Ariel Gordon

Computer Vision and Pattern Recognition · 2006–2019

A researcher in the Science corpus: 5 papers; trusts 170 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Ariel Gordon trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. David G. Lowe
  5. Christian Szegedy
  6. Andrew Y. Ng
  7. Yoshua Bengio
  8. Yann LeCun
  9. Sergey Ioffe
  10. Diederik P. Kingma

Who trusts Ariel Gordon overall

  1. Ting-Wu Chin
  2. Marvin Klingner
  3. Roy Schwartz
  4. Huanrui Yang
  5. Carl Lemaire
  6. Xia Xiao
  7. Jamie Watson
  8. Tien-Ju Yang
  9. Mingxing Tan
  10. Siyuan Qiao

Papers from Ariel Gordon's perspective

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

Their papers