arxiv
PublishedJuly 27, 2026 at 4:00 AM
—neutral
Unbiased Open World Regularization for Fair Self-Supervised Learning
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arXiv:2607.22149v1 Announce Type: new Abstract: Despite recent advances, self-supervised learning (SSL) models and Joint-Embedding Predictive Architectures (JEPAs) remain susceptible to learning spurious biases in the dataset. These techniques rely on regularization, which prevents representation co
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Originally published on arxiv ↗