Ofir Zafrir

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Ofir Zafrir trusts overall

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

  1. Karen Simonyan
  2. Yoshua Bengio
  3. Jacob Devlin
  4. Andrew Zisserman
  5. Vincent Vanhoucke
  6. Geoffrey E. Hinton
  7. Song Han
  8. Alex Krizhevsky
  9. Diederik P. Kingma
  10. Ilya Sutskever

Who trusts Ofir Zafrir overall

  1. Sehoon Kim
  2. J. Scott McCarley
  3. Lu Hou
  4. Olga Kovaleva
  5. Anna Rogers
  6. Xinyin Ma
  7. Young Jin Kim
  8. Ali Hadi Zadeh
  9. Yuhui Li
  10. Canwen Xu

Papers from Ofir Zafrir's perspective

Ordered by how strongly the researchers Ofir Zafrir 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Going deeper with convolutions

Their papers