Toshiyuki Motoyoshi

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Toshiyuki Motoyoshi trusts overall

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

  1. Kaiming He
  2. Yann LeCun
  3. Alex Krizhevsky
  4. Alexey Dosovitskiy
  5. Geoffrey E. Hinton
  6. Ian J. Goodfellow
  7. Ross B. Girshick
  8. Yoshua Bengio
  9. Karen Simonyan
  10. X. Zhang

Who trusts Toshiyuki Motoyoshi overall

  1. Felipe Codevilla
  2. Yi Xiao
  3. Antonio M. López
  4. Eder Santana

Papers from Toshiyuki Motoyoshi's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers