Roy Shilkrot

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 102 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Roy Shilkrot trusts overall

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

  1. Karen Simonyan
  2. Andrew Zisserman
  3. Liang-Chieh Chen
  4. Yin Li
  5. Kaiming He
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky
  8. Ross B. Girshick
  9. Yann LeCun
  10. Yoshua Bengio

Who trusts Roy Shilkrot overall

  1. Sangpil Kim
  2. Xiao Hu

Papers from Roy Shilkrot's perspective

Ordered by how strongly the researchers Roy Shilkrot 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. ImageNet: A large-scale hierarchical image database
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers