Learning Flexible and Fair Data Representations
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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… read more here.
Keywords: non sensitive; fair data; data representations; group ... See more keywords