Michael Rubinstein

Computer Vision and Pattern Recognition · 1964–2023

A researcher in the Science corpus: 9 papers; trusts 405 researchers and is trusted by 218 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Rubinstein trusts overall

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

  1. Antonio Torralba
  2. Ce Liu
  3. David G. Lowe
  4. Carsten Rother
  5. William T. Freeman
  6. Geoffrey E. Hinton
  7. Bryan C. Russell
  8. Alex Krizhevsky
  9. Kaiming He
  10. Diederik P. Kingma

Who trusts Michael Rubinstein overall

  1. Xinlei Chen
  2. Xiangteng He
  3. Armand Joulin
  4. Erkut Erdem
  5. Wei-Sheng Lai
  6. Wenguan Wang
  7. Mohamed A. Elgharib
  8. Dingwen Zhang
  9. Tae-Hyun Oh
  10. Kevin D. Tang

Papers from Michael Rubinstein's perspective

Ordered by how strongly the researchers Michael Rubinstein 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  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