Ichiro Sakata

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 38 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ichiro Sakata trusts overall

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

  1. Yoshua Bengio
  2. Chin-Yew Lin
  3. Geoffrey E. Hinton
  4. Wang Ling
  5. Tomas Mikolov
  6. Ilya Sutskever
  7. Julian McAuley
  8. Diederik P. Kingma
  9. Alex Krizhevsky
  10. Jian Tang

Who trusts Ichiro Sakata overall

  1. Yu-An Chung
  2. Jie Jessie Ren
  3. Peter J. Liu

Papers from Ichiro Sakata's perspective

Ordered by how strongly the researchers Ichiro Sakata 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers