How Should Self-Supervised Learning Models Represent Their Data?
NYU Center for Data Science
NOVEMBER 3, 2023
Self-supervised learning (SSL) has emerged as a powerful technique for training deep neural networks without extensive labeled data. Rudner, among others, and “ To Compress or Not to Compress — Self-Supervised Learning and Information Theory: A Review.”
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