42 citations · 69 across the 7 of their papers we have counts for
7 papers
Rethinking Loss Functions for Fact Verification
Yuta Mukobara, Yutaro Shigeto, Masashi Shimbo
We explore loss functions for fact verification in the FEVER shared task. While the cross-entropy loss is a standard objective for training verdict predictors, it fails to capture…
Action Class Relation Detection and Classification Across Multiple Video Datasets
Yuya Yoshikawa, Yutaro Shigeto, Masashi Shimbo +1
The Meta Video Dataset (MetaVD) provides annotated relations between action classes in major datasets for human action recognition in videos. Although these annotated relations ena…
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…
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…
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…
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…
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…