Atsushi Nakamura

Artificial Intelligence · 2002–2014

A researcher in the Science corpus: 5 papers; trusts 23 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Atsushi Nakamura trusts overall

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

  1. Dong Yu
  2. Abdel-rahman Mohamed
  3. Geoffrey E. Hinton
  4. Brian Kingsbury
  5. Yoshua Bengio
  6. Li Deng
  7. George E. Dahl
  8. Martin A. Riedmiller
  9. Daniel Povey
  10. Frank Torsten Bernd Seide

Who trusts Atsushi Nakamura overall

  1. Li Deng
  2. Matthew Gibson
  3. Yajie Miao
  4. Heiga Zen
  5. Nelson Morgan
  6. John Dines

Papers from Atsushi Nakamura's perspective

Ordered by how strongly the researchers Atsushi Nakamura 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers