Preprint2020
SimCLRv2
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SimCLRv2 presents a semi-supervised learning framework combining unsupervised pretraining, supervised fine-tuning, and distillation with unlabeled data.
0Jun 1, 2020Fine Tuning
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SimCLRv2 presents a semi-supervised learning framework combining unsupervised pretraining, supervised fine-tuning, and distillation with unlabeled data.
Unknown
SimCLR simplifies contrastive learning by optimizing data augmentation, adding learnable nonlinear transformations, and scaling batch size and training steps.