Katherine R. Gray

NeuroImage · 2013

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Katherine R. Gray trusts overall

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

  1. Niko Speybroeck
  2. Mikhail Belkin
  3. Trevor J. Hastie
  4. Andy Liaw
  5. Josh Tenenbaum
  6. Antonio Criminisi
  7. Chris Hinrichs
  8. Daoqiang Zhang
  9. Oskar Hansson
  10. Jerome H. Friedman

Who trusts Katherine R. Gray overall

  1. Shuihua Wang
  2. Esther E. Bron

Papers from Katherine R. Gray's perspective

Ordered by how strongly the researchers Katherine R. Gray 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. Learning Multiple Layers of Features from Tiny Images
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. A global geometric framework for nonlinear dimensionality reduction.
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers