Naomi Saphra

Artificial Intelligence · 2014–2022

A researcher in the Science corpus: 6 papers; trusts 154 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

Whom Naomi Saphra trusts overall

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

  1. Matthew D. Zeiler
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Jonathan Frankle
  5. Diederik P. Kingma
  6. Alex Krizhevsky
  7. Ravid Shwartz-Ziv
  8. Jason Yosinski
  9. Rob Fergus
  10. Ilya Sutskever

Who trusts Naomi Saphra overall

  1. Maithra Raghu
  2. Elena Voita
  3. Julian Michael
  4. Amil Merchant
  5. John Hewitt
  6. Aniruddh Raghu
  7. Sneha Kudugunta
  8. Yonatan Belinkov
  9. John Wu
  10. Ivan Titov

Papers from Naomi Saphra's perspective

Ordered by how strongly the researchers Naomi Saphra 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers