Masatoshi Yukishima

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Masatoshi Yukishima trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Karen Simonyan (in Computer Vision and Pattern Recognition)
  3. Francis R. Bach (in Artificial Intelligence)

Papers from Masatoshi Yukishima's perspective

Ordered by how strongly the researchers Masatoshi Yukishima 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: A large-scale hierarchical image database
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Rectified Linear Units Improve Restricted Boltzmann Machines
  5. Densely Connected Convolutional Networks
  6. Network In Network
  7. Regularization of Neural Networks using DropConnect
  8. Deep Sparse Rectifier Neural Networks
  9. Gradient-based learning applied to document recognition
  10. ImageNet classification with deep convolutional neural networks

Their papers