5 citations · 12 across the 5 of their papers we have counts for
6 papers
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…
K-VQG: Knowledge-aware Visual Question Generation for Common-sense Acquisition
Kohei Uehara, Tatsuya Harada
Visual Question Generation (VQG) is a task to generate questions from images. When humans ask questions about an image, their goal is often to acquire some new knowledge. However,…
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…
Hyperbolic Neural Networks++
Ryohei Shimizu, Yusuke Mukuta, Tatsuya Harada
Hyperbolic spaces, which have the capacity to embed tree structures without distortion owing to their exponential volume growth, have recently been applied to machine learning to b…