Tetsuya Sakai

Information Systems · 2007–2020

A researcher in the Science corpus: 5 papers; trusts 21 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Tetsuya Sakai trusts overall

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

  1. Ellen M. Voorhees
  2. Chris Buckley
  3. P. Ellis
  4. Justin Zobel
  5. Mark D. Smucker
  6. Alistair Moffat
  7. Bradley Efron
  8. Valen E. Johnson
  9. James Allan
  10. Andrew Turpin

Who trusts Tetsuya Sakai overall

  1. Sebastian Hofstätter
  2. Fernando Diaz
  3. C. Clarke
  4. Marco Ferrante
  5. Mark Sanderson
  6. Navid Rekabsaz
  7. Allan Hanbury
  8. Tobias Schnabel
  9. Xinyi Yan
  10. Nicola Ferro

Papers from Tetsuya Sakai's perspective

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

  1. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  3. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  4. Retrieval evaluation with incomplete information
  5. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  6. ImageNet classification with deep convolutional neural networks
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. ImageNet: A large-scale hierarchical image database
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Long Short-Term Memory

Their papers