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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3207747
Abstract: In this paper, we consider the problem of learning fair data representations that can be used for some downstream utility task in the vendor-user setting. We propose splitting the latent space between sensitive and non-sensitive…
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Keywords:
non sensitive;
fair data;
data representations;
group ... See more keywords
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Published in 2024 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2024.3356566
Abstract: The increasing ubiquity of data in everyday life has elevated the importance of data literacy and accessible data representations, particularly for individuals with disabilities. While prior research predominantly focuses on the needs of the visually…
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Keywords:
accessible data;
scope;
vision impairments;
beyond vision ... See more keywords