Ron Mokady

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 4 papers; trusts 922 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Ron Mokady trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Ross B. Girshick
  7. Ilya Sutskever
  8. Yann LeCun
  9. Karen Simonyan
  10. Shaoqing Ren

Who trusts Ron Mokady overall

  1. Tim Brooks
  2. Yuval Alaluf
  3. Soham Deshmukh
  4. Yoad Tewel
  5. Fredrik Carlsson
  6. Oron Ashual
  7. Dustin Schwenk
  8. Ao Zhang
  9. Aleksander Holynski
  10. Renrui Zhang

Papers from Ron Mokady's perspective

Ordered by how strongly the researchers Ron Mokady 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  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