Aws Albarghouthi

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 4 papers; trusts 90 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Aws Albarghouthi trusts overall

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

  1. Cynthia Dwork
  2. Frank McSherry
  3. Gilles Barthe
  4. Moritz Hardt
  5. Ilya Sutskever
  6. Nicholas I. Fisher
  7. Danfeng Zhang
  8. Geoffrey E. Hinton
  9. Armando Solar-Lezama
  10. Richard S. Zemel

Who trusts Aws Albarghouthi overall

  1. Zeyu Ding
  2. Yuxin Wang
  3. Guanhong Wang
  4. Stephan Morgenthaler
  5. Gian Pietro Farina

Papers from Aws Albarghouthi's perspective

Ordered by how strongly the researchers Aws Albarghouthi 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. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers