Nobutaka Ito

Signal Processing · 2013–2018

A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Nobutaka Ito trusts overall

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

  1. Geoffrey E. Hinton
  2. Dong Yu
  3. Hank Liao
  4. Tomas Mikolov
  5. Emmanuel Vincent
  6. Takuya Yoshioka
  7. George E. Dahl
  8. Li Deng
  9. Abdel-rahman Mohamed
  10. Yoshua Bengio

Who trusts Nobutaka Ito overall

  1. Chandan K. A. Reddy
  2. Cassia Valentini-Botinhao
  3. Naoya Takahashi
  4. Ross Cutler
  5. Harishchandra Dubey
  6. Craig Macartney
  7. Junichi Yamagishi
  8. Mirco Ravanelli
  9. Vishak Gopal
  10. Jonathan Le Roux

Papers from Nobutaka Ito's perspective

Ordered by how strongly the researchers Nobutaka Ito 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. Going deeper with convolutions
  8. A Fast Learning Algorithm for Deep Belief Nets
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers