29 citations · 123 across the 37 of their papers we have counts for
4 papers · 1 filter
Real-time Neural-based Input Method
Jiali Yao, Raphael Shu, Xinjian Li +2
The input method is an essential service on every mobile and desktop devices that provides text suggestions. It converts sequential keyboard inputs to the characters in its target…
Semantic Aware Attention Based Deep Object Co-segmentation
Hong Chen, Yifei Huang, Hideki Nakayama
Object co-segmentation is the task of segmenting the same objects from multiple images. In this paper, we propose the Attention Based Object Co-Segmentation for object co-segmentat…
Discrete Structural Planning for Neural Machine Translation
Raphael Shu, Hideki Nakayama
Structural planning is important for producing long sentences, which is a missing part in current language generation models. In this work, we add a planning phase in neural machin…
Deep Learning for Forecasting Stock Returns in the Cross-Section
Masaya Abe, Hideki Nakayama
Many studies have been undertaken by using machine learning techniques, including neural networks, to predict stock returns. Recently, a method known as deep learning, which achiev…