42 citations · 69 across the 7 of their papers we have counts for
3 papers · 1 filter
Learning Decorrelated Representations Efficiently Using Fast Fourier Transform
Yutaro Shigeto, Masashi Shimbo, Yuya Yoshikawa +1
Barlow Twins and VICReg are self-supervised representation learning models that use regularizers to decorrelate features. Although these models are as effective as conventional rep…
A Fast and Easy Regression Technique for k-NN Classification Without Using Negative Pairs
Yutaro Shigeto, Masashi Shimbo, Yuji Matsumoto
This paper proposes an inexpensive way to learn an effective dissimilarity function to be used for -nearest neighbor (-NN) classification. Unlike Mahalanobis metric learning…
Ridge Regression, Hubness, and Zero-Shot Learning
Yutaro Shigeto, Ikumi Suzuki, Kazuo Hara +2
This paper discusses the effect of hubness in zero-shot learning, when ridge regression is used to find a mapping between the example space to the label space. Contrary to the exis…