Mattan Erez

Artificial Intelligence · 2003–2019

A researcher in the Science corpus: 5 papers; trusts 76 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mattan Erez trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Christian Szegedy
  5. Ilya Sutskever
  6. Ross B. Girshick
  7. Karen Simonyan
  8. Sergey Ioffe
  9. X. Zhang
  10. Yann LeCun

Papers from Mattan Erez's perspective

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

Their papers