Rikiya Yamashita

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 104 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rikiya Yamashita trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Kaiming He
  4. Karen Simonyan
  5. Christian Szegedy
  6. Ilya Sutskever
  7. Yoshua Bengio
  8. Shaoqing Ren
  9. Matthew D. Zeiler
  10. Yann LeCun

Who trusts Rikiya Yamashita overall

  1. Anne Marie Delaney
  2. Parnian Afshar
  3. José Antonio Naranjo-Torres
  4. B. Bhinder
  5. Eoin Brophy

Papers from Rikiya Yamashita's perspective

Ordered by how strongly the researchers Rikiya Yamashita 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. 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. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers