Takuya Shimada

Pairwise Supervision Can Provably Elicit a Decision Boundary

Similarity learning is a general problem to elicit useful representations by predicting the relationship between a pair of patterns. This problem is related to various important preprocessing tasks such as metric learning, kernel learning, and contrastive learning. A classifier built upon the repres…