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05/26/2023
Confidence-Based Feature Imputation for Graphs with Partially Known Features
This paper investigates a missing feature imputation problem for graph l...
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04/21/2023
RoCOCO: Robust Benchmark MS-COCO to Stress-test Robustness of Image-Text Matching Models
Recently, large-scale vision-language pre-training models and visual sem...
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03/29/2022
Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries
Learning under a continuously changing data distribution with incorrect ...
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12/01/2021
The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification
The problem of class imbalanced data lies in that the generalization per...
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10/06/2021
Influence-Balanced Loss for Imbalanced Visual Classification
In this paper, we propose a balancing training method to address problem...
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06/14/2021
