Contrastive Learning

Contrastive learning is an unsupervised representation learning technique in deep learning that aims to bring similar instances closer to each other in the representation space while pushing dissimilar instances further apart. This method has shown excellent performance in tasks such as image retrieval, zero-shot learning, and cross-modal retrieval, with the learned representations serving as features for downstream tasks like classification and clustering.