Tetsuji Nakagawa

Natural Language Processing · 2010–2018

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Tetsuji Nakagawa trusts overall

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

  1. David John Cameron MacKay
  2. Adwait Ratnaparkhi
  3. Yejin Choi
  4. Louis-philippe Morency
  5. Bo Pang
  6. Theresa Wilson
  7. Karo Moilanen
  8. Janyce Wiebe
  9. Claire Cardie
  10. Geoffrey E. Hinton

Who trusts Tetsuji Nakagawa overall

  1. Richard Socher
  2. Yongfeng Zhang
  3. Yoon Kim
  4. Christopher D. Manning
  5. Sida I. Wang
  6. Karl Moritz Hermann
  7. Ainur Yessenalina
  8. Ji Young Lee
  9. Aniruddha Ghosh
  10. Li Dong

Papers from Tetsuji Nakagawa's perspective

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

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

Their papers