Ahmed Abdulaal

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Ahmed Abdulaal trusts overall

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

  1. Jonathan Goh
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Nitish Srivastava
  6. Max Welling
  7. Ian J. Goodfellow
  8. Alex Krizhevsky
  9. Alban Siffer
  10. Dan Li

Who trusts Ahmed Abdulaal overall

  1. Donghao Luo
  2. Haixu Wu
  3. Tian Zhou
  4. Zhijian Xu
  5. Jiehui Xu
  6. Yiyuan Yang
  7. Xue Wang
  8. Ailing Zeng
  9. Jianmin Wang
  10. Peisong Niu

Papers from Ahmed Abdulaal's perspective

Ordered by how strongly the researchers Ahmed Abdulaal 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. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  10. GENERATIVE ADVERSARIAL NETS

Their papers