Ryu Takeda

Artificial Intelligence · 2013–2017

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Ryu Takeda trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Frank Torsten Bernd Seide
  4. Abdel-rahman Mohamed
  5. Paul P. G. Boersma
  6. George E. Dahl
  7. David E. Rumelhart
  8. Navdeep Jaitly
  9. Ilya Sutskever
  10. Yoshua Bengio

Who trusts Ryu Takeda overall

  1. Ekin Dogus Cubuk
  2. Naoyuki Kanda
  3. Anton Ragni
  4. Mark John Francis Gales
  5. Bing Liu
  6. Xiaodong Cui
  7. Barret Zoph
  8. Tom Ko
  9. K. Knill
  10. Rohit Prabhavalkar

Papers from Ryu Takeda's perspective

Ordered by how strongly the researchers Ryu Takeda trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. A Fast Learning Algorithm for Deep Belief Nets
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet: A large-scale hierarchical image database

Their papers