Dawn Drain

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 17 papers; trusts 51 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Dawn Drain trusts overall

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

  1. Ashish Vaswani
  2. Geoffrey E. Hinton
  3. Rico Sennrich
  4. Noam Shazeer
  5. Jacob Devlin
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Ilya Sutskever
  9. Colin Raffel
  10. Alex Krizhevsky

Who trusts Dawn Drain overall

  1. Federico Cassano
  2. Michele Tufano
  3. Hammond A. Pearce
  4. Baptiste Rozière
  5. Ma Jin
  6. Shubham Chandel
  7. Yue Wang
  8. Wasi Uddin Ahmad
  9. Neel Sundaresan
  10. Mark Chen

Papers from Dawn Drain's perspective

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

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

Their papers