Edward Grant

Computer Vision and Pattern Recognition · with Gerven · 2016

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Edward Grant trusts overall

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

  1. Sergey Ioffe
  2. Christian Szegedy
  3. Geoffrey E. Hinton
  4. Danilo Jimenez Rezende
  5. Diederik P. Kingma
  6. Tejas D. Kulkarni
  7. Kaiming He
  8. Alex Krizhevsky
  9. Jimei Yang
  10. Rohit Girdhar

Who trusts Edward Grant overall

  1. Maxim Tatarchenko
  2. Alexey Dosovitskiy
  3. Bo Yang

Papers from Edward Grant's perspective

Ordered by how strongly the researchers Edward Grant 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers