2025
On the Importance of Embedding Norms in Self-Supervised Learning
ICML 2025poster
Self-supervised learning (SSL) allows training data representations without a supervised signal and has become an important paradigm in machine learning. Most SSL methods employ the cosine similarity between embedding vectors and hence effectively embed data on a hypersphere. While this seemingly im…