James A. Watson

Statistics and Probability · 2014

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom James A. Watson trusts overall

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

  1. Tong Zhang
  2. Lars Peter Hansen
  3. Robert Leonard
  4. Joseph Hilbe
  5. Han Lin Shang
  6. Martin J. Wainwright
  7. Stephen G. Walker
  8. Arnak S. Dalalyan
  9. Thomas J. Sargent
  10. Jean-Michel Marin

Who trusts James A. Watson overall

  1. Martin P. Weidner
  2. Lars Peter Hansen
  3. S. Bonhomme
  4. Massimo Marinacci
  5. Christopher C. Holmes

Papers from James A. Watson's perspective

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

Their papers