Sep 26, 2022 · In this paper we compare different gender bias mitigation approaches on a classification task. We consider mitigation techniques that manipulate the training ...
In this paper we compare different gender bias mitigation approaches on a classification task. We consider mitigation techniques that manipulate the training data ...
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Dive into the research topics of 'Exploring the Impact of Gender Bias Mitigation Approaches on a Downstream Classification Task'. Together they form a unique ...
3 days ago · This paper addresses the gap of bias mitigation by examining gender bias in four different Bangla language models pretrained in classification ...
Oct 22, 2024 · Specifically, our proposed technique obtained a reduction in the bias by an average of 30% over existing bias mitigation techniques as well as ...
Feb 7, 2023 · We have designed a probe to investigate the effects of intrinsic gender bias mitigation strategies on downstream text classification tasks.
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They provide a novel linear-algebraic approach that post-processes word embeddings in order to partially remove gender bias. Under their evaluation, they find ...
In this paper, we propose a novel bias mitigation technique that leverages the power of semantic preserving augmentations at the image- and feature-level.
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It is shown that traditional techniques for debiasing embeddings can actually worsen the bias of the downstream classifier by providing a less noisy channel ...
Jul 6, 2023 · In this work, we examined the impact of various bias mitigation techniques on downstream classification tasks. We looked at different data ...