Rio Yokota

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 52 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Rio Yokota trusts overall

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

  1. James Martens
  2. Geoffrey E. Hinton
  3. Roger Baker Grosse
  4. Alex Krizhevsky
  5. Kaiming He
  6. Yoshua Bengio
  7. Radford M. Neal
  8. Jimmy Ba
  9. Diederik P. Kingma
  10. Yann LeCun

Who trusts Rio Yokota overall

  1. Tal Ben-Nun

Papers from Rio Yokota's perspective

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

Their papers