Shohei Higashiyama

Natural Language Processing · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 24 citations into it; #5,459 of 5,688 by trust here, #5,092 by citations
• Artificial Intelligence — 11 citations into it
• Evaluation & Benchmarks — 11 citations into it; #2,958 of 3,147 by trust here, #2,704 by citations

Whom Shohei Higashiyama trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Philipp Koehn
2. Maja Popovic
3. Toshiaki Nakazawa
4. Graham Neubig

Who trusts Shohei Higashiyama overall

1. Taku Kudo

Papers from Shohei Higashiyama's perspective

Ordered by how strongly the researchers Shohei Higashiyama trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Bleu: a Method for Automatic Evaluation of Machine Translation
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
6. ImageNet classification with deep convolutional neural networks
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers

• Overview of the 5th Workshop on Asian Translation (2019) — 46 citations
• Overview of the 4th Workshop on Asian Translation (2017) — 47 citations