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Bias mitigation in machine learning models is imperative, yet challenging. While several approaches have been proposed, one view towards mitigating bias is through adversarial learning. A discriminator is used to identify the bias attributes such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e8dd78bb853fc7dfa96d5de093e2752
