Eran Bringer

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Eran Bringer trusts overall

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

  1. Alexander J. Ratner
  2. Stephen H. Bach
  3. David S. Batista
  4. Thomas Davidson
  5. Duyu Tang
  6. Peng Zhou
  7. Geoffrey E. Hinton
  8. Christopher R'e
  9. Volodymyr Mnih
  10. Bruno Martins

Papers from Eran Bringer's perspective

Ordered by how strongly the researchers Eran Bringer 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Learning Multiple Layers of Features from Tiny Images
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers