29 citations · 123 across the 37 of their papers we have counts for
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cs.CL2016
An Empirical Study of Adequate Vision Span for Attention-Based Neural Machine Translation
Raphael Shu, Hideki Nakayama
Recently, the attention mechanism plays a key role to achieve high performance for Neural Machine Translation models. However, as it computes a score function for the encoder state…
cs.CL2016★ 2 cited
Zero-resource Machine Translation by Multimodal Encoder-decoder Network with Multimedia Pivot
Hideki Nakayama, Noriki Nishida
We propose an approach to build a neural machine translation system with no supervised resources (i.e., no parallel corpora) using multimodal embedded representation over texts and…
cs.CV2016★ 20 cited
Annotation Order Matters: Recurrent Image Annotator for Arbitrary Length Image Tagging
Jiren Jin, Hideki Nakayama
Automatic image annotation has been an important research topic in facilitating large scale image management and retrieval. Existing methods focus on learning image-tag correlation…