Toke Thomas Høye

Nature and Landscape Conservation · 2008–2020

A researcher in the Science corpus: 9 papers; trusts 12 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Toke Thomas Høye trusts overall

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

  1. Alan Y. Chiang
  2. Sujeevan Ratnasingham
  3. M. Forchhammer
  4. M. Visser
  5. Chuanxing Geng
  6. Paul D. N. Hebert
  7. C. Both
  8. David I. Inouye
  9. Nicholas Gotelli
  10. E. Post

Who trusts Toke Thomas Høye overall

  1. Jessica R. K. Forrest
  2. J. Ollerton
  3. S. Loboda
  4. D. Wagner

Papers from Toke Thomas Høye's perspective

Ordered by how strongly the researchers Toke Thomas Høye 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. Large Scale Distributed Deep Networks
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Going deeper with convolutions
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers