Hisashi Kawai

Artificial Intelligence · 2006–2021

A researcher in the Science corpus: 13 papers; trusts 355 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Hisashi Kawai trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Graves
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Aäron van den Oord
  6. Oriol Vinyals
  7. Alex Krizhevsky
  8. Sepp Hochreiter
  9. Karen Simonyan
  10. J. Urgen Schmidhuber

Who trusts Hisashi Kawai overall

  1. Takaaki Hori
  2. Jinyu Li
  3. Jianping Gou
  4. Shinji Watanabe
  5. Takuma Okamoto
  6. Gakuto Kurata
  7. Xu Tan
  8. Hadi Pouransari
  9. Eunwoo Song
  10. Suyoun Kim

Papers from Hisashi Kawai's perspective

Ordered by how strongly the researchers Hisashi Kawai 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers