Rana Hanocka

Computer Vision and Pattern Recognition · with Cohen-Or · 2019

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rana Hanocka trusts overall

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

  1. Geoffrey E. Hinton
  2. Yann LeCun
  3. Alex Krizhevsky
  4. Yangqing Jia
  5. Michael M. Bronstein
  6. Sergey Ioffe
  7. Kaiming He
  8. Yoshua Bengio
  9. Diederik P. Kingma
  10. Christian Szegedy

Who trusts Rana Hanocka overall

  1. Nicholas Sharp

Papers from Rana Hanocka's perspective

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

Their papers