Rectify for Robust Learning with Noisy Labels
Label noise significantly degrades the generalization ability of deep mo...
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08/13/2021
Learning Transferable Parameters for Unsupervised Domain Adaptation
Unsupervised domain adaptation (UDA) enables a learning machine to adapt...
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04/28/2020
Unifying Neural Learning and Symbolic Reasoning for Spinal Medical Report Generation
Automated medical report generation in spine radiology, i.e., given spin...
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04/27/2020
Robust Screening of COVID-19 from Chest X-ray via Discriminative Cost-Sensitive Learning
This paper addresses the new problem of automated screening of coronavir...
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04/27/2020