2020
SimCLR: A Simple Framework for Contrastive Learning
How a simple framework — augmentation, shared encoder, projection head, and contrastive loss — set a new standard for self-supervised visual representation learning.
Explore machine learning papers and reviews related to data-augmentation. Find insights, analysis, and implementation details.
How a simple framework — augmentation, shared encoder, projection head, and contrastive loss — set a new standard for self-supervised visual representation learning.