A SimCLR extension that adds an entropy-regularized Wasserstein penalty to intermediate features reports modest accuracy gains on small image benchmarks.
A Simple Framework for Contrastive Learning of Visual Representations,
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SinSim: Sinkhorn-Regularized SimCLR
A SimCLR extension that adds an entropy-regularized Wasserstein penalty to intermediate features reports modest accuracy gains on small image benchmarks.