Kei Akuzawa

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Kei Akuzawa trusts overall

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

  1. Diederik P. Kingma
  2. Aäron van den Oord
  3. Norbert Braunschweiler
  4. Jimmy Ba
  5. Geoffrey E. Hinton
  6. Masanori Morise
  7. Oriol Vinyals
  8. Yoshua Bengio
  9. Yaniv Taigman
  10. Alex Graves

Who trusts Kei Akuzawa overall

  1. Chenpeng Du
  2. Wei-Ning Hsu
  3. K. Yu
  4. Gustav Eje Henter
  5. Noé Tits
  6. Yanyao Bian
  7. Ya-Jie Zhang
  8. Vincent Wan
  9. Prafulla Dhariwal
  10. Yu Zhang

Papers from Kei Akuzawa's perspective

Ordered by how strongly the researchers Kei Akuzawa 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers