Masami Kato

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Masami Kato trusts overall

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

  1. Alex Krizhevsky

Papers from Masami Kato's perspective

Ordered by how strongly the researchers Masami Kato 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. Learning Multiple Layers of Features from Tiny Images
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Distilling the Knowledge in a Neural Network (arXiv.org)
  7. Densely Connected Convolutional Networks
  8. Gradient-based learning applied to document recognition
  9. FitNets: Hints for Thin Deep Nets
  10. Long Short-Term Memory

Their papers