Tomoya Yanagita

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Tomoya Yanagita trusts overall

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

  1. Keiichi Tokuda
  2. Daniel W. Griffin
  3. Ryosuke Sonobe
  4. Aäron van den Oord
  5. Jae S. Lim
  6. Yuxuan Wang
  7. Takashi Masuko
  8. Yoshua Bengio
  9. Dzmitry Bahdanau
  10. Geoffrey E. Hinton

Who trusts Tomoya Yanagita overall

  1. Zhaoxi Mu
  2. Brooke Stephenson
  3. Xu Tan
  4. Xinyu Yang
  5. Laurent Besacier
  6. Tao Qin

Papers from Tomoya Yanagita's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. WaveNet: A Generative Model for Raw Audio

Their papers