Kohei Nakajima

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 3 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kohei Nakajima trusts overall

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

  1. Herbert Jaeger
  2. Rolf Pfeifer
  3. David Sussillo
  4. Wolfgang Maass
  5. Chrisantha Fernando
  6. Helmut Hauser
  7. L. F. Abbott
  8. Roger Ratcliff
  9. Mantas Lukosevicius
  10. Thomas Natschläger

Who trusts Kohei Nakajima overall

  1. Gouhei Tanaka

Papers from Kohei Nakajima's perspective

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

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers