Elias Boutros Khalil

Artificial Intelligence · 2014–2021

A researcher in the Science corpus: 6 papers; trusts 68 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Elias Boutros Khalil trusts overall

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

  1. Tobias Achterberg
  2. Geoffrey E. Hinton
  3. Richard S. Sutton
  4. Yoshua Bengio
  5. Thorsten Joachims
  6. Diederik P. Kingma
  7. Alex Krizhevsky
  8. Horst Samulowitz
  9. Frank Hutter
  10. Thomas G. Dietterich

Who trusts Elias Boutros Khalil overall

  1. Yoshua Bengio
  2. Andrea Lodi
  3. Dimitris J. Bertsimas
  4. Hanjun Dai
  5. Andreas Loukas
  6. Aleksandar Bojchevski
  7. Vinod Nair
  8. Michel Deudon
  9. Xinyun Chen
  10. Chaitanya K. Joshi

Papers from Elias Boutros Khalil's perspective

Ordered by how strongly the researchers Elias Boutros Khalil 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. 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