Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift

Neural Information Processing Systems 

In this paper, we investigate the complementary benefits of self-training and contrastive pretraining. Interestingly, we find that the combination yields significant gains in UDA despite producing negligible gains in SSL.

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