Kou Tanaka

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 4 papers; trusts 91 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Kou Tanaka trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Aäron van den Oord
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Alex Krizhevsky
  8. Alex Graves
  9. Jimmy Ba
  10. Karen Simonyan

Who trusts Kou Tanaka overall

  1. Hubert Siuzdak
  2. Kaizhi Qian
  3. Cong Han
  4. Hieu-Thi Luong

Papers from Kou Tanaka's perspective

Ordered by how strongly the researchers Kou Tanaka 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. GENERATIVE ADVERSARIAL NETS
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers