Emily First

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Emily First trusts overall

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

  1. Mark Harman
  2. Xavier Leroy
  3. Ilya Sutskever
  4. Albert Qiaochu Jiang
  5. Stanislas Polu
  6. Claire Le Goues
  7. Fan Long
  8. Noam Shazeer
  9. Kaiyu Yang
  10. Geoffrey E. Hinton

Who trusts Emily First overall

  1. Kaiyu Yang

Papers from Emily First's perspective

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

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

Their papers