Ryo Akita

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Ryo Akita trusts overall

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

  1. Diederik P. Kingma
  2. Jimmy Ba
  3. Geoffrey E. Hinton
  4. Sepp Hochreiter
  5. J. Urgen Schmidhuber
  6. Xiao Ding
  7. Kyoung-jae Kim
  8. Ilya Sutskever
  9. Tomas Mikolov
  10. Wojciech Zaremba

Who trusts Ryo Akita overall

  1. Omer Berat Sezer
  2. A. Ozbayoglu
  3. Weiwei Jiang
  4. M. Ugur Gudelek
  5. Liheng Zhang
  6. Bang Xiang Yong
  7. Khaled A. Althelaya
  8. Takashi Matsubara
  9. Ziniu Hu
  10. Charu C. Aggarwal

Papers from Ryo Akita's perspective

Ordered by how strongly the researchers Ryo Akita 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. GENERATIVE ADVERSARIAL NETS

Their papers