Naoya Inoue

Natural Language Processing · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Naoya Inoue trusts overall

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

  1. Andrew S. Gordon
  2. Diederik P. Kingma
  3. Samuel R. Bowman
  4. Dekang Lin
  5. Christopher D. Manning
  6. Jacob Devlin
  7. Jimmy Ba
  8. Geoffrey E. Hinton
  9. Adina Williams
  10. Yoshua Bengio

Papers from Naoya Inoue's perspective

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

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

Their papers