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cs.LG2023★ 2 cited
Mini-Batch Optimization of Contrastive Loss
Jaewoong Cho, Kartik Sreenivasan, Keon Lee +7
Contrastive learning has gained significant attention as a method for self-supervised learning. The contrastive loss function ensures that embeddings of positive sample pairs (e.g.…
cs.LG2022★ 1 cited
Equal Experience in Recommender Systems
Jaewoong Cho, Moonseok Choi, Changho Suh
We explore the fairness issue that arises in recommender systems. Biased data due to inherent stereotypes of particular groups (e.g., male students' average rating on mathematics i…