Takuma Okamoto

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 5 papers; trusts 145 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Takuma Okamoto trusts overall

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

  1. Aäron van den Oord
  2. Diederik P. Kingma
  3. Wei Ping
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Hideki Kawahara
  7. Keiichi Tokuda
  8. Alex Graves
  9. Karen Simonyan
  10. Danilo Jimenez Rezende

Who trusts Takuma Okamoto overall

  1. Xu Tan
  2. Eunwoo Song
  3. Qiao Tian
  4. Min-Jae Hwang
  5. Chengzhu Yu
  6. Tomoki Toda
  7. Heng Lu
  8. Zhifeng Kong
  9. Ryuichi Yamamoto
  10. Tao Qin

Papers from Takuma Okamoto's perspective

Ordered by how strongly the researchers Takuma Okamoto 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  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