A Simple Framework for Contrastive Learning of Visual Representations Chen, T., Kornblith, S., Norouzi, M., & Hinton, G. (2020, November). A simple framework for contrastive learning of visual representations. In International conference on machine learning (pp. 1597-1607). PMLR. Main idea - 본 논문 SimCLR에서 기존 unsupervised contrastive learning 방법들과 가장 큰 차이점은 memory bank를 활용하지 않는 점이 존재한다. - Memory ..

Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification Wang, P., Han, K., Wei, X. S., Zhang, L., & Wang, L. (2021). Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 943-952). Data-imbalanced Problem 데이터 불균형 즉, 본 논문의 제목에 있는 "Long-tailed" 환경을 위 그림을 통해 알..