Erez Schwartz

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Erez Schwartz trusts overall

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

  1. Yoon Kim
  2. Guy Tennenholtz
  3. John Schulman
  4. Richard S. Sutton
  5. Shie Mannor
  6. Geoffrey E. Hinton
  7. Michal Kempka
  8. Hengyuan Hu
  9. Volodymyr Mnih
  10. Yoshua Bengio

Who trusts Erez Schwartz overall

  1. Jesse Mu
  2. Allison C. Tam

Papers from Erez Schwartz's perspective

Ordered by how strongly the researchers Erez Schwartz 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers