Ray Oshikawa

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Ray Oshikawa trusts overall

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

  1. Kai Shu
  2. William Yang Wang
  3. Tomas Mikolov
  4. Ndapandula Nakashole
  5. Andreas Vlachos
  6. Natali Ruchansky
  7. Danqi Chen
  8. Ido Dagan
  9. James Thorne
  10. Hannah Rashkin

Who trusts Ray Oshikawa overall

  1. Xinyi Zhou

Papers from Ray Oshikawa's perspective

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

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

Their papers