16 citations · 69 across the 33 of their papers we have counts for
5 papers · 1 filter
Grouped self-attention mechanism for a memory-efficient Transformer
Bumjun Jung, Yusuke Mukuta, Tatsuya Harada
Time-series data analysis is important because numerous real-world tasks such as forecasting weather, electricity consumption, and stock market involve predicting data that vary ov…
Computational Storytelling and Emotions: A Survey
Yusuke Mori, Hiroaki Yamane, Yusuke Mukuta +1
Storytelling has always been vital for human nature. From ancient times, humans have used stories for several objectives including entertainment, advertisement, and education. Vari…
Learning from Label Proportions with Instance-wise Consistency
Ryoma Kobayashi, Yusuke Mukuta, Tatsuya Harada
Learning from Label Proportions (LLP) is a weakly supervised learning method that aims to perform instance classification from training data consisting of pairs of bags containing…
COMPASS: a Creative Support System that Alerts Novelists to the Unnoticed Missing Contents
Yusuke Mori, Hiroaki Yamane, Ryohei Shimizu +2
When humans write, they may unintentionally omit some information. Complementing the omitted information using a computer is helpful in providing writing support. Recently, in the…
ViNTER: Image Narrative Generation with Emotion-Arc-Aware Transformer
Kohei Uehara, Yusuke Mori, Yusuke Mukuta +1
Image narrative generation is a task to create a story from an image with a subjective viewpoint. Given the importance of the subjective feelings of writers, readers, and character…