Forough Arabshahi

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Forough Arabshahi trusts overall

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

  1. Richard Socher
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Jeffrey Pennington
  5. Yoshua Bengio
  6. Alex Graves
  7. Robyn Speer
  8. Christopher D. Manning
  9. Tomas Mikolov
  10. Jimmy Ba

Who trusts Forough Arabshahi overall

  1. Kaj Bostrom

Papers from Forough Arabshahi's perspective

Ordered by how strongly the researchers Forough Arabshahi 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  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