Investigating group distributionally robust optimization for deep imbalanced learning: a case study of binary tabular data classification.
One of the most studied machine learning challenges that recent studies have shown the susceptibility of deep neural networks to is the class imbalance problem. While concerted research efforts in this direction have been notable in recent years, findings have shown that the canonical learning objec...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Science and Information Organization
2023
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| Subjects: | |
| Online Access: | http://eprints.utm.my/105382/1/IsmailMustapha2023_InvestigatingGroupDistributionallyRobustOptimization.pdf http://eprints.utm.my/105382/ http://dx.doi.org/10.14569/IJACSA.2023.0140286 |
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