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Today, we will discuss how big self-supervised models can serve as strong semi-supervised learners. A paper by Chen, Kornbluth, Sworsky, Uzi, and Hinton from Google Brain introduces Sinclair v2, which highlights the benefits of starting with self-supervised learning before fine-tuning for semi-supervised learning. This approach, demonstrated through Sinclair v2, outperforms traditional baselines. If you enjoy this content, please share, like, and comment.