Ali Mamdouh Elkahky

Artificial Intelligence · 2015–2023

A researcher in the Science corpus: 5 papers; trusts 36 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Ali Mamdouh Elkahky trusts overall

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

  1. Ruslan Salakhutdinov
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Chong Wang
  6. Jason D. M. Rennie
  7. Ilya Sutskever
  8. Alex Krizhevsky
  9. Andriy Mnih
  10. David M. Blei

Who trusts Ali Mamdouh Elkahky overall

  1. Charu C. Aggarwal
  2. Dietmar Jannach
  3. Aminu Da’u
  4. Fuzheng Zhang
  5. Xiangnan He
  6. Paul Covington
  7. Yingming Li
  8. Xuying Meng
  9. Yongfeng Zhang
  10. Zhenghua Xu

Papers from Ali Mamdouh Elkahky's perspective

Ordered by how strongly the researchers Ali Mamdouh Elkahky 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers