Kensuke Yokoi

Computer Vision and Pattern Recognition · with Nishimura · 2015

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Kensuke Yokoi trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. Dan Claudiu Ciresan
  5. Ilya Sutskever
  6. Matthew D. Zeiler

Who trusts Kensuke Yokoi overall

  1. Yahia Saeed Assiri
  2. Raphael Gontijo Lopes
  3. Ekin Dogus Cubuk

Papers from Kensuke Yokoi's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Going deeper with convolutions
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Backpropagation Applied to Handwritten Zip Code Recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. Improving neural networks by preventing co-adaptation of feature detectors
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers