Michal Yarom

Computer Vision and Pattern Recognition · 2020–2025

A researcher in the Science corpus: 3 papers; trusts 132 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michal Yarom trusts overall

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

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

Papers from Michal Yarom's perspective

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

Their papers