Nader Akoury

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 200 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Nader Akoury trusts overall

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

  1. Diederik P. Kingma
  2. Aäron van den Oord
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Alex Graves
  6. Yann LeCun
  7. Nal Kalchbrenner
  8. Alex Krizhevsky
  9. Tim Salimans
  10. Ilya Sutskever

Who trusts Nader Akoury overall

  1. Elizabeth Clark
  2. Cheng-Han Chiang
  3. Kalpesh Krishna
  4. Noah A. Smith
  5. Maurice Jakesch
  6. Eric Wallace

Papers from Nader Akoury's perspective

Ordered by how strongly the researchers Nader Akoury 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers