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08/12/2023
Semantic Equivariant Mixup
Mixup is a well-established data augmentation technique, which can exten...
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04/11/2023
Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification
Classifying incomplete multi-view data is inevitable since arbitrary vie...
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04/09/2023
Reweighted Mixup for Subpopulation Shift
Subpopulation shift exists widely in many real-world applications, which...
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11/16/2022
Learning with Noisy Labels over Imbalanced Subpopulations
Learning with Noisy Labels (LNL) has attracted significant attention fro...
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09/19/2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup
Subpopulation shift wildly exists in many real-world machine learning ap...
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04/25/2022
Trusted Multi-View Classification with Dynamic Evidential Fusion
Existing multi-view classification algorithms focus on promoting accurac...
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01/15/2022
Uncertainty-Aware Multi-View Representation Learning
Learning from different data views by exploring the underlying complemen...
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11/17/2021
Trustworthy Long-Tailed Classification
Classification on long-tailed distributed data is a challenging problem,...
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11/11/2021
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions
Multimodal regression is a fundamental task, which integrates the inform...
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02/03/2021
Trusted Multi-View Classification
Multi-view classification (MVC) generally focuses on improving classific...
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11/12/2020