Katsuhito Sudoh

Natural Language Processing · 2010–2019

A researcher in the Science corpus: 7 papers; trusts 117 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 91 citations into it; #2,599 of 5,688 by trust here, #2,767 by citations
• Artificial Intelligence — 86 citations into it; #25,705 of 35,345 by trust here, #19,018 by citations
• Computer Vision and Pattern Recognition — 34 citations into it; #21,052 of 21,575 by trust here, #14,151 by citations
• Evaluation & Benchmarks — 32 citations into it
• Model Architectures — 15 citations into it
• Machine Translation — 6 citations into it
• Optimization & Training — 6 citations into it

Whom Katsuhito Sudoh trusts overall

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

1. Philipp Koehn
2. Diederik P. Kingma
3. Yoshua Bengio
4. Dzmitry Bahdanau
5. Kyunghyun Cho
6. Geoffrey E. Hinton
7. Taku Kudo
8. Ilya Sutskever
9. Jimmy Ba
10. Rico Sennrich

Who trusts Katsuhito Sudoh overall

1. Miloš Stanojević
2. Chenhui Chu
3. Raj Dabre
4. Pengfei Liu
5. Jinlan Fu
6. Hainan Xu
7. Raphael Shu
8. Philipp Koehn
9. Yixin Liu
10. Graham Neubig

Papers from Katsuhito Sudoh's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• An Empirical Study of Mini-Batch Creation Strategies for Neural Machine Translation (2017) — 26 citations
• Findings of the Third Workshop on Neural Generation and Translation (2019) — 31 citations
• Multi-Source Neural Machine Translation with Data Augmentation (2018) — 22 citations
• Multi-Source Neural Machine Translation with Missing Data (2018) — 56 citations
• Adaptation Data Selection using Neural Language Models: Experiments in Machine Translation (2013) — 119 citations
• Generalized Minimum Bayes Risk System Combination (2011) — 20 citations
• Automatic Evaluation of Translation Quality for Distant Language Pairs (2010) — 376 citations