Before revision:  Extensive large-scale experiments on standard vision tasks show that CCT not only consistently outperforms existing  methods on benchmark datasets in contrastive representation learning but also provides interpretable contrastive weights and latent representations. PyTorch code will be provided .
After revision:  Extensive large-scale experiments on standard vision tasks show that CCT not only consistently outperforms existing methods on benchmark datasets in contrastive representation learning but also provides interpretable contrastive weights , demonstrating the efficacy of the proposed doubly contrastive strategy .