This project aims to improve the robustness of contrastive learning model SimCLR via adversarial learnings and enhance its generalizability across all attacks by incoporating the meta-learning framework.
Keyword: Robust Machine Learning, Meta Learning, Adversarial Learning, SimCLR, etc.