Takeshi Onishi

Artificial Intelligence · 2016

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

Subfields

Whom Takeshi Onishi trusts overall

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

  1. Matthew Richardson
  2. Jenny Rose Finkel
  3. Felix Hill
  4. Karl Moritz Hermann
  5. Jason Aaron Edward Weston
  6. Antoine Bordes
  7. Christopher D. Manning
  8. C. Burges
  9. Sumit Chopra
  10. Trond Grenager

Who trusts Takeshi Onishi overall

  1. David A. McAllester
  2. Bhuwan Dhingra
  3. Todor Mihaylov
  4. Kai Sun
  5. Ondrej Bajgar
  6. Saku Sugawara
  7. Kevin Gimpel
  8. Jie Lei
  9. Guokun Lai
  10. Rudolf Kadlec

Papers from Takeshi Onishi's perspective

Ordered by how strongly the researchers Takeshi Onishi 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. 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