Yaniv Azar

Computer Vision and Pattern Recognition · 2013–2020

A researcher in the Science corpus: 4 papers; trusts 87 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom Yaniv Azar trusts overall

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

  1. Theodore Ted S. Rappaport
  2. Tero Karras
  3. Rameen Abdal
  4. Geoffrey E. Hinton
  5. Kaiming He
  6. Eshar Ben-Dor
  7. Alex Krizhevsky
  8. Diederik P. Kingma
  9. James Murdock
  10. Yoshua Bengio

Who trusts Yaniv Azar overall

  1. Theodore Ted S. Rappaport
  2. George R. MacCartney
  3. Ibrahim A. Hemadeh
  4. Shu Sun
  5. Ahmed Alkhateeb
  6. Sundeep Rangan
  7. Ansuman Adhikary
  8. Mustafa Riza Akdeniz
  9. Robert W. Heath
  10. Yuval Alaluf

Papers from Yaniv Azar's perspective

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

Their papers