2 papers
cs.LG2024
Multi-label Learning with Random Circular Vectors
Ken Nishida, Kojiro Machi, Kazuma Onishi +2
The extreme multi-label classification~(XMC) task involves learning a classifier that can predict from a large label set the most relevant subset of labels for a data instance. Whi…
cs.IR2023
Implicit ZCA Whitening Effects of Linear Autoencoders for Recommendation
Katsuhiko Hayashi, Kazuma Onishi
Recently, in the field of recommendation systems, linear regression (autoencoder) models have been investigated as a way to learn item similarity. In this paper, we show a connecti…