Oran Shayer

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Oran Shayer trusts overall

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

  1. Diederik P. Kingma
  2. Alex Krizhevsky
  3. Ronald J. Williams
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Kaiming He
  7. Sergey Ioffe
  8. Max Welling
  9. Christian Szegedy
  10. Jimmy Ba

Who trusts Oran Shayer overall

  1. Simon Wiedemann
  2. Minsik Cho
  3. Pierre Stock
  4. Mart van Baalen
  5. Yunhui Guo
  6. Christos Louizos
  7. Keivan Alizadeh-Vahid
  8. Arturo Marbán
  9. Armand Joulin

Papers from Oran Shayer's perspective

Ordered by how strongly the researchers Oran Shayer 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers