Muhammad Khalifa

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 70 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Muhammad Khalifa trusts overall

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

  1. Geoffrey E. Hinton
  2. Ronald J. Williams
  3. Yoshua Bengio
  4. Yann LeCun
  5. Marc'Aurelio Ranzato
  6. Diederik P. Kingma
  7. Ilya Sutskever
  8. Alex Krizhevsky
  9. Kaiming He
  10. Dzmitry Bahdanau

Who trusts Muhammad Khalifa overall

  1. Tomasz Korbak
  2. Bryan Eikema
  3. Hady ElSahar
  4. Germán Kruszewski
  5. Sachin Kumar
  6. Marc Dymetman
  7. Dongyoung Go
  8. Ximing Lu
  9. Biswajit Paria
  10. Yu Meng

Papers from Muhammad Khalifa's perspective

Ordered by how strongly the researchers Muhammad Khalifa 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers