1. Minhaj Nur Alam, Rikiya Yamashita, Vignav Ramesh, Tejas Prabhune, Jennifer I Lim, Robison Vernon Paul Chan, Joelle Hallak, Theodore Leng, and Daniel Rubin. Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models. Scientific Reports, 13(1):6047, 2023.
2. Philip Bachman, R Devon Hjelm, and William Buchwalter. Learning representations by maximizing mutual information across views. Advances in neural information processing systems, 32, 2019.
3. Vicreg: Variance-invariance-covariance regularization for self-supervised learning;Bardes;arXiv preprint arXiv:2105.04906,2021
4. Signature verification using a ’’siamese” time delay neural network;Bromley;Advances in neural information processing systems,1993
5. Domain generalization by solving jigsaw puzzles;Carlucci;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,2019