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Yutaro Shigeto

STAIR Lab, Chiba Institute of Technology

4 papers hereh-index 5480 citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.LG2
affiliations
  • STAIR Lab, Chiba Institute of Technology
same name
  • Yutaro Shigeto — 2 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152020
most citedRidge Regression, Hubness, and Zero-Shot Learning

42 citations · 42 across the 1 of their papers we have counts for

collaborators

4 papers

cs.CL2020

Video Caption Dataset for Describing Human Actions in Japanese

Yutaro Shigeto, Yuya Yoshikawa, Jiaqing Lin +1

In recent years, automatic video caption generation has attracted considerable attention. This paper focuses on the generation of Japanese captions for describing human actions. Wh…

cs.LG2018

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 k-nearest neighbor (k-NN) classification. Unlike Mahalanobis metric learning…

cs.CL2017

STAIR Captions: Constructing a Large-Scale Japanese Image Caption Dataset

Yuya Yoshikawa, Yutaro Shigeto, Akikazu Takeuchi

In recent years, automatic generation of image descriptions (captions), that is, image captioning, has attracted a great deal of attention. In this paper, we particularly consider…

cs.LG2015★ 42 cited

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…

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