Sajad Sotudeh Gharebagh

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Sajad Sotudeh Gharebagh trusts overall

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

  1. Mirella Lapata
  2. Yang Liu
  3. Jacob Devlin
  4. Edward Collins
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Xingxing Zhang
  8. Jiacheng Xu
  9. Diederik P. Kingma
  10. Ilya Sutskever

Who trusts Sajad Sotudeh Gharebagh overall

  1. Sajad Sotudeh
  2. Jeff Wu
  3. Arman Cohan
  4. Long Ouyang

Papers from Sajad Sotudeh Gharebagh's perspective

Ordered by how strongly the researchers Sajad Sotudeh Gharebagh trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Gradient-based learning applied to document recognition

Their papers