Kazuma Kobayashi

Artificial Intelligence · 2020

A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kazuma Kobayashi trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. L. V. D. van der Maaten
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Karen Simonyan
  8. Jimmy Ba
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Kazuma Kobayashi overall

  1. Ryuji Hamamoto

Papers from Kazuma Kobayashi's perspective

Ordered by how strongly the researchers Kazuma Kobayashi 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. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  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. ImageNet Large Scale Visual Recognition Challenge

Their papers