Ken-ichi Kawarabayashi

Artificial Intelligence · 2014–2021

A researcher in the Science corpus: 8 papers; trusts 82 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Ken-ichi Kawarabayashi trusts overall

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

  1. Yoshua Bengio
  2. Tomas Mikolov
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Ilya Sutskever
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Richard Socher
  9. Kaiming He
  10. Ruslan Salakhutdinov

Who trusts Ken-ichi Kawarabayashi overall

  1. Matthias Fey
  2. Hu Xu

Papers from Ken-ichi Kawarabayashi's perspective

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

Their papers