biascon loss
Appendixfor" UnbiasedClassificationThrough Bias-ContrastiveandBias-BalancedLearning "
We first assign bias classes usingAge and Race attributes. Specifically, for theAge attribute, we divide samples into two groups; bias class 0 for samples withage 20and bias class 1for samples withage 10.
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.68)
Unbiased Classification Through Bias-Contrastive and Bias-Balanced Learning
Datasets for training machine learning models tend to be biased unless the data is collected with complete care.
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