Papers by Serguei V. S. Pakhomov

1 papers
Mitigating Confounding in Speech-Based Dementia Detection through Weight Masking (2025.acl-long)

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Challenge: Pre-trained neural language models fine-tuned on AD transcripts perform well, but little research has explored the effects of the gender of the speakers represented by these transcripts.
Approach: They propose to use the Extended Confounding Filter and the Dual Filter to isolate and ablate weights associated with gender in dementia datasets.
Outcome: The proposed methods overfit to training data distributions and disrupt gender-related weights, with the trade-off of slightly reduced dementia detection performance.

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