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SimCLRsimclr.github.io · Low evidenceSimCLR is a framework for contrastive learning of visual representations that simplifies self-supervised learning without requiring specialized architectures or a memory bank. It achieves state-of-the-art performance on ImageNet by leveraging data augmentations, learnable nonlinear transformations, and larger batch sizes.
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