Jordan Yaniv

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 253 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jordan Yaniv trusts overall

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

  1. Karen Simonyan
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Kaiming He
  5. Piotr Doll'ar
  6. Davis E. King
  7. Diederik P. Kingma
  8. Andrew Zisserman
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Jordan Yaniv overall

  1. Yang Zhou
  2. Dingzeyu Li

Papers from Jordan Yaniv's perspective

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

Their papers