Zongming Ma

Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables

Multi-modal contrastive learning as a self-supervised representation learning technique has achieved great success in foundation model training, such as CLIP~\citep{radford2021learning}. In this paper, we study the theoretical properties of the learned representations from multi-modal contrastive l…