Debiased Learning via Composed Conceptual Sensitivity Regularization
Deep neural networks often rely on spurious features, which are attributes correlated with class labels but irrelevant to the actual task, leading to poor generalization when these features are absent. To train classifiers that are not biased towards spurious features, recent research has leveraged...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10713328/ |
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