Self-Damaging Contrastive LearningDownload PDFOpen Website

2021 (modified: 16 Apr 2022)ICML 2021Readers: Everyone
Abstract: The recent breakthrough achieved by contrastive learning accelerates the pace for deploying unsupervised training on real-world data applications. However, unlabeled data in reality is commonly imb...
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