Abdallah Shami

Artificial Intelligence · 2014–2021

A researcher in the Science corpus: 5 papers; trusts 93 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Abdallah Shami trusts overall

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

  1. James Bergstra
  2. Yoshua Bengio
  3. Katharina Eggensperger
  4. Frank Hutter
  5. Robert Tibshirani
  6. Geoffrey E. Hinton
  7. Michael I. Jordan
  8. Alex Krizhevsky
  9. Radford M. Neal
  10. Charles M. Bishop

Who trusts Abdallah Shami overall

  1. Li Yang
  2. Yong Li
  3. Vincenzo Eramo
  4. Imtiaz Parvez

Papers from Abdallah Shami's perspective

Ordered by how strongly the researchers Abdallah Shami 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. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  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