Satoshi Tsutsui

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 133 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Satoshi Tsutsui trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Andrej Karpathy
  4. Sepp Hochreiter
  5. Oriol Vinyals
  6. Geoffrey E. Hinton
  7. Li Fei-Fei
  8. Ilya Sutskever
  9. Jimmy Ba
  10. J. Urgen Schmidhuber

Papers from Satoshi Tsutsui's perspective

Ordered by how strongly the researchers Satoshi Tsutsui 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers