Does Double Descent Occur in Self-Supervised Learning?

Alisia Lupidi; Yonatan Gideoni; Dulhan Jayalath

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arXiv · 2307.07872

Does Double Descent Occur in Self-Supervised Learning?

Alisia Lupidi·Yonatan Gideoni·Dulhan Jayalath

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Abstract

Most investigations into double descent have focused on supervised models while the few works studying self-supervised settings find a surprising lack of the phenomenon. These results imply that double descent may not exist in self-supervised models. We show this empirically using a standard and linear autoencoder, two previously unstudied settings. The test loss is found to have either a classical U-shape or to monotonically decrease instead of exhibiting a double-descent curve. We hope that further work on this will help elucidate the theoretical underpinnings of this phenomenon.

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Alisia Lupidi, Yonatan Gideoni, Dulhan Jayalath. 2023-07-15. Does Double Descent Occur in Self-Supervised Learning?. https://arxiv.org/abs/2307.07872

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