Yuval Nirkin

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 5 papers; trusts 804 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom Yuval Nirkin 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. Karen Simonyan
  6. Andrew Zisserman
  7. Yoshua Bengio
  8. Ross B. Girshick
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Yuval Nirkin overall

  1. Yisroel Mirsky
  2. Anh Tuan Tran
  3. Renwang Chen
  4. Lingzhi Li
  5. Brian Dolhansky
  6. Momina Masood
  7. Yotam Nitzan
  8. Deressa Wodajo
  9. Wenke Lee
  10. Tal Hassner

Papers from Yuval Nirkin's perspective

Ordered by how strongly the researchers Yuval Nirkin 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  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. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers