Machine Learning Research
Fewer Labels, More Learning: How SimCLRv2 improves image recognition with fewer labels
Large models pretrained in an unsupervised fashion and then fine-tuned on a smaller corpus of labeled data have achieved spectacular results in natural language processing. New research pushes forward with a similar approach to computer vision.