Contrastive Learning: A Tutorial | Built In

Supervised vs. Unsupervised Learning: What’s the Difference? | IBM

Distinguish between supervised learning and unsupervised learning.

Artificial Intelligence | AI on Instagram: "Contrastive learning is a type of self-supervised learning where the goal is to learn representations by comparing pairs of data. Instead of predicting missing parts of data like other self-supervised algorithms, it teaches a model to bring similar examples (called positive pairs) closer in the embedding space while spacing different ones (called negative pairs) farther apart. For instance, two different versions of the same image (rotated and cropped)

Refining Contrastive Learning and Homography Relations for Multi-Modal Recommendation | Proceedings of the 33rd ACM International Conference on Multimedia