Shiran Zada

Computer Vision and Pattern Recognition · 2022–2024

A researcher in the Science corpus: 3 papers; trusts 56 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shiran Zada trusts overall

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

  1. Diederik P. Kingma
  2. Jonathan Ho
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Yuval Alaluf
  7. Kaiming He
  8. Jimmy Ba
  9. Yann LeCun
  10. Ilya Sutskever

Papers from Shiran Zada's perspective

Ordered by how strongly the researchers Shiran Zada 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. GENERATIVE ADVERSARIAL NETS
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers