Walid Al-Atabany

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 36 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Walid Al-Atabany trusts overall

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

  1. Seyedali Mirjalili
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Christian Szegedy
  6. Sergey Ioffe
  7. Carlos Artemio Coello Coello
  8. Ilya Sutskever
  9. Ali Kaveh
  10. Dan Claudiu Ciresan

Who trusts Walid Al-Atabany overall

  1. Pavel Trojovský
  2. Mohammad Dehghani

Papers from Walid Al-Atabany's perspective

Ordered by how strongly the researchers Walid Al-Atabany trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Going deeper with convolutions
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Dropout: a simple way to prevent neural networks from overfitting
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Rectified Linear Units Improve Restricted Boltzmann Machines
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers