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2024 ICML ICML 2024

Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Sungmin Cha, Kyunghyun Cho, Taesup Moon

Topics

Machine Learning > Learning Types > Self-Supervised Learning Deep Learning > Learning Types > Contrastive Learning

Keywords

representation learning stability info nce continual self-supervised learning plasticity pseudo-negatives
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