Shinichi Nakajima

Artificial Intelligence · 2007–2020

A researcher in the Science corpus: 8 papers; trusts 68 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Shinichi Nakajima trusts overall

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

  1. Radford M. Neal
  2. Nati Srebro
  3. Julian Besag
  4. Ruslan Salakhutdinov
  5. Jason D. M. Rennie
  6. Arkadiusz Paterek
  7. Gregory R. Grant
  8. Geoffrey E. Hinton
  9. Roman Rosipal
  10. G. Reinsel

Who trusts Shinichi Nakajima overall

  1. Sotirios P. Chatzis
  2. Masashi Sugiyama
  3. Corinna Cortes
  4. Sinno Jialin Pan
  5. Qiang Yang
  6. Takafumi Kanamori
  7. Gabriella Csurka
  8. Jaemin Yoo
  9. Hao Wu
  10. Nicolas Courty

Papers from Shinichi Nakajima's perspective

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

Their papers