Pablo Mus{é}

Unbiased Open World Regularization for Fair Self-Supervised Learning

L{é}o Nicollier, Marc Pic, Pablo Mus{é}, Enric Meinhardt-Llopis, Gabriele Facciolo

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 collapse by enforcing a global…Read more