Atsushi Yaguchi

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 111 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Atsushi Yaguchi trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. X. Zhang
  5. Yann LeCun
  6. Yoshua Bengio
  7. Karen Simonyan
  8. Andrew Zisserman
  9. Andrew G. Howard
  10. Ross B. Girshick

Who trusts Atsushi Yaguchi overall

  1. Mikhail Khodak

Papers from Atsushi Yaguchi's perspective

Ordered by how strongly the researchers Atsushi Yaguchi 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers